Author: "Katherine, Zukotynski" - Searchworks@Jio Institute Digital Library Search Results

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149 results on '"Katherine, Zukotynski"'

1. Random Forest and K-Means Clustering Algorithms to Classify of 18F-Florbetapir Brain PET.

Author: Alexa Bootherstone, Louis Lee, Liam Cristant, Phillip H. Kuo, Carlos Uribe, Sandra E. Black, Katherine Zukotynski, and Vincent Gaudet
Published: 2024
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2. Free water levels in normal-appearing white matter predict vascular lesion progression in individuals with dementia

Author: Julie Ottoy, Joel Ramirez, Min Su Kang, Eric Yin, Miracle Ozzoude, Katherine Zukotynski, Walter Swardfager, Christopher Scott, Stephanie Berberian, Fuqiang Gao, Ginelle Feliciano, Lauren Abby Woods, Erin Gibson, Eric E. Smith, Nesrine Rahmouni, Joseph Therriault, Stijn Servaes, Robin Hsiung, Robert LaForce, Jr., Frank S. Prato, Phillip H. Kuo, Jean-Paul Soucy, Jean-Claude Tardif, Pedro Rosa-Neto, Sandra E. Black, and Maged Goubran
Subjects: Specialties of internal medicine, RC581-951, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract: Introduction: Cerebral small vessel disease (SVD) is a common co-pathology in elderly and individuals with dementia. Neuroimaging markers of SVD include white matter hyperintensities (WMH) and MRI-visible perivascular spaces (PVS). However, the mechanisms underlying changes in these markers over time, whether ischemic or beta-amyloid (Aβ)-related, remain elusive. Here, we evaluated the effects of microstructural injury in the normal-appearing white matter and Aβ in the cerebral cortex on the progression of WMH and PVS over three years. Methods: Data was obtained from two independent cohorts: (i) TRIAD, comprising cognitively normal, MCI, and AD dementia participants (baseline: N=199, follow-up year 1 and 2: N=102 and 62); and (ii) MITNEC-C6, comprising “real-world” patients with mixed dementia and moderate-to- severe WMH burden (baseline: N=52, 2 years follow-up: N=25). We quantified global WMH and PVS volumes from FLAIR and T1w MRI. At baseline, we examined associations between these volumes and diffusion MRI-derived free water. Longitudinally, we employed linear [mixed-effect] models to investigate the relation of WMH or PVS volume changes over time with baseline free water, using cortical Aβ-PET, age, sex, and APOE-ε4 as covariates. Results: In TRIAD and MITNEC-C6 respectively, mean ages were 72±6 and 77±8 y, 60% and 42% were female, and 41% and 48% were Aβ-positive. At baseline, higher free water in normal- appearing white matter was associated with higher WMH volume (β_TRIAD=+0.34±0.06, P_TRIAD
Published: 2024
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3. Wavelet phase coherence of ictal scalp EEG-extracted muscle activity (SMA) as a biomarker for sudden unexpected death in epilepsy (SUDEP).

Author: Adam C Gravitis, Krishram Sivendiran, Uilki Tufa, Katherine Zukotynski, Yotin Chinvarun, Orrin Devinsky, Richard Wennberg, Peter L Carlen, and Berj L Bardakjian
Subjects: Medicine, Science
Abstract: ObjectiveApproximately 50 million people worldwide have epilepsy and 8-17% of the deaths in patients with epilepsy are attributed to sudden unexpected death in epilepsy (SUDEP). The goal of the present work was to establish a biomarker for SUDEP so that preventive treatment can be instituted.ApproachSeizure activity in patients with SUDEP and non-SUDEP was analyzed, specifically, the scalp EEG extracted muscle activity (SMA) and the average wavelet phase coherence (WPC) during seizures was computed for two frequency ranges (1-12 Hz, 13-30 Hz) to identify differences between the two groups.Main resultsIctal SMA in SUDEP patients showed a statistically higher average WPC value when compared to non-SUDEP patients for both frequency ranges. Area under curve for a cross-validated logistic classifier was 81%.SignificanceAverage WPC of ictal SMA is a candidate biomarker for early detection of SUDEP.
Published: 2024
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4. EFFECTS OF VASCULAR BURDEN ON COGNITION ARE MEDIATED BY ATROPHY, AMYLOID, AND GLUCOSE METABOLISM: A MULTI-CENTRE MIXED COHORT OF SMALL VESSEL DISEASE AND ALZHEIMER'S PATHOLOGY

Author: Julie Ottoy, LC Campbell, Miracle Ozzoude, LC Campbell, Katherine Zukotynski, LC Campbell, Sabrina Adamo, LC Campbell, Christopher Scott, LC Campbell, Vincent Gaudet, Joel Ramirez, LC Campbell, Walter Swardfager, Hugo Cogo-Moreira, LC Campbell, Benjamin Lam, LC Campbell, Aparna Bhan, LC Campbell, Parisa Mojiri, LC Campbell, Min Su Kang, Jennifer Rabin, LC Campbell, Alex Kiss, Stephen Strother, Christian Bocti, Michael Borrie, Howard Chertkow, Richard Frayne, Robin Hsiung, Robert Laforce, Jr., Michael D. Noseworthy, Frank S. Prato, Demetrios J. Sahlas, Eric E. Smith, Phillip H. Kuo, Vesna Sossi, Alexander Thiel, Jean-Paul Soucy, Jean-Claude Tardif, Sandra E. Black, LC Campbell, and Maged Goubran, LC Campbell
Subjects: Specialties of internal medicine, RC581-951, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Published: 2024
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5. A brief overview of targeted radionuclide therapy trials in 2022

Author: Aidan Healy, Elaine Ho, Phillip Kuo, and Katherine Zukotynski
Subjects: targeted radionuclide therapy, clinical trials, somatostatin receptors, prostate specific membrane antigen, nuclear medicine, Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract: There is a growing use of radionuclide therapy for the medical care of oncology patients, where radioactive pharmaceuticals are used to target and treat various cancer types. This paper provides a brief overview illustrating the spectrum of ongoing and recently completed radionuclide therapy clinical trials in oncology. The trials selected highlight the potential of radionuclide therapies to provide a promising treatment option across a spectrum of cancer patients, while also discussing the importance of patient selection and monitoring, as well as potential side effects and safety concerns. Ultimately, the results of these trials will be crucial in determining the future use of radionuclide therapies in cancer treatment.
Published: 2023
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6. Ictal ECG-based assessment of sudden unexpected death in epilepsy

Author: Adam C. Gravitis, Uilki Tufa, Katherine Zukotynski, David L. Streiner, Daniel Friedman, Juliana Laze, Yotin Chinvarun, Orrin Devinsky, Richard Wennberg, Peter L. Carlen, and Berj L. Bardakjian
Subjects: epilepsy, sudden unexpected death in epilepsy, cross-frequency coupling, ECG, signal processing, risk assessment, Neurology. Diseases of the nervous system, RC346-429
Abstract: IntroductionPrevious case-control studies of sudden unexpected death in epilepsy (SUDEP) patients failed to identify ECG features (peri-ictal heart rate, heart rate variability, corrected QT interval, postictal heart rate recovery, and cardiac rhythm) predictive of SUDEP risk. This implied a need to derive novel metrics to assess SUDEP risk from ECG.MethodsWe applied Single Spectrum Analysis and Independent Component Analysis (SSA-ICA) to remove artifact from ECG recordings. Then cross-frequency phase-phase coupling (PPC) was applied to a 20-s mid-seizure window and a contour of −3 dB coupling strength was determined. The contour centroid polar coordinates, amplitude (alpha) and angle (theta), were calculated. Association of alpha and theta with SUDEP was assessed and a logistic classifier for alpha was constructed.ResultsAlpha was higher in SUDEP patients, compared to non-SUDEP patients (p < 0.001). Theta showed no significant difference between patient populations. The receiver operating characteristic (ROC) of a logistic classifier for alpha resulted in an area under the ROC curve (AUC) of 94% and correctly classified two test SUDEP patients.DiscussionThis study develops a novel metric alpha, which highlights non-linear interactions between two rhythms in the ECG, and is predictive of SUDEP risk.
Published: 2023
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7. 18F-DCFPyL (PSMA) PET as a radiotherapy response assessment tool in metastatic prostate cancer

Author: Aruz Mesci, Elham Ahmadi, Amr Ali, Mohammad Gouran-Savadkoohi, Evangelia Evelyn Tsakiridis, Olga-Demetra Biziotis, Tom Chow, Anil Kapoor, Monalisa Sur, Gregory R. Steinberg, Stanley Liu, Katherine Zukotynski, and Theodoros Tsakiridis
Subjects: PSMA-PET, FOLH1 expression, Immunohistochemistry, qPCR, Radio-resistance, Tumor heterogeneity, Medical physics. Medical radiology. Nuclear medicine, R895-920, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Background: Prostate Specific Membrane Antigen (PSMA) – positron emission tomography (PET) guides metastasis-directed radiotherapy (MDRT) in prostate cancer (PrCa). However, its value as a treatment response assessment tool after MDRT remains unclear. Importantly, there is limited understanding of the potential of radiotherapy (RT) to alter PSMA gene (folate hydrolase 1; FOLH1) expression. Methodology: We reviewed a series of 11 men with oligo-metastatic PrCa (25 metastasis sites) treated with MDRT before re-staging with 18F-DCFPyL (PSMA) PET upon secondary recurrence. Acute effects of RT on PSMA protein and mRNA levels were examined with qPCR and immunoblotting in human wild-type androgen-sensitive (LNCap), castrate-resistant (22RV1) and castrate-resistant neuroendocrine (PC3 and DU145) PrCa cell lines. Xenograft tumors were analyzed with immunohistochemistry. Further, we examined PSMA expression in untreated and irradiated radio-resistant (RR) 22RV1 (22RV1-RR) and DU145 (DU145-RR) cells and xenografts selected for survival after high-dose RT. Results: The majority of MDRT-treated lesions showed lack of PSMA-PET/CT avidity, suggesting treatment response even after low biological effective dose (BED) MDRT. We observed similar high degree of heterogeneity of PSMA expression in both human specimens and in xenograft tumors. PSMA was highly expressed in LNCap and 22RV1 cells and tumors but not in the neuroendocrine PC3 and DU145 models. Single fraction RT caused detectable reduction in PSMA protein but not in mRNA levels in LNCap cells and did not significantly alter PSMA protein or mRNA levels in tissue culture or xenografts of the other cell lines. However, radio-resistant 22RV1-RR cells and tumors demonstrated marked decrease of PSMA transcript and protein expression over their parental counterparts. Conclusions: PSMA-PET may be a promising tool to assess RT response in oligo-metastatic PrCa. However, future systematic investigation of this concept should recognize the high degree of heterogeneity of PSMA expression within prostate tumors and the risk for loss of PSMA expression in tumor surviving curative courses of RT.
Published: 2023
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8. PSMA PET/CT guided intensification of therapy in patients at risk of advanced prostate cancer (PATRON): a pragmatic phase III randomized controlled trial

Author: Cynthia Ménard, Sympascho Young, Katherine Zukotynski, Robert J. Hamilton, François Bénard, Steven Yip, Christopher McCabe, Fred Saad, Michael Brundage, Roy Nitulescu, and Glenn Bauman
Subjects: PSMA PET, Prostate cancer, Phase III clinical trial, Cost-effectiveness analysis, Failure free survival, Overall survival, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Abstract Background Positron emission tomography targeting the prostate specific membrane antigen (PSMA PET/CT) has demonstrated unparalleled performance as a staging examination for prostate cancer resulting in substantial changes in management. However, the impact of altered management on patient outcomes is largely unknown. This study aims to assess the impact of intensified radiotherapy or surgery guided by PSMA PET/CT in patients at risk of advanced prostate cancer. Methods This pan-Canadian phase III randomized controlled trial will enroll 776 men with either untreated high risk prostate cancer (CAPRA score 6–10 or stage cN1) or biochemically recurrent prostate cancer post radical prostatectomy (PSA > 0.1 ng/mL). Patients will be randomized 1:1 to either receive conventional imaging or conventional plus PSMA PET imaging, with intensification of radiotherapy or surgery to newly identified disease sites. The primary endpoint is failure free survival at 5 years. Secondary endpoints include rates of adverse events, time to next-line therapy, as well as impact on health-related quality of life and cost effectiveness as measured by incremental cost per Quality Adjusted Life Years gained. Discussion This study will help create level 1 evidence needed to demonstrate whether or not intensification of radiotherapy or surgery based on PSMA PET findings improves outcomes of patients at risk of advanced prostate cancer in a manner that is cost-effective. Trial registration This trial was prospectively registered in ClinicalTrials.gov as NCT04557501 on September 21, 2020.
Published: 2022
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9. Defining radio-recurrent intra-prostatic target volumes using PSMA-targeted PET/CT and multi-parametric MRI

Author: Wei Liu, Hatim Fakir, Gurpreet Randhawa, Ryan Alfano, Mark Corkum, Zahra Kassam, Irina Rachinsky, Hans T. Chung, Peter Chung, Andrew Loblaw, Gerard Morton, Tracy Sexton, Anil Kapoor, Aaron Ward, Katherine Zukotynski, Louise Emmett, and Glenn Bauman
Subjects: Prostate cancer, PSMA PET/CT, MRI, Radio-recurrence, Medical physics. Medical radiology. Nuclear medicine, R895-920, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Purpose: Our purpose was to evaluate intra-prostatic cancer volumes for salvage radiotherapy in men with recurrent prostate cancer confined to the prostate post-primary radiotherapy using mpMRI and 18F-DCFPyL PET/CT (PET). Methods: Men with biochemical failure post-primary radiotherapy were enrolled in a multi-centre trial investigating mpMRI and PET. All men with isolated intra-prostatic recurrence are included in this secondary analysis. The intra-prostatic gross tumour volume (GTV) was manually delineated on mpMRI and was also delineated on PET using three methods: 1. manually, 2. using a 30% threshold of maximum intra-prostatic standard uptake value (SUVmax), and 3. using a 67% threshold of this SUVmax. Clinical target volumes (CTV) including expansions on each GTV were generated. Conformity indices were performed between the mpMRI CTV and each PET CTV. Correlation with biopsy and clinical outcomes were performed. Results: Of the 36 men included, 30 (83%) had disease in two quadrants or less using the combination of mpMRI and PET. Mean target volume (union of CTV on mpMRI and CTV manually delineated on PET) was 12.2 cc (49% of prostate gland volume). 12/36 (33%) men had a biopsy. Per-patient sensitivity was 91% for mpMRI and 82% for PET. Conclusions: mpMRI and PET provide complementary information for delineation of intra-prostatic recurrent disease. Union of CTV on mpMRI and PET is often less than 50% of the prostate, suggesting this imaging could help define a target for focal salvage therapy.
Published: 2022
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10. Impact of COVID-19 Pandemic on Cardiovascular Testing in Asia

Author: Takashi Kudo, MD, PhD, Ryan Lahey, MD, PhD, Cole B. Hirschfeld, MD, Michelle C. Williams, MBChB, PhD, Bin Lu, MD, PhD, Mirvat Alasnag, MD, Mona Bhatia, MD, Hee-Seung Henry Bom, MD, PhD, Tairkhan Dautov, MD, Reza Fazel, MD, MSc, Ganesan Karthikeyan, MD, Felix Y.J. Keng, MBBS, Ronen Rubinshtein, MD, Nathan Better, MBBS, Rodrigo Julio Cerci, MD, Sharmila Dorbala, MD, MPH, Paolo Raggi, MD, Leslee J. Shaw, PhD, Todd C. Villines, MD, João V. Vitola, MD, PhD, Andrew D. Choi, MD, Eli Malkovskiy, Benjamin Goebel, BS, Yosef A. Cohen, BA, Michael Randazzo, MD, Thomas N.B. Pascual, MD, Yaroslav Pynda, MSc, Maurizio Dondi, MD, PhD, Diana Paez, MD, MEd, Andrew J. Einstein, MD, PhD, Andrew J. Einstein, Diana Paez, Maurizio Dondi, Nathan Better, Rodrigo Cerci, Sharmila Dorbala, Thomas N.B. Pascual, Paolo Raggi, Leslee J. Shaw, Todd C. Villines, Joao V. Vitola, Michelle C. Williams, Yaroslav Pynda, Gerd Hinterleitner, Yao Lu, Olga Morozova, Zhuoran Xu, Cole B. Hirschfeld, Yosef Cohen, Benjamin Goebel, Michael Randazzo, Andrew Choi, Juan Lopez-Mattei, Purvi Parwani, Mohammad Nawaz Nasery, Artan Goda, Ervina Shirka, Rabie Benlabgaa, Salah Bouyoucef, Abdelkader Medjahedi, Qais Nailli, Mariela Agolti, Roberto Nicolas Aguero, Maria del Carmen Alak, Lucia Graciela Alberguina, Guillermo Arroñada, Andrea Astesiano, Alfredo Astesiano, Carolina Bas Norton, Pablo Benteo, Juan Blanco, Juan Manuel Bonelli, Jose Javier Bustos, Raul Cabrejas, Jorge Cachero, Roxana Campisi, Alejandro Canderoli, Silvia Carames, Patrícia Carrascosa, Ricardo Castro, Oscar Cendoya, Luciano Martin Cognigni, Carlos Collaud, Claudia Cortes, Javier Courtis, Daniel Cragnolino, Mariana Daicz, Alejandro De La Vega, Silvia Teresa De Maria, Horacio Del Riego, Fernando Dettori, Alejandro Deviggiano, Laura Dragonetti, Mario Embon, Ruben Emilio Enriquez, Jorge Ensinas, Fernando Faccio, Adolfo Facello, Diego Garofalo, Ricardo Geronazzo, Natalia Gonza, Lucas Gutierrez, Miguel Angel Guzzo, Victor Hasbani, Melina Huerin, Victor Jäger, Julio Manuel Lewkowicz, Maria Nieves A. López De Munaín, Jose Maria Lotti, Alejandra Marquez, Osvaldo Masoli, Osvaldo Horacio Masoli, Edgardo Mastrovito, Matias Mayoraz, Graciela Eva Melado, Anibal Mele, Maria Fernanda Merani, Alejandro Horacio Meretta, Susana Molteni, Marcos Montecinos, Eduardo Noguera, Carlos Novoa, Claudio Pereyra Sueldo, Sebastian Perez Ascani, Pablo Pollono, Maria Paula Pujol, Alejandro Radzinschi, Gustavo Raimondi, Marcela Redruello, Marina Rodríguez, Matías Rodríguez, Romina Lorena Romero, Arturo Romero Acuña, Federico Rovaletti, Lucas San Miguel, Lucrecia Solari, Bruno Strada, Sonia Traverso, Sonia Simona Traverzo, Maria del Huerto Velazquez Espeche, Juan Sebastian Weihmuller, Juan Wolcan, Susana Zeffiro, Mari Sakanyan, Scott Beuzeville, Raef Boktor, Patrick Butler, Jennifer Calcott, Loretta Carr, Virgil Chan, Charles Chao, Woon Chong, Mark Dobson, D'Arne Downie, Girish Dwivedi, Barry Elison, Jean Engela, Roslyn Francis, Anand Gaikwad, Ashok Gangasandra Basavaraj, Bruce Goodwin, Robert Greenough, Christian Hamilton-Craig, Victar Hsieh, Subodh Joshi, Karin Lederer, Kenneth Lee, Joseph Lee, John Magnussen, Nghi Mai, Gordon Mander, Fiona Murton, Dee Nandurkar, Johanne Neill, Edward O'Rourke, Patricia O'Sullivan, George Pandos, Kunthi Pathmaraj, Alexander Pitman, Rohan Poulter, Manuja Premaratne, David Prior, Lloyd Ridley, Natalie Rutherford, Hamid Salehi, Connor Saunders, Luke Scarlett, Sujith Seneviratne, Deepa Shetty, Ganesh Shrestha, Jonathan Shulman, Vijay Solanki, Tony Stanton, Murch Stuart, Michael Stubbs, Ian Swainson, Kim Taubman, Andrew Taylor, Paul Thomas, Steven Unger, Anthony Upton, Shankar Vamadevan, William Van Gaal, Johan Verjans, Demetrius Voutnis, Victor Wayne, Peter Wilson, David Wong, Kirby Wong, John Younger, Gudrun Feuchtner, Siroos Mirzaei, Konrad Weiss, Natallia Maroz-Vadalazhskaya, Olivier Gheysens, Filip Homans, Rodrigo Moreno-Reyes, Agnès Pasquet, Veronique Roelants, Caroline M. Van De Heyning, Raúl Araujo Ríos, Valentina Soldat-Stankovic, Sinisa Stankovic, Maria Helena Albernaz Siqueira, Augusto Almeida, Paulo Henrique Alves Togni, Jose Henrique Andrade, Luciana Andrade, Carlos Anselmi, Roberta Araújo, Guilherme Azevedo, Sabbrina Bezerra, Rodrigo Biancardi, Gabriel Blacher Grossman, Simone Brandão, Diego Bromfman Pianta, Lara Carreira, Bruno Castro, Tien Chang, Fernando Cunali, Jr., Roberto Cury, Roberto Dantas, Fernando de Amorim Fernandes, Andrea De Lorenzo, Robson De Macedo Filho, Fernanda Erthal, Fabio Fernandes, Juliano Fernandes, Thiago Ferreira De Souza, Wilson Furlan Alves, Bruno Ghini, Luiz Goncalves, Ilan Gottlieb, Marcelo Hadlich, Vinícius Kameoka, Ronaldo Lima, Adna Lima, Rafael Willain Lopes, Ricardo Machado e Silva, Tiago Magalhães, Fábio Martins Silva, Luiz Eduardo Mastrocola, Fábio Medeiros, José Claudio Meneghetti, Vania Naue, Danilo Naves, Roberto Nolasco, Cesar Nomura, Joao Bruno Oliveira, Eduardo Paixao, Filipe Penna De Carvalho, Ibraim Pinto, Priscila Possetti, Mayra Quinta, Rodrigo Rizzo Nogueira Ramos, Ricardo Rocha, Alfredo Rodrigues, Carlos Rodrigues, Leila Romantini, Adelina Sanches, Sara Santana, Leonardo Sara da Silva, Paulo Schvartzman, Cristina Sebastião Matushita, Tiago Senra, Afonso Shiozaki, Maria Eduarda Menezes de Siqueira, Cristiano Siqueira, Paola Smanio, Carlos Eduardo Soares, José Soares Junior, Marcio Sommer Bittencourt, Bernardo Spiro, Cláudio Tinoco Mesquita, Jorge Torreao, Rafael Torres, Marly Uellendahl, Guilherme Urpia Monte, Otávia Veríssimo, Estevan Vieira Cabeda, Felipe Villela Pedras, Roberto Waltrick, Marcello Zapparoli, Hamid Naseer, Marina Garcheva-Tsacheva, Irena Kostadinova, Youdaline Theng, Gad Abikhzer, Rene Barette, Benjamin Chow, Dominique Dabreo, Matthias Friedrich, Ria Garg, Mohammed Nassoh Hafez, Chris Johnson, Marla Kiess, Jonathon Leipsic, Eugene Leung, Robert Miller, Anastasia Oikonomou, Stephan Probst, Idan Roifman, Gary Small, Vikas Tandon, Adwait Trivedi, James White, Katherine Zukotynski, Jose Canessa, Gabriel Castro Muñoz, Carmen Concha, Pablo Hidalgo, Cesar Lovera, Teresa Massardo, Luis Salazar Vargas, Pedro Abad, Harold Arturo, Sandra Ayala, Luis Benitez, Alberto Cadena, Carlos Caicedo, Antonio Calderón Moncayo, Sharon Gomez, Claudia T. Gutierrez Villamil, Claudia Jaimes, Juan Londoño, Juan Luis Londoño Blair, Luz Pabon, Mauricio Pineda, Juan Carlos Rojas, Diego Ruiz, Manuel Valencia Escobar, Andres Vasquez, Damiana Vergel, Alejandro Zuluaga, Isabel Berrocal Gamboa, Gabriel Castro, Ulises González, Ana Baric, Tonci Batinic, Maja Franceschi, Maja Hrabak Paar, Mladen Jukic, Petar Medakovic, Viktor Persic, Marina Prpic, Ante Punda, Juan Felipe Batista, Juan Manuel Gómez Lauchy, Yamile Marcos Gutierrez, Rayner Menéndez, Amalia Peix, Luis Rochela, Christoforos Panagidis, Ioannis Petrou, Vaclav Engelmann, Milan Kaminek, Vladimír Kincl, Otto Lang, Milan Simanek, Jawdat Abdulla, Morten Bøttcher, Mette Christensen, Lars Christian Gormsen, Philip Hasbak, Søren Hess, Paw Holdgaard, Allan Johansen, Kasper Kyhl, Bjarne Linde Norgaard, Kristian Altern Øvrehus, Niels Peter Rønnow Sand, Rolf Steffensen, Anders Thomassen, Bo Zerahn, Alfredo Perez, Giovanni Alejandro Escorza Velez, Mayra Sanchez Velez, Islam Shawky Abdel Aziz, Mahasen Abougabal, Taghreed Ahmed, Adel Allam, Ahmed Asfour, Mona Hassan, Alia Hassan, Ahmed Ibrahim, Sameh Kaffas, Ahmed Kandeel, Mohamed Mandour Ali, Ahmad Mansy, Hany Maurice, Sherif Nabil, Mahmoud Shaaban, Ana Camila Flores, Anne Poksi, Juhani Knuuti, Velipekka Kokkonen, Martti Larikka, Valtteri Uusitalo, Matthieu Bailly, Samuel Burg, Jean-François Deux, Vincent Habouzit, Fabien Hyafil, Olivier Lairez, Franck Proffit, Hamza Regaieg, Laure Sarda-Mantel, Vania Tacher, Roman P. Schneider, Harold Ayetey, George Angelidis, Aikaterini Archontaki, Sofia Chatziioannou, Ioannis Datseris, Christina Fragkaki, Panagiotis Georgoulias, Sophia Koukouraki, Maria Koutelou, Eleni Kyrozi, Evangelos Repasos, Petros Stavrou, Pipitsa Valsamaki, Carla Gonzalez, Goleat Gutierrez, Alejandro Maldonado, Klara Buga, Ildiko Garai, Pál Maurovich-Horvat, Erzsébet Schmidt, Balint Szilveszter, Edit Várady, Nilesh Banthia, Jinendra Kumar Bhagat, Rishi Bhargava, Vivek Bhat, Mona Bhatia, Partha Choudhury, Vijay Sai Chowdekar, Aparna Irodi, Shashank Jain, Elizabeth Joseph, Sukriti Kumar, Prof Dr Girijanandan Mahapatra, Deepanjan Mitra, Bhagwant Rai Mittal, Ahmad Ozair, Chetan Patel, Tapan Patel, Ravi Patel, Shivani Patel, Sudhir Saxena, Shantanu Sengupta, Santosh Singh, Bhanupriya Singh, Ashwani Sood, Atul Verma, Erwin Affandi, Padma Savenadia Alam, Edison Edison, Gani Gunawan, Habusari Hapkido, Basuki Hidayat, Aulia Huda, Anggoro Praja Mukti, Djoko Prawiro, Erwin Affandi Soeriadi, Hilman Syawaluddin, Amjed Albadr, Majid Assadi, Farshad Emami, Golnaz Houshmand, Majid Maleki, Maryam Tajik Rostami, Seyed Rasoul Zakavi, Eed Abu Zaid, Svetlana Agranovich, Yoav Arnson, Rachel Bar-Shalom, Alex Frenkel, Galit Knafo, Rachel Lugassi, Israel Shlomo Maor Moalem, Maya Mor, Noam Muskal, Sara Ranser, Aryeh Shalev, Domenico Albano, Pierpaolo Alongi, Gaspare Arnone, Elisa Bagatin, Sergio Baldari, Matteo Bauckneht, Paolo Bertelli, Francesco Bianco, Rachele Bonfiglioli, Roberto Boni, Andrea Bruno, Isabella Bruno, Elena Busnardo, Elena Califaretti, Luca Camoni, Aldo Carnevale, Roberta Casoni, Armando Ugo Cavallo, Giorgio Cavenaghi, Franca Chierichetti, Marcello Chiocchi, Corrado Cittanti, Mauro Colletta, Umberto Conti, Alberto Cossu, Alberto Cuocolo, Marco Cuzzocrea, Maria Luisa De Rimini, Giuseppe De Vincentis, Eleonora Del Giudice, Alberico Del Torto, Veronica Della Tommasina, Rexhep Durmo, Paola Anna Erba, Laura Evangelista, Riccardo Faletti, Evelina Faragasso, Mohsen Farsad, Paola Ferro, Luigia Florimonte, Viviana Frantellizzi, Fabio Massimo Fringuelli, Marco Gatti, Angela Gaudiano, Alessia Gimelli, Raffaele Giubbini, Francesca Giuffrida, Salvatore Ialuna, Riccardo Laudicella, Lucia Leccisotti, Lucia Leva, Riccardo Liga, Carlo Liguori, Giampiero Longo, Margherita Maffione, Maria Elisabetta Mancini, Claudio Marcassa, Elisa Milan, Barbara Nardi, Sara Pacella, Giovanna Pepe, Gianluca Pontone, Sabina Pulizzi, Natale Quartuccio, Lucia Rampin, Fabrizio Ricci, Pierluigi Rossini, Giuseppe Rubini, Vincenzo Russo, Gian Mauro Sacchetti, Gianmario Sambuceti, Massimo Scarano, Roberto Sciagrà, Massimiliano Sperandio, Antonella Stefanelli, Guido Ventroni, Stefania Zoboli, Dainia Baugh, Duane Chambers, Ernest Madu, Felix Nunura, Hiroshi Asano, Chimura Misato Chimura, Shinichiro Fujimoto, Koichiro Fujisue, Tomohisa Fukunaga, Yoshimitsu Fukushima, Kae Fukuyama, Jun Hashimoto, Yasutaka Ichikawa, Nobuo Iguchi, Masamichi Imai, Anri Inaki, Hayato Ishimura, Satoshi Isobe, Toshiaki Kadokami, Takao Kato, Takashi Kudo, Shinichiro Kumita, Hirotaka Maruno, Hiroyuki Mataki, Masao Miyagawa, Ryota Morimoto, Masao Moroi, Shigeki Nagamachi, Kenichi Nakajima, Tomoaki Nakata, Ryo Nakazato, Mamoru Nanasato, Masanao Naya, Takashi Norikane, Yasutoshi Ohta, Satoshi Okayama, Atsutaka Okizaki, Yoichi Otomi, Hideki Otsuka, Masaki Saito, Sakata Yasushi Sakata, Masayoshi Sarai, Daisuke Sato, Shinya Shiraishi, Yoshinobu Suwa, Kentaro Takanami, Kazuya Takehana, Junichi Taki, Nagara Tamaki, Yasuyo Taniguchi, Hiroki Teragawa, Nobuo Tomizawa, Kenichi Tsujita, Kyoko Umeji, Yasushi Wakabayashi, Shinichiro Yamada, Shinya Yamazaki, Tatsuya Yoneyama, Mohammad Rawashdeh, Daultai Batyrkhanov, Tairkhan Dautov, Khalid Makhdomi, Kevin Ombati, Faridah Alkandari, Masoud Garashi, Tchoyoson Lim Coie, Sonexay Rajvong, Artem Kalinin, Marika Kalnina, Mohamad Haidar, Renata Komiagiene, Giedre Kviecinskiene, Mindaugas Mataciunas, Donatas Vajauskas, Christian Picard, Noor Khairiah A. Karim, Luise Reichmuth, Anthony Samuel, Mohammad Aaftaab Allarakha, Ambedhkar Shantaram Naojee, Erick Alexanderson-Rosas, Erika Barragan, Alejandro Becerril González-Montecinos, Manuel Cabada, Daniel Calderon Rodriguez, Isabel Carvajal-Juarez, Violeta Cortés, Filiberto Cortés, Erasmo De La Peña, Manlio Gama-Moreno, Luis González, Nelsy Gonzalez Ramírez, Moisés Jiménez-Santos, Luis Matos, Edgar Monroy, Martha Morelos, Mario Ornelas, Jose Alberto Ortga Ramirez, Andrés Preciado-Anaya, Óscar Ulises Preciado-Gutiérrez, Adriana Puente Barragan, Sandra Graciela Rosales Uvera, Sigelinda Sandoval, Miguel Santaularia Tomas, Lilia M. Sierra-Galan, Silvia Siu, Enrique Vallejo, Mario Valles, Marc Faraggi, Erdenechimeg Sereegotov, Srdja Ilic, Nozha Ben-Rais, Nadia Ismaili Alaoui, Sara Taleb, Khin Pa Pa Myo, Phyo Si Thu, Ram Kumar Ghimire, Bijoy Rajbanshi, Peter Barneveld, Andor Glaudemans, Jesse Habets, Klaas Pieter Koopmans, Jeroen Manders, Stefan Pool, Arthur Scholte, Asbjørn Scholtens, Riemer Slart, Paul Thimister, Erik-Jan Van Asperen, Niels Veltman, Derk Verschure, Nils Wagenaar, John Edmond, Chris Ellis, Kerryanne Johnson, Ross Keenan, Shaw Hua (Anthony) Kueh, Christopher Occleshaw, Alexander Sasse, Andrew To, Niels Van Pelt, Calum Young, Teresa Cuadra, Hector Bladimir Roque Vanegas, Idrissa Adamou Soli, Djibrillou Moussa Issoufou, Tolulope Ayodele, Chibuzo Madu, Yetunde Onimode, Elen Efros-Monsen, Signe Helene Forsdahl, Jenni-Mari Hildre Dimmen, Arve Jørgensen, Isabel Krohn, Pål Løvhaugen, Anders Tjellaug Bråten, Humoud Al Dhuhli, Faiza Al Kindi, Naeema Al-Bulushi, Zabah Jawa, Naima Tag, Muhammad Shehzad Afzal, Shazia Fatima, Muhammad Numair Younis, Musab Riaz, Mohammad Saadullah, Yariela Herrera, Dora Lenturut-Katal, Manuel Castillo Vázquez, José Ortellado, Afroza Akhter, Dianbo Cao, Stephen Cheung, Xu Dai, Lianggeng Gong, Dan Han, Yang Hou, Caiying Li, Tao Li, Dong Li, Sijin Li, Jinkang Liu, Hui Liu, Bin Lu, Ming Yen Ng, Kai Sun, Gongshun Tang, Jian Wang, Ximing Wang, Zhao-Qian Wang, Yining Wang, Yifan Wang, Jiang Wu, Zhifang Wu, Liming Xia, Jiangxi Xiao, Lei Xu, Youyou Yang, Wu Yin, Jianqun Yu, Li Yuan, Tong Zhang, Longjiang Zhang, Yong-Gao Zhang, Xiaoli Zhang, Li Zhu, Ana Alfaro, Paz Abrihan, Asela Barroso, Eric Cruz, Marie Rhiamar Gomez, Vincent Peter Magboo, John Michael Medina, Jerry Obaldo, Davidson Pastrana, Christian Michael Pawhay, Alvin Quinon, Jeanelle Margareth Tang, Bettina Tecson, Kristine Joy Uson, Mila Uy, Magdalena Kostkiewicz, Jolanta Kunikowska, Nuno Bettencourt, Guilhermina Cantinho, Antonio Ferreira, Ghulam Syed, Samer Arnous, Said Atyani, Angela Byrne, Tadhg Gleeson, David Kerins, Conor Meehan, David Murphy, Mark Murphy, John Murray, Julie O'Brien, Ji-In Bang, Henry Bom, Sang-Geon Cho, Chae Moon Hong, Su Jin Jang, Yong Hyu Jeong, Won Jun Kang, Ji-Young Kim, Jaetae Lee, Chang Kyeong Namgung, Young So, Kyoung Sook Won, Venjamin Majstorov, Marija Vavlukis, Barbara Gužic Salobir, Monika Štalc, Theodora Benedek, Imre Benedek, Raluca Mititelu, Claudiu Adrian Stan, Alexey Ansheles, Olga Dariy, Olga Drozdova, Nina Gagarina, Vsevolod Milyevich Gulyaev, Irina Itskovich, Anatoly Karalkin, Alexander Kokov, Ekaterina Migunova, Viktor Pospelov, Daria Ryzhkova, Guzaliya Saifullina, Svetlana Sazonova, Vladimir Sergienko, Irina Shurupova, Tatjana Trifonova, Wladimir Yurievich Ussov, Margarita Vakhromeeva, Nailya Valiullina, Konstantin Zavadovsky, Kirill Zhuravlev, Mirvat Alasnag, Subhani Okarvi, Dragana Sobic Saranovic, Felix Keng, Jia Hao Jason See, Ramkumar Sekar, Min Sen Yew, Andrej Vondrak, Shereen Bejai, George Bennie, Ria Bester, Gerrit Engelbrecht, Osayande Evbuomwan, Harlem Gongxeka, Magritha Jv Vuuren, Mitchell Kaplan, Purbhoo Khushica, Hoosen Lakhi, Lizette Louw, Nico Malan, Katarina Milos, Moshe Modiselle, Stuart More, Mathava Naidoo, Leonie Scholtz, Mboyo Vangu, Santiago Aguadé-Bruix, Isabel Blanco, Antonio Cabrera, Alicia Camarero, Irene Casáns-Tormo, Hug Cuellar-Calabria, Albert Flotats, Maria Eugenia Fuentes Cañamero, María Elia García, Amelia Jimenez-Heffernan, Rubén Leta, Javier Lopez Diaz, Luis Lumbreras, Juan Javier Marquez-Cabeza, Francisco Martin, Anxo Martinez de Alegria, Francisco Medina, Maria Pedrera Canal, Virginia Peiro, Virginia Pubul-Nuñez, Juan Ignacio Rayo Madrid, Cristina Rodríguez Rey, Ricardo Ruano Perez, Joaquín Ruiz, Gertrudis Sabatel Hernández, Ana Sevilla, Nahla Zeidán, Damayanthi Nanayakkara, Chandraguptha Udugama, Magnus Simonsson, Hatem Alkadhi, Ronny Ralf Buechel, Peter Burger, Luca Ceriani, Bart De Boeck, Christoph Gräni, Alix Juillet de Saint Lager Lucas, Christel H. Kamani, Nadine Kawel-Boehm, Robert Manka, John O. Prior, Axel Rominger, Jean-Paul Vallée, Benjapa Khiewvan, Teerapon Premprabha, Tanyaluck Thientunyakit, Ali Sellem, Kemal Metin Kir, Haluk Sayman, Mugisha Julius Sebikali, Zerida Muyinda, Yaroslav Kmetyuk, Pavlo Korol, Olena Mykhalchenko, Volodymyr Pliatsek, Maryna Satyr, Batool Albalooshi, Mohamed Ismail Ahmed Hassan, Jill Anderson, Punit Bedi, Thomas Biggans, Anda Bularga, Russell Bull, Rajesh Burgul, John-Paul Carpenter, Duncan Coles, David Cusack, Aparna Deshpande, John Dougan, Timothy Fairbairn, Alexia Farrugia, Deepa Gopalan, Alistair Gummow, Prasad Guntur Ramkumar, Mark Hamilton, Mark Harbinson, Thomas Hartley, Benjamin Hudson, Nikhil Joshi, Michael Kay, Andrew Kelion, Azhar Khokhar, Jamie Kitt, Ken Lee, Chen Low, Sze Mun Mak, Ntouskou Marousa, Jon Martin, Elisa Mcalindon, Leon Menezes, Gareth Morgan-Hughes, Alastair Moss, Anthony Murray, Edward Nicol, Dilip Patel, Charles Peebles, Francesca Pugliese, Jonathan Carl Luis Rodrigues, Christopher Rofe, Nikant Sabharwal, Rebecca Schofield, Thomas Semple, Naveen Sharma, Peter Strouhal, Deepak Subedi, William Topping, Katharine Tweed, Jonathan Weir-Mccall, Suhny Abbara, Taimur Abbasi, Brian Abbott, Shady Abohashem, Sandra Abramson, Tarek Al-Abboud, Mouaz Al-Mallah, Omar Almousalli, Karthikeyan Ananthasubramaniam, Mohan Ashok Kumar, Jeffrey Askew, Lea Attanasio, Mallory Balmer-Swain, Richard R. Bayer, Adam Bernheim, Sabha Bhatti, Erik Bieging, Ron Blankstein, Stephen Bloom, Sean Blue, David Bluemke, Andressa Borges, Kelley Branch, Paco Bravo, Jessica Brothers, Matthew Budoff, Renée Bullock-Palmer, Angela Burandt, Floyd W. Burke, Kelvin Bush, Candace Candela, Elizabeth Capasso, Joao Cavalcante, Donald Chang, Saurav Chatterjee, Yiannis Chatzizisis, Michael Cheezum, Tiffany Chen, Jennifer Chen, Marcus Chen, James Clarcq, Ayreen Cordero, Matthew Crim, Sorin Danciu, Bruce Decter, Nimish Dhruva, Neil Doherty, Rami Doukky, Anjori Dunbar, William Duvall, Rachael Edwards, Kerry Esquitin, Husam Farah, Emilio Fentanes, Maros Ferencik, Daniel Fisher, Daniel Fitzpatrick, Cameron Foster, Tony Fuisz, Michael Gannon, Lori Gastner, Myron Gerson, Brian Ghoshhajra, Alan Goldberg, Brian Goldner, Jorge Gonzalez, Rosco Gore, Sandra Gracia-López, Fadi Hage, Agha Haider, Sofia Haider, Yasmin Hamirani, Karen Hassen, Mallory Hatfield, Carolyn Hawkins, Katie Hawthorne, Nicholas Heath, Robert Hendel, Phillip Hernandez, Gregory Hill, Stephen Horgan, Jeff Huffman, Lynne Hurwitz, Ami Iskandrian, Rajesh Janardhanan, Christine Jellis, Scott Jerome, Dinesh Kalra, Summanther Kaviratne, Fernando Kay, Faith Kelly, Omar Khalique, Mona Kinkhabwala, George Kinzfogl Iii, Jacqueline Kircher, Rachael Kirkbride, Michael Kontos, Anupama Kottam, Joseph Krepp, Jay Layer, Steven H. Lee, Jeffrey Leppo, John Lesser, Steve Leung, Howard Lewin, Diana Litmanovich, Yiyan Liu, Kathleen Magurany, Jeremy Markowitz, Amanda Marn, Stephen E. Matis, Michael Mckenna, Tony Mcrae, Fernando Mendoza, Michael Merhige, David Min, Chanan Moffitt, Karen Moncher, Warren Moore, Shamil Morayati, Michael Morris, Mahmud Mossa-Basha, Zorana Mrsic, Venkatesh Murthy, Prashant Nagpal, Kyle Napier, Katarina Nelson, Prabhjot Nijjar, Medhat Osman, Edward Passen, Amit Patel, Pravin Patil, Ryan Paul, Lawrence Phillips, Venkateshwar Polsani, Rajaram Poludasu, Brian Pomerantz, Thomas Porter, Ryan Prentice, Amit Pursnani, Mark Rabbat, Suresh Ramamurti, Florence Rich, Hiram Rivera Luna, Austin Robinson, Kim Robles, Cesar Rodríguez, Mark Rorie, John Rumberger, Raymond Russell, Philip Sabra, Diego Sadler, Mary Schemmer, U. Joseph Schoepf, Samir Shah, Nishant Shah, Sujata Shanbhag, Gaurav Sharma, Steven Shayani, Jamshid Shirani, Pushpa Shivaram, Steven Sigman, Mitch Simon, Ahmad Slim, David Smith, Alexandra Smith, Prem Soman, Aditya Sood, Monvadi Barbara Srichai-Parsia, James Streeter, Albert T, Ahmed Tawakol, Dustin Thomas, Randall Thompson, Tara Torbet, Desiree Trinidad, Shawn Ullery, Samuel Unzek, Seth Uretsky, Srikanth Vallurupalli, Vikas Verma, Alfonso Waller, Ellen Wang, Parker Ward, Gaby Weissman, George Wesbey, Kelly White, David Winchester, David Wolinsky, Sandra Yost, Michael Zgaljardic, Omar Alonso, Mario Beretta, Rodolfo Ferrando, Miguel Kapitan, Fernando Mut, Omoa Djuraev, Gulnora Rozikhodjaeva, Ha Le Ngoc, Son Hong Mai, and Xuan Canh Nguyen
Subjects: cardiac testing, cardiovascular disease, coronavirus, COVID-19, global health, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: Background: The coronavirus disease-2019 (COVID-19) pandemic significantly affected management of cardiovascular disease around the world. The effect of the pandemic on volume of cardiovascular diagnostic procedures is not known. Objectives: This study sought to evaluate the effects of the early phase of the COVID-19 pandemic on cardiovascular diagnostic procedures and safety practices in Asia. Methods: The International Atomic Energy Agency conducted a worldwide survey to assess changes in cardiovascular procedure volume and safety practices caused by COVID-19. Testing volumes were reported for March 2020 and April 2020 and were compared to those from March 2019. Data from 180 centers across 33 Asian countries were grouped into 4 subregions for comparison. Results: Procedure volumes decreased by 47% from March 2019 to March 2020, showing recovery from March 2020 to April 2020 in Eastern Asia, particularly in China. The majority of centers cancelled outpatient activities and increased time per study. Practice changes included implementing physical distancing and restricting visitors. Although COVID testing was not commonly performed, it was conducted in one-third of facilities in Eastern Asia. The most severe reductions in procedure volumes were observed in lower-income countries, where volumes decreased 81% from March 2019 to April 2020. Conclusions: The COVID-19 pandemic in Asia caused significant reductions in cardiovascular diagnostic procedures, particularly in low-income countries. Further studies on effects of COVID-19 on cardiovascular outcomes and changes in care delivery are warranted.
Published: 2021
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11. ACR Appropriateness Criteria® Right Upper Quadrant Pain: 2022 Update

Author: Gregory K. Russo, Atif Zaheer, Ihab R. Kamel, Kristin K. Porter, Krystal Archer-Arroyo, Mustafa R. Bashir, Brooks D. Cash, Alice Fung, Marion McCrary, Brendan M. McGuire, Richard D. Shih, John Stowers, Kiran H. Thakrar, Abhinav Vij, Shaun A. Wahab, Katherine Zukotynski, and Laura R. Carucci
Subjects: Radiology, Nuclear Medicine and imaging
Published: 2023

12. Utilization of Salvage and Systemic Therapies for Recurrent Prostate Cancer as a Result of 18F-DCFPyL PET/CT Restaging

Author: Wei Liu, MD, Katherine Zukotynski, MD, PhD, FRCPC, Louise Emmett, MD, FRACP, Hans T. Chung, MD, FRCPC, Peter Chung, MD, FRCPC, Robert Wolfson, MD, FRCPC, Irina Rachinsky, MD, MSc, FRCPC, Anil Kapoor, MD, FRCSC, Ur Metser, MD, FRCPC, Andrew Loblaw, MD, MSc, FRCPC, Gerard Morton, MB, FRCPC, Tracy Sexton, MD, PhD, FRCPC, Michael Lock, MD, FRCPC, Joelle Helou, MD, MSc, Alejandro Berlin, MD, MSc, Colm Boylan, MB, FRCPC, Susan Archer, BSc, Gregory R. Pond, PhD, PStat, and Glenn Bauman, MD, FRCPC
Subjects: Medical physics. Medical radiology. Nuclear medicine, R895-920, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Purpose: Our purpose was to investigate the effect of the addition of prostate-specific membrane antigen (PSMA)-targeted positron emission tomography/computed tomography (PET/CT) in patients with recurrent prostate cancer post-primary radiation therapy. Methods and Materials: A prospective, multi-institutional clinical trial evaluated 2-(3-{1-carboxy-5-[(6-[18F]fluoro-pyridine-3-carbonyl)-amino]-pentyl}-ureido)-pentanedioic acid (18F-DCFPyL) PET/CT restaging in 79 men with recurrent prostate cancer post-primary radiation therapy. We report actual patient management and compare this with proposed management both before and after PSMA-targeted PET/CT. Results: Most patients (59%) had a major change in actual management compared with pre-PET/CT proposed management. The rate of major change was underestimated by immediately post-PET/CT surveys (32%). Eighteen patients with PSMA avidity in the prostate gland suspicious for malignancy had a prostate biopsy. Sensitivity, specificity, and positive predictive values of PSMA uptake in the prostate were 86%, 67%, and 92%, respectively. Thirty percent of patients had directed salvage therapy and 41% underwent systemic therapy. Eleven out of 79 patients (14%) had high-dose-rate brachytherapy alone for local recurrence, and 91% were free of recurrence at a median follow-up of 20 months. Conclusions: Most patients had a major change in actual management compared with pre–PSMA-targeted PET/CT planned management, and this was underestimated by post-PET/CT questionnaires.
Published: 2021
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13. Intra-individual comparison of 18F-sodium fluoride PET–CT and 99mTc bone scintigraphy with SPECT in patients with prostate cancer or breast cancer at high risk for skeletal metastases (MITNEC-A1): a multicentre, phase 3 trial

Author: François Bénard, Sara Harsini, Don Wilson, Katherine Zukotynski, Gad Abikhzer, Eric Turcotte, Mariève Cossette, Ur Metser, Jonathan Romsa, Montgomery Martin, Colin Mar, Fred Saad, Jean-Paul Soucy, Bernhard J Eigl, Peter Black, Andra Krauze, Steven Burrell, Alan Nichol, and Jean-Claude Tardif
Subjects: Oncology
Published: 2022

14. CCCDTD5: Clinical role of neuroimaging and liquid biomarkers in patients with cognitive impairment

Author: Mélanie Brisson, Catherine Brodeur, Laurent Létourneau‐Guillon, Mario Masellis, Jon Stoessl, Alex Tamm, Katherine Zukotynski, Zahinoor Ismail, Serge Gauthier, Pedro Rosa‐Neto, and Jean‐Paul Soucy
Subjects: Neurology. Diseases of the nervous system, RC346-429, Geriatrics, RC952-954.6
Abstract: Abstract Since 1989, four Canadian Consensus Conferences on the Diagnosis and Treatment of Dementia (CCCDTDs) have provided evidence‐based dementia diagnostic and treatment guidelines for Canadian clinicians and researchers. We present the results from the Neuroimaging and Fluid Biomarkers Group of the 5th CCCDTD (CCCDTD5), which addressed topics chosen by the steering committee to reflect advances in the field and build on our previous guidelines. Recommendations on Imaging and Fluid Biomarker Use from this Conference cover a series of different fields. Prior structural imaging recommendations for both computerized tomography (CT) and magnetic resonance imaging (MRI) remain largely unchanged, but MRI is now more central to the evaluation than before, with suggested sequences described here. The use of visual rating scales for both atrophy and white matter anomalies is now included in our recommendations. Molecular imaging with [18F]‐fluorodeoxyglucose ([18F]‐FDG) Positron Emisson Tomography (PET) or [99mTc]‐hexamethylpropyleneamine oxime/ethylene cysteinate dimer ([99mTc]‐HMPAO/ECD) Single Photon Emission Tomography (SPECT), should now decidedly favor PET. The value of [18F]‐FDG PET in the assessment of neurodegenerative conditions has been established with greater certainty since the previous conference, and it has now been recognized as a useful biomarker to establish the presence of neurodegeneration by a number of professional organizations around the world. Furthermore, the role of amyloid PET has been clarified and our recommendations follow those from other groups in multiple countries. SPECT with [123I]‐ioflupane (DaTscanTM) is now included as a useful study in differentiating Alzheimer's disease (AD) from Lewy body disease. Finally, liquid biomarkers are in a rapid phase of development and, could lead to a revolution in the assessment AD and other neurodegenerative conditions at a reasonable cost. We hope these guidelines will be useful for clinicians, researchers, policy makers, and the lay public, to inform a current and evidence‐based approach to the use of neuroimaging and liquid biomarkers in clinical dementia evaluation and management.
Published: 2020
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15. ACR Appropriateness Criteria® Right Lower Quadrant Pain: 2022 Update

Author: Avinash R. Kambadakone, Cynthia S. Santillan, David H. Kim, Kathryn J. Fowler, James H. Birkholz, Marc A. Camacho, Brooks D. Cash, Bari Dane, Robin A. Felker, Eric J. Grossman, Elena K. Korngold, Peter S. Liu, Daniele Marin, Marion McCrary, Jason A. Pietryga, Stefanie Weinstein, Katherine Zukotynski, and Laura R. Carucci
Subjects: Radiology, Nuclear Medicine and imaging
Published: 2022

16. Vascular burden and cognition: Mediating roles of neurodegeneration and amyloid PET

Author: Julie, Ottoy, Miracle, Ozzoude, Katherine, Zukotynski, Sabrina, Adamo, Christopher, Scott, Vincent, Gaudet, Joel, Ramirez, Walter, Swardfager, Hugo, Cogo-Moreira, Benjamin, Lam, Aparna, Bhan, Parisa, Mojiri, Min Su, Kang, Jennifer S, Rabin, Alex, Kiss, Stephen, Strother, Christian, Bocti, Michael, Borrie, Howard, Chertkow, Richard, Frayne, Robin, Hsiung, Robert Jr, Laforce, Michael D, Noseworthy, Frank S, Prato, Demetrios J, Sahlas, Eric E, Smith, Phillip H, Kuo, Vesna, Sossi, Alexander, Thiel, Jean-Paul, Soucy, Jean-Claude, Tardif, Sandra E, Black, and Maged, Goubran
Subjects: Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, mental disorders, Neurology (clinical), Geriatrics and Gerontology
Abstract: INTRODUCTIONIt remains unclear to which extent vascular burden promotes neurodegeneration and cognitive dysfunction in a cohort spanning low-to-severe small vessel disease (SVD) and amyloid-beta pathology.METHODSIn 120 subjects, we investigated 1) whether vascular burden, quantified as total or lobar white matter hyperintensity (WMH) volumes, is associated with different cognitive domains; and 2) whether the total WMH effect on cognition is mediated by amyloid (18F-AV45-PET), glucose metabolism (18F-FDG-PET), and/or cortical atrophy.RESULTSIncreased total WMH volume was associated with poorer performance in all cognitive domains tested, with the strongest effects observed for semantic fluency. These relationships were mediated mainly through cortical atrophy, particularly in the temporal lobe, and to a lesser extent through amyloid and metabolism. WMH volumes differentially impacted cognition depending on lobar location and amyloid status.DISCUSSIONOur study suggests mainly an amyloid-independent pathway in which vascular burden affects cognitive impairment through temporal lobe atrophy.
Published: 2022

17. Diagnostic Performance and Safety of 18 F-rhPSMA-7.3 Positron Emission Tomography in Men With Suspected Prostate Cancer Recurrence: Results From a Phase 3, Prospective, Multicenter Study (SPOTLIGHT)

Author: Ashesh B. Jani, Gregory C. Ravizzini, Benjamin A. Gartrell, Barry A. Siegel, Przemyslaw Twardowski, Daniel Saltzstein, Mark T. Fleming, Albert Chau, Phillip Davis, Brian F. Chapin, David M. Schuster, Mohamad Allaf, Ryan J. Avery, Norbert Avril, Helen Barker, Laurence Belkoff, Peter Bostrom, Michael L. Cher, Diane Chisholm, Matthew F. Covington, Ian Cox, Giuseppe Esposito, Peter Gardiner, David Gauden, Brian Helfand, Rick Hermsen, David Josephson, Matthew Kay, Bridget F. Koontz, Lale Kostakoglu, Phillip Kuo, William Lavely, Ing Han Liem, Mary Lokuta, Benjamin Lowentritt, Jeff Michalski, Matthew P. Miller, Karen Mourtzikos, Russell Pachynski, Ross Penny, Morand Piert, Andrei Purysko, Soroush Rais-Bahrami, Bital Savir-Baruch, Rik Somford, Ashutosh Tewari, Edward Uchio, Don Yoo, and Katherine Zukotynski
Subjects: Urology
Published: 2023

18. SPECT and SPECT/CT: A Clinical Guide

Author: Chun Kim, Katherine Zukotynski
Published: 2017

19. Effect of 18F-DCFPyL PET/CT on the Management of Patients with Recurrent Prostate Cancer: Results of a Prospective Multicenter Registry Trial

Author: Ur Metser, Katherine Zukotynski, Victor Mak, Deanna Langer, Pamela MacCrostie, Antonio Finelli, Anil Kapoor, Joseph Chin, Luke Lavallée, Laurence H. Klotz, Marlon Hagerty, Catherine Hildebrand, and Glenn Bauman
Subjects: Radiology, Nuclear Medicine and imaging
Published: 2022

20. Evidence-Based Artificial Intelligence in Medical Imaging

Author: Katherine Zukotynski, David L. Streiner, and Babak Saboury
Subjects: Radiation, Evidence-based practice, business.industry, Sample (statistics), General Medicine, Health data, Radiography, Software, Artificial Intelligence, Medical imaging, Humans, Medicine, Radiology, Nuclear Medicine and imaging, Artificial intelligence, business
Abstract: Artificial intelligence (AI) in medical imaging is in its infancy. However, ongoing advances in hardware and software as well as increasing access to ever-expanding datasets for training, validation, and testing purposes are likely to make AI an increasingly prevalent and powerful tool. Of course issues, such as the need to protect the privacy of sensitive health data, remain; nevertheless, it is likely the average imager will need to develop an evidence-based approach to assessing AI in medical imaging. We hope this article will provide insight into just how this can be conducted by applying 5 simple questions, specifically: (1) Who was in the training sample, (2) How was the model trained, (3) How reliable is the algorithm, (4) How was the model validated, and (5) How useable is the algorithm.
Published: 2022

21. Defining radio-recurrent intra-prostatic target volumes using PSMA-targeted PET/CT and multi-parametric MRI

Author: Peter Chung, Aaron D. Ward, Louise Emmett, Andrew Loblaw, Hatim Fakir, Anil Kapoor, Ryan Alfano, Irina Rachinsky, Gerard Morton, Hans T. Chung, Gurpreet Randhawa, Katherine Zukotynski, Glenn Bauman, Zahra Kassam, Mark Corkum, Wei Liu, and Tracy Sexton
Subjects: medicine.medical_treatment, R895-920, Salvage therapy, Standardized uptake value, urologic and male genital diseases, Article, Medical physics. Medical radiology. Nuclear medicine, Prostate cancer, Prostate, Biopsy, medicine, Radiology, Nuclear Medicine and imaging, RC254-282, PET-CT, medicine.diagnostic_test, business.industry, Radio-recurrence, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Cancer, medicine.disease, Radiation therapy, medicine.anatomical_structure, Oncology, PSMA PET/CT, business, Nuclear medicine, MRI
Abstract: Highlights • MRI and PSMA PET are complementary for delineating local recurrence after primary RT. • The union of CTVs on MRI and PSMA PET included, Purpose Our purpose was to evaluate intra-prostatic cancer volumes for salvage radiotherapy in men with recurrent prostate cancer confined to the prostate post-primary radiotherapy using mpMRI and 18F-DCFPyL PET/CT (PET). Methods Men with biochemical failure post-primary radiotherapy were enrolled in a multi-centre trial investigating mpMRI and PET. All men with isolated intra-prostatic recurrence are included in this secondary analysis. The intra-prostatic gross tumour volume (GTV) was manually delineated on mpMRI and was also delineated on PET using three methods: 1. manually, 2. using a 30% threshold of maximum intra-prostatic standard uptake value (SUVmax), and 3. using a 67% threshold of this SUVmax. Clinical target volumes (CTV) including expansions on each GTV were generated. Conformity indices were performed between the mpMRI CTV and each PET CTV. Correlation with biopsy and clinical outcomes were performed. Results Of the 36 men included, 30 (83%) had disease in two quadrants or less using the combination of mpMRI and PET. Mean target volume (union of CTV on mpMRI and CTV manually delineated on PET) was 12.2 cc (49% of prostate gland volume). 12/36 (33%) men had a biopsy. Per-patient sensitivity was 91% for mpMRI and 82% for PET. Conclusions mpMRI and PET provide complementary information for delineation of intra-prostatic recurrent disease. Union of CTV on mpMRI and PET is often less than 50% of the prostate, suggesting this imaging could help define a target for focal salvage therapy.
Published: 2022

22. The Global Reading Room: Performing a Gastric Emptying Study

Author: Pradeep Bhambhvani, Andrew Scarsbrook, Hans Van der Wall, and Katherine Zukotynski
Subjects: Radiology, Nuclear Medicine and imaging, General Medicine
Published: 2023

23. Role of Artificial Intelligence in Theranostics

Author: Katherine Zukotynski, Babak Saboury, Carlos Uribe, Arman Rahmim, Fereshteh Yousefirizi, Julia Brosch-Lenz, Jean-Mathieu Beauregard, and Vincent Gaudet
Subjects: Radiation, Quantitative imaging, business.industry, General Medicine, 3. Good health, 030218 nuclear medicine & medical imaging, Personalization, 03 medical and health sciences, 0302 clinical medicine, 030220 oncology & carcinogenesis, Medicine, Radiology, Nuclear Medicine and imaging, Artificial intelligence, business, Outcome prediction
Abstract: We highlight emerging uses of artificial intelligence (AI) in the field of theranostics, focusing on its significant potential to enable routine and reliable personalization of radiopharmaceutical therapies (RPTs). Personalized RPTs require patient-specific dosimetry calculations accompanying therapy. Additionally we discuss the potential to exploit biological information from diagnostic and therapeutic molecular images to derive biomarkers for absorbed dose and outcome prediction; toward personalization of therapies. We try to motivate the nuclear medicine community to expand and align efforts into making routine and reliable personalization of RPTs a reality.
Published: 2021

24. Update on Molecular Imaging and Precision Medicine in Lung Cancer

Author: Olfat Kamel Hasan, Katherine Zukotynski, Victor H. Gerbaudo, and Matthew Lubanovic
Subjects: Oncology, medicine.medical_specialty, Lung Neoplasms, Response to therapy, Disease, Fluorodeoxyglucose F18, Positron Emission Tomography Computed Tomography, Internal medicine, Image Interpretation, Computer-Assisted, medicine, Humans, Radiology, Nuclear Medicine and imaging, Precision Medicine, Lung cancer, Neoplasm Staging, Cancer staging, Solitary pulmonary nodule, medicine.diagnostic_test, business.industry, General Medicine, medicine.disease, Precision medicine, Molecular Imaging, Positron emission tomography, Positron-Emission Tomography, Radiopharmaceuticals, Molecular imaging, business
Abstract: Precision medicine integrates molecular pathobiology, genetic make-up, and clinical manifestations of disease in order to classify patients into subgroups for the purposes of predicting treatment response and suggesting outcome. By identifying those patients who are most likely to benefit from a given therapy, interventions can be tailored to avoid the expense and toxicity of futile treatment. Ultimately, the goal is to offer the right treatment, to the right patient, at the right time. Lung cancer is a heterogeneous disease both functionally and morphologically. Further, over time, clonal proliferations of cells may evolve, becoming resistant to specific therapies. PET is a sensitive imaging technique with an important role in the precision medicine algorithm of lung cancer patients. It provides anatomo-functional insight during diagnosis, staging, and restaging of the disease. It is a prognostic biomarker in lung cancer patients that characterizes tumoral heterogeneity, helps predict early response to therapy, and may direct the selection of appropriate treatment.
Published: 2021

25. Management of Differentiated Thyroid Cancer: The Standard of Care

Author: Anca M. Avram, Helen Nadel, Luca Giovanella, and Katherine Zukotynski
Subjects: Oncology, medicine.medical_specialty, Standard of care, medicine.medical_treatment, Adenocarcinoma, Scintigraphy, Thyroglobulin, Iodine Radioisotopes, Internal medicine, medicine, Humans, Endocrine system, Radiology, Nuclear Medicine and imaging, Thyroid Neoplasms, Thyroid cancer, medicine.diagnostic_test, business.industry, Thyroid, Standard of Care, medicine.disease, medicine.anatomical_structure, Radionuclide therapy, Histopathology, Neoplasm Recurrence, Local, business
Abstract: In the past decade the management of differentiated thyroid cancer (DTC) underwent a paradigm shift towards the use of risk-stratification with the goal of maximizing benefit and minimizing morbidity of radioiodine (131I) therapy. 131I therapy is guided by information derived from surgical histopathology, molecular markers, postoperative diagnostic radioiodine scintigraphy and thyroglobulin (Tg) levels. 131I is used for diagnostic imaging and therapy of DTC based on physiologic sodium-iodine symporter expression in normal and neoplastic thyroid tissue. We summarize the essential information at the core of multidisciplinary DTC management, which emphasizes individualization of 131I therapy according to the patient's risk for tumor recurrence.
Published: 2021

26. Detecting lumbar lesions in 99m Tc‐MDP SPECT by deep learning: Comparison with physicians

Author: Neha Kwatra, S. Ted Treves, Yoann Petibon, Briana Sexton-Stallone, Georges El Fakhri, Frederic H. Fahey, Anthony Falone, Katherine Zukotynski, Jinsong Ouyang, Ruth P. Lim, Zvi Bar-Sever, Zakhar Levin, Yanis Chemli, and Xinhua Cao
Subjects: education.field_of_study, medicine.diagnostic_test, Receiver operating characteristic, business.industry, Deep learning, Population, General Medicine, Convolutional neural network, Low back pain, Confidence interval, Lumbar, medicine, Artificial intelligence, medicine.symptom, Nuclear medicine, business, education, Emission computed tomography
Abstract: Purpose 99m Tc-MDP single-photon emission computed tomography (SPECT) is an established tool for diagnosing lumbar stress, a common cause of low back pain (LBP) in pediatric patients. However, detection of small stress lesions is complicated by the low quality of SPECT, leading to significant interreader variability. The study objectives were to develop an approach based on a deep convolutional neural network (CNN) for detecting lumbar lesions in 99m Tc-MDP scans and to compare its performance to that of physicians in a localization receiver operating characteristic (LROC) study. Methods Sixty-five lesion-absent (LA) 99m Tc-MDP studies performed in pediatric patients for evaluating LBP were retrospectively identified. Projections for an artificial focal lesion were acquired separately by imaging a 99m Tc capillary tube at multiple distances from the collimator. An approach was developed to automatically insert lesions into LA scans to obtain realistic lesion-present (LP) 99m Tc-MDP images while ensuring knowledge of the ground truth. A deep CNN was trained using 2.5D views extracted in LP and LA 99m Tc-MDP image sets. During testing, the CNN was applied in a sliding-window fashion to compute a 3D "heatmap" reporting the probability of a lesion being present at each lumbar location. The algorithm was evaluated using cross-validation on a 99m Tc-MDP test dataset which was also studied by five physicians in a LROC study. LP images in the test set were obtained by incorporating lesions at sites selected by a physician based on clinical likelihood of injury in this population. Results The deep learning (DL) system slightly outperformed human observers, achieving an area under the LROC curve (AUCLROC ) of 0.830 (95% confidence interval [CI]: [0.758, 0.924]) compared with 0.785 (95% CI: [0.738, 0.830]) for physicians. The AUCLROC for the DL system was higher than that of two readers (difference in AUCLROC [ΔAUCLROC ] = 0.049 and 0.053) who participated to the study and slightly lower than that of two other readers (ΔAUCLROC = -0.006 and -0.012). Another reader outperformed DL by a more substantial margin (ΔAUCLROC = -0.053). Conclusion The DL system provides comparable or superior performance than physicians in localizing small 99m Tc-MDP positive lumbar lesions.
Published: 2021

27. Exploratory Assessment of K-means Clustering to Classify 18F-Flutemetamol Brain PET as Positive or Negative

Author: Sandra E. Black, Vincent Gaudet, Maria Carmela Tartaglia, Corinne E. Fischer, Neil Vasdev, Mario Masellis, Sanjeev Kumar, Sabrina Adamo, Katherine Zukotynski, Morris Freedman, Aparna Bhan, Benjamin Lam, Christopher J.M. Scott, Anthony E. Lang, Phillip H. Kuo, and David F. Tang-Wai
Subjects: Male, Amyloid, medicine.medical_specialty, Neurocognitive Disorders, Audiology, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Text mining, Image Processing, Computer-Assisted, Cluster Analysis, Humans, Medicine, Dementia, Radiology, Nuclear Medicine and imaging, Spectrum disorder, Benzothiazoles, Aged, Retrospective Studies, Aged, 80 and over, Aniline Compounds, business.industry, k-means clustering, Brain, General Medicine, Middle Aged, medicine.disease, Positron-Emission Tomography, 030220 oncology & carcinogenesis, Female, Observational study, Alzheimer's disease, CRITERION STANDARD, business, Neurocognitive
Abstract: Rationale We evaluated K-means clustering to classify amyloid brain PETs as positive or negative. Patients and methods Sixty-six participants (31 men, 35 women; age range, 52-81 years) were recruited through a multicenter observational study: 19 cognitively normal, 25 mild cognitive impairment, and 22 dementia (11 Alzheimer disease, 3 subcortical vascular cognitive impairment, and 8 Parkinson-Lewy Body spectrum disorder). As part of the neurocognitive and imaging evaluation, each participant had an 18F-flutemetamol (Vizamyl, GE Healthcare) brain PET. All studies were processed using Cortex ID software (General Electric Company, Boston, MA) to calculate SUV ratios in 19 regions of interest and clinically interpreted by 2 dual-certified radiologists/nuclear medicine physicians, using MIM software (MIM Software Inc, Cleveland, OH), blinded to the quantitative analysis, with final interpretation based on consensus. K-means clustering was retrospectively used to classify the studies from the quantitative data. Results Based on clinical interpretation, 46 brain PETs were negative and 20 were positive for amyloid deposition. Of 19 cognitively normal participants, 1 (5%) had a positive 18F-flutemetamol brain PET. Of 25 participants with mild cognitive impairment, 9 (36%) had a positive 18F-flutemetamol brain PET. Of 22 participants with dementia, 10 (45%) had a positive 18F-flutemetamol brain PET; 7 of 11 participants with Alzheimer disease (64%), 1 of 3 participants with vascular cognitive impairment (33%), and 2 of 8 participants with Parkinson-Lewy Body spectrum disorder (25%) had a positive 18F-flutemetamol brain PET. Using clinical interpretation as the criterion standard, K-means clustering (K = 2) gave sensitivity of 95%, specificity of 98%, and accuracy of 97%. Conclusions K-means clustering may be a powerful algorithm for classifying amyloid brain PET.
Published: 2021

28. Prospective, Single-Arm Trial Evaluating Changes in Uptake Patterns on Prostate-Specific Membrane Antigen–Targeted 18F-DCFPyL PET/CT in Patients with Castration-Resistant Prostate Cancer Starting Abiraterone or Enzalutamide

Author: Michael A. Gorin, Chun K. Kim, Matthew Lubanovic, Steve Y. Cho, Francois Benard, Kenneth J. Pienta, John Valliant, Mario A. Eisenberger, Katherine Zukotynski, Emmanuel S. Antonarakis, Martin G. Pomper, Amanda L. Blackford, Anil Kapoor, Steven P. Rowe, Urban Emmenegger, Sebastien J. Hotte, Mark C. Markowski, Jihyun Kim, and Wei Fu
Subjects: PET-CT, medicine.medical_specialty, medicine.diagnostic_test, business.industry, medicine.drug_class, Urology, Standardized uptake value, medicine.disease, Antiandrogen, Confidence interval, Clinical trial, Prostate cancer, chemistry.chemical_compound, chemistry, Positron emission tomography, medicine, Enzalutamide, Radiology, Nuclear Medicine and imaging, business
Abstract: Purpose: Positron emission tomography (PET) with small molecules targeting prostate-specific membrane antigen (PSMA) is being adopted as a clinical standard for prostate cancer (PCa) imaging. In this study, we evaluated changes in uptake on PSMA-targeted PET in men starting abiraterone or enzalutamide. Methods: This prospective, single-arm, two-center, exploratory clinical trial enrolled men with metastatic castration-resistant prostate cancer (CRPC) initiating abiraterone or enzalutamide. Each patient was imaged with 18F-DCFPyL at baseline and within 2-4 months after starting therapy. Patients were followed for up to 48 months from enrollment. A central review evaluated baseline and follow-up PET scans recording change in maximum standardized uptake value (SUVmax) at all disease sites and classifying the pattern of change. Two parameters: the delta percent SUVmax (DPSM) of all lesions and the delta absolute SUVmax (DASM) of all lesions were derived. Kaplan-Meier curves were used to estimate time to therapy change (TTTC) and overall survival (OS). Results: Sixteen evaluable patients were accrued to the study. Median TTTC was 9.6 months (95% confidence interval (CI), 6.9-14.2) and median OS was 28.6 months (95% CI 18.3-not available (N/A)). Patients with a mixed-but-predominantly-increased pattern of radiotracer uptake had shorter TTTC and OS. Men with low DPSM had median TTTC 12.2 months (95% CI 11.3-N/A) and median OS 37.2 months (95% CI 28.9-N/A), while those with high DPSM had median TTTC 6.5 months (95% CI 4.6-N/A, P = 0.0001) and median OS 17.8 months (95% CI 13.9-N/A, P = 0.02). Men with low DASM had median TTTC 12.2 months (95% CI 11.3-N/A) and median OS N/A (95% CI 37.2 months-N/A), while those with high DASM had median TTTC 6.9 months (95% CI 6.1-N/A, P = 0.003) and median OS 17.8 months (95% CI 13.9-N/A, P = 0.002). Conclusion: Findings on PSMA-targeted PET 2-4 months after initiation of abiraterone or enzalutamide are associated with TTTC and OS. Development of new lesions and/or increasing intensity of radiotracer uptake at sites of baseline disease are poor prognostic findings suggesting shorter TTTC and OS.
Published: 2021

29. International Impact of COVID-19 on the Diagnosis of Heart Disease

Author: Einstein, A. J., Shaw, L. J., Hirschfeld, C., Williams, M. C., Villines, T. C., Better, N., Vitola, J. V., Cerci, R., Dorbala, S., Raggi, P., Choi, A. D., Lu, B., Sinitsyn, V., Sergienko, V., Kudo, T., Norgaard, B. L., Maurovich-Horvat, P., Campisi, R., Milan, E., Louw, L., Allam, A. H., Bhatia, M., Malkovskiy, E., Goebel, B., Cohen, Y., Randazzo, M., Narula, J., Pascual, T. N. B., Pynda, Y., Dondi, M., Gerd Hinterleitner, Paez D., Yao, Lu, Olga, Morozova, Zhuoran, Xu, Juan, Lopez-Mattei, Purvi, Parwani, Mohammad Nawaz Nasery, Artan, Goda, Ervina, Shirka, Rabie, Benlabgaa, Salah, Bouyoucef, Abdelkader, Medjahedi, Qais, Nailli, Mariela, Agolti, Roberto Nicolas Aguero, Maria Del Carmen Alak, Lucia Graciela Alberguina, Guillermo, Arroñada, Andrea, Astesiano, Alfredo, Astesiano, Carolina Bas Norton, Pablo, Benteo, Juan, Blanco, Juan Manuel Bonelli, Jose Javier Bustos, Raul, Cabrejas, Jorge, Cachero, Alejandro, Canderoli, Silvia, Carames, Patrícia, Carrascosa, Ricardo, Castro, Oscar, Cendoya, Luciano Martin Cognigni, Carlos, Collaud, Claudia, Cortes, Javier, Courtis, Daniel, Cragnolino, Mariana, Daicz, Alejandro De La Vega, Silvia Teresa De Maria, Horacio Del Riego, Fernando, Dettori, Alejandro, Deviggiano, Laura, Dragonetti, Mario, Embon, Ruben Emilio Enriquez, Jorge, Ensinas, Fernando, Faccio, Adolfo, Facello, Diego, Garofalo, Ricardo, Geronazzo, Natalia, Gonza, Lucas, Gutierrez, Miguel Angel Guzzo, Victor, Hasbani, Melina, Huerin, Victor, Jäger, Julio Manuel Lewkowicz, Maria Nieves, A López De Munaín, Jose Maria Lotti, Alejandra, Marquez, Osvaldo, Masoli, Edgardo, Mastrovito, Matias, Mayoraz, Graciela Eva Melado, Anibal, Mele, Maria Fernanda Merani, Alejandro Horacio Meretta, Susana, Molteni, Marcos, Montecinos, Eduardo, Noguera, Carlos, Novoa, Claudio Pereyra Sueldo, Sebastian Perez Ascani, Pablo, Pollono, Maria Paula Pujol, Alejandro, Radzinschi, Gustavo, Raimondi, Marcela, Redruello, Marina, Rodríguez, Matías, Rodríguez, Romina Lorena Romero, Arturo Romero Acuña, Federico, Rovaletti, Lucas San Miguel, Lucrecia, Solari, Bruno, Strada, Sonia, Traverso, Sonia Simona Traverzo, Maria Del Huerto Velazquez Espeche, Juan Sebastian Weihmuller, Juan, Wolcan, Susana, Zeffiro, Mari, Sakanyan, Scott, Beuzeville, Raef, Boktor, Patrick, Butler, Jennifer, Calcott, Loretta, Carr, Virgil, Chan, Charles, Chao, Woon, Chong, Mark, Dobson, D'Arne, Downie, Girish, Dwivedi, Barry, Elison, Jean, Engela, Roslyn, Francis, Anand, Gaikwad, Ashok Gangasandra Basavaraj, Bruce, Goodwin, Robert, Greenough, Christian, Hamilton-Craig, Victar, Hsieh, Subodh, Joshi, Karin, Lederer, Kenneth, Lee, Joseph, Lee, John, Magnussen, Nghi, Mai, Gordon, Mander, Fiona, Murton, Dee, Nandurkar, Johanne, Neill, Edward, O'Rourke, Patricia, O'Sullivan, George, Pandos, Kunthi, Pathmaraj, Alexander, Pitman, Rohan, Poulter, Manuja, Premaratne, David, Prior, Lloyd, Ridley, Natalie, Rutherford, Hamid, Salehi, Connor, Saunders, Luke, Scarlett, Sujith, Seneviratne, Deepa, Shetty, Ganesh, Shrestha, Jonathan, Shulman, Vijay, Solanki, Tony, Stanton, Murch, Stuart, Michael, Stubbs, Ian, Swainson, Kim, Taubman, Andrew, Taylor, Paul, Thomas, Steven, Unger, Anthony, Upton, Shankar, Vamadevan, William Van Gaal, Johan, Verjans, Demetrius, Voutnis, Victor, Wayne, Peter, Wilson, David, Wong, Kirby, Wong, John, Younger, Gudrun, Feuchtner, Siroos, Mirzaei, Konrad, Weiss, Natallia, Maroz-Vadalazhskaya, Olivier, Gheysens, Filip, Homans, Rodrigo, Moreno-Reyes, Agnès, Pasquet, Veronique, Roelants, Caroline, M Van De Heyning, Raúl Araujo Ríos, Valentina, Soldat-Stankovic, Sinisa, Stankovic, Maria Helena Albernaz Siqueira, Augusto, Almeida, Paulo Henrique Alves Togni, Jose Henrique Andrade, Luciana, Andrade, Carlos, Anselmi, Roberta, Araújo, Guilherme, Azevedo, Sabbrina, Bezerra, Rodrigo, Biancardi, Gabriel Blacher Grossman, Simone, Brandão, Diego Bromfman Pianta, Lara, Carreira, Bruno, Castro, Tien, Chang, Fernando Cunali Jr, Roberto, Cury, Roberto, Dantas, Fernando de Amorim Fernandes, Andrea De Lorenzo, Robson De Macedo Filho, Fernanda, Erthal, Fabio, Fernandes, Juliano, Fernandes, Thiago Ferreira De Souza, Wilson Furlan Alves, Bruno, Ghini, Luiz, Goncalves, Ilan, Gottlieb, Marcelo, Hadlich, Vinícius, Kameoka, Ronaldo, Lima, Adna, Lima, Rafael Willain Lopes, Ricardo Machado, E Silva, Tiago, Magalhães, Fábio Martins Silva, Luiz Eduardo Mastrocola, Fábio, Medeiros, José Claudio Meneghetti, Vania, Naue, Danilo, Naves, Roberto, Nolasco, Cesar, Nomura, Joao Bruno Oliveira, Eduardo, Paixao, Filipe Penna De Carvalho, Ibraim, Pinto, Priscila, Possetti, Mayra, Quinta, Rodrigo Rizzo Nogueira Ramos, Ricardo, Rocha, Alfredo, Rodrigues, Carlos, Rodrigues, Leila, Romantini, Adelina, Sanches, Sara, Santana, Leonardo Sara da Silva, Paulo, Schvartzman, Cristina Sebastião Matushita, Tiago, Senra, Afonso, Shiozaki, Maria Eduarda Menezes de Siqueira, Cristiano, Siqueira, Paola, Smanio, Carlos Eduardo Soares, José Soares Junior, Marcio Sommer Bittencourt, Bernardo, Spiro, Cláudio Tinoco Mesquita, Jorge, Torreao, Rafael, Torres, Marly, Uellendahl, Guilherme Urpia Monte, Otávia, Veríssimo, Estevan Vieira Cabeda, Felipe Villela Pedras, Roberto, Waltrick, Marcello, Zapparoli, Hamid, Naseer, Marina, Garcheva-Tsacheva, Irena, Kostadinova, Youdaline, Theng, Gad, Abikhzer, Rene, Barette, Benjamin, Chow, Dominique, Dabreo, Matthias, Friedrich, Ria, Garg, Mohammed Nassoh Hafez, Chris, Johnson, Marla, Kiess, Jonathon, Leipsic, Eugene, Leung, Robert, Miller, Anastasia, Oikonomou, Stephan, Probst, Idan, Roifman, Gary, Small, Vikas, Tandon, Adwait, Trivedi, James, White, Katherine, Zukotynski, Jose, Canessa, Gabriel Castro Muñoz, Carmen, Concha, Pablo, Hidalgo, Cesar, Lovera, Teresa, Massardo, Luis Salazar Vargas, Pedro, Abad, Harold, Arturo, Sandra, Ayala, Luis, Benitez, Alberto, Cadena, Carlos, Caicedo, Antonio Calderón Moncayo, Sharon, Gomez, Claudia, T Gutierrez Villamil, Claudia, Jaimes, Juan Luis Londoño Blair, Luz, Pabon, Mauricio, Pineda, Juan Carlos Rojas, Diego, Ruiz, Manuel Valencia Escobar, Andres, Vasquez, Damiana, Vergel, Alejandro, Zuluaga, Isabel Berrocal Gamboa, Gabriel, Castro, Ulises, González, Ana, Baric, Tonci, Batinic, Maja, Franceschi, Maja Hrabak Paar, Mladen, Jukic, Petar, Medakovic, Viktor, Persic, Marina, Prpic, Ante, Punda, Juan Felipe Batista, Juan Manuel Gómez Lauchy, Yamile Marcos Gutierrez, Rayner, Menéndez, Amalia, Peix, Luis, Rochela, Christoforos, Panagidis, Ioannis, Petrou, Vaclav, Engelmann, Milan, Kaminek, Vladimír, Kincl, Otto, Lang, Milan, Simanek, Jawdat, Abdulla, Morten, Bøttcher, Mette, Christensen, Lars Christian Gormsen, Philip, Hasbak, Søren, Hess, Paw, Holdgaard, Allan, Johansen, Kasper, Kyhl, Kristian Altern Øvrehus, Niels Peter Rønnow Sand, Rolf, Steffensen, Anders, Thomassen, Zerahn, Bo, Alfredo, Perez, Giovanni Alejandro Escorza Velez, Mayra Sanchez Velez, Islam Shawky Abdel Aziz, Mahasen, Abougabal, Taghreed, Ahmed, Ahmed, Asfour, Mona, Hassan, Alia, Hassan, Ahmed, Ibrahim, Sameh, Kaffas, Ahmed, Kandeel, Mohamed Mandour Ali, Ahmad, Mansy, Hany, Maurice, Sherif, Nabil, Mahmoud, Shaaban, Ana Camila Flores, Anne, Poksi, Juhani, Knuuti, Velipekka, Kokkonen, Martti, Larikka, Valtteri, Uusitalo, Matthieu, Bailly, Samuel, Burg, Jean-François, Deux, Vincent, Habouzit, Fabien, Hyafil, Olivier, Lairez, Franck, Proffit, Hamza, Regaieg, Laure, Sarda-Mantel, Vania, Tacher, Roman, P Schneider, Harold, Ayetey, George, Angelidis, Aikaterini, Archontaki, Sofia, Chatziioannou, Ioannis, Datseris, Christina, Fragkaki, Panagiotis, Georgoulias, Sophia, Koukouraki, Maria, Koutelou, Eleni, Kyrozi, Evangelos, Repasos, Petros, Stavrou, Pipitsa, Valsamaki, Carla, Gonzalez, Goleat, Gutierrez, Alejandro, Maldonado, Klara, Buga, Ildiko, Garai, Erzsébet, Schmidt, Balint, Szilveszter, Edit, Várady, Nilesh, Banthia, Jinendra Kumar Bhagat, Rishi, Bhargava, Vivek, Bhat, Partha, Choudhury, Vijay Sai Chowdekar, Aparna, Irodi, Shashank, Jain, Elizabeth, Joseph, Sukriti, Kumar, Girijanandan, Mahapatra, Deepanjan, Mitra, Bhagwant Rai Mittal, Ahmad, Ozair, Chetan, Patel, Tapan, Patel, Ravi, Patel, Shivani, Patel, Sudhir, Saxena, Shantanu, Sengupta, Santosh, Singh, Bhanupriya, Singh, Ashwani, Sood, Atul, Verma, Erwin, Affandi, Padma Savenadia Alam, Edison, Edison, Gani, Gunawan, Habusari, Hapkido, Basuki, Hidayat, Aulia, Huda, Anggoro Praja Mukti, Djoko, Prawiro, Erwin Affandi Soeriadi, Hilman, Syawaluddin, Amjed, Albadr, Majid, Assadi, Farshad, Emami, Golnaz, Houshmand, Majid, Maleki, Maryam Tajik Rostami, Seyed Rasoul Zakavi, Eed Abu Zaid, Svetlana, Agranovich, Yoav, Arnson, Rachel, Bar-Shalom, Alex, Frenkel, Galit, Knafo, Rachel, Lugassi, Israel Shlomo Maor Moalem, Maya, Mor, Noam, Muskal, Sara, Ranser, Aryeh, Shalev, Domenico, Albano, Pierpaolo, Alongi, Gaspare, Arnone, Elisa, Bagatin, Sergio, Baldari, Matteo, Bauckneht, Paolo, Bertelli, Francesco, Bianco, Rachele, Bonfiglioli, Roberto, Boni, Andrea, Bruno, Isabella, Bruno, Elena, Busnardo, Elena, Califaretti, Luca, Camoni, Aldo, Carnevale, Roberta, Casoni, Armando Ugo Cavallo, Giorgio, Cavenaghi, Franca, Chierichetti, Marcello, Chiocchi, Corrado, Cittanti, Mauro, Colletta, Umberto, Conti, Alberto, Cossu, Alberto, Cuocolo, Marco, Cuzzocrea, Maria Luisa De Rimini, Giuseppe De Vincentis, Eleonora Del Giudice, Alberico Del Torto, DELLA TOMMASINA, Veronica, Rexhep, Durmo, Erba, PAOLA ANNA, Laura, Evangelista, Riccardo, Faletti, Evelina, Faragasso, Mohsen, Farsad, Paola, Ferro, Luigia, Florimonte, Viviana, Frantellizzi, Fabio Massimo Fringuelli, Marco, Gatti, Angela, Gaudiano, Alessia, Gimelli, Raffaele, Giubbini, Francesca, Giuffrida, Salvatore, Ialuna, Riccardo, Laudicella, Lucia, Leccisotti, Lucia, Leva, Liga, Riccardo, Carlo, Liguori, Giampiero, Longo, Margherita, Maffione, Maria Elisabetta Mancini, Claudio, Marcassa, Barbara, Nardi, Sara, Pacella, Giovanna, Pepe, Gianluca, Pontone, Sabina, Pulizzi, Natale, Quartuccio, Lucia, Rampin, Fabrizio, Ricci, Pierluigi, Rossini, Giuseppe, Rubini, Vincenzo, Russo, Gian Mauro Sacchetti, Gianmario, Sambuceti, Massimo, Scarano, Roberto, Sciagrà, Massimiliano, Sperandio, Antonella, Stefanelli, Guido, Ventroni, Stefania, Zoboli, Dainia, Baugh, Duane, Chambers, Ernest, Madu, Felix, Nunura, Hiroshi, Asano, Chimura Misato Chimura, Shinichiro, Fujimoto, Koichiro, Fujisue, Tomohisa, Fukunaga, Yoshimitsu, Fukushima, Kae, Fukuyama, Jun, Hashimoto, Yasutaka, Ichikawa, 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Cheung, Dai, Xu, Lianggeng, Gong, Dan, Han, Yang, Hou, Caiying, Li, Tao, Li, Dong, Li, Sijin, Li, Jinkang, Liu, Hui, Liu, Ming Yen Ng, Kai, Sun, Gongshun, Tang, Jian, Wang, Ximing, Wang, Zhao-Qian, Wang, Yining, Wang, Yifan, Wang, Jiang, Wu, Zhifang, Wu, Liming, Xia, Jiangxi, Xiao, Lei, Xu, Youyou, Yang, Yin, Wu, Jianqun, Yu, Yuan, Li, Tong, Zhang, Longjiang, Zhang, Yong-Gao, Zhang, Xiaoli, Zhang, Zhu, Li, Ana, Alfaro, Paz, Abrihan, Asela, Barroso, Eric, Cruz, Marie Rhiamar Gomez, Vincent Peter Magboo, John Michael Medina, Jerry, Obaldo, Davidson, Pastrana, Christian Michael Pawhay, Alvin, Quinon, Jeanelle Margareth Tang, Bettina, Tecson, Kristine Joy Uson, Mila, Uy, Magdalena, Kostkiewicz, Jolanta, Kunikowska, Nuno, Bettencourt, Guilhermina, Cantinho, Antonio, Ferreira, Ghulam, Syed, Samer, Arnous, Said, Atyani, Angela, Byrne, Tadhg, Gleeson, David, Kerins, Conor, Meehan, David, Murphy, Mark, Murphy, John, Murray, Julie, O'Brien, Ji-In, Bang, Henry, Bom, Sang-Geon, Cho, Chae Moon Hong, Su Jin Jang, Yong Hyu Jeong, Won Jun Kang, Ji-Young, Kim, Jaetae, Lee, Chang Kyeong Namgung, Young, So, Kyoung Sook Won, Venjamin, Majstorov, Marija, Vavlukis, Barbara Gužic Salobir, Monika, Štalc, Theodora, Benedek, Imre, Benedek, Raluca, Mititelu, Claudiu Adrian Stan, Alexey, Ansheles, Olga, Dariy, Olga, Drozdova, Nina, Gagarina, Vsevolod Milyevich Gulyaev, Irina, Itskovich, Anatoly, Karalkin, Alexander, Kokov, Ekaterina, Migunova, Viktor, Pospelov, Daria, Ryzhkova, Guzaliya, Saifullina, Svetlana, Sazonova, Irina, Shurupova, Tatjana, Trifonova, Wladimir Yurievich Ussov, Margarita, Vakhromeeva, Nailya, Valiullina, Konstantin, Zavadovsky, Kirill, Zhuravlev, Mirvat, Alasnag, Subhani, Okarvi, Dragana Sobic Saranovic, Felix, Keng, Jia Hao Jason See, Ramkumar, Sekar, Min Sen Yew, Andrej, Vondrak, Shereen, Bejai, George, Bennie, Ria, Bester, Gerrit, Engelbrecht, Osayande, Evbuomwan, Harlem, Gongxeka, Magritha Jv Vuuren, Mitchell, Kaplan, Purbhoo, Khushica, Hoosen, Lakhi, Nico, Malan, 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Ahmed Tawakol, Dustin, Thomas, Randall, Thompson, Tara, Torbet, Desiree, Trinidad, Shawn, Ullery, Samuel, Unzek, Seth, Uretsky, Srikanth, Vallurupalli, Vikas, Verma, Alfonso, Waller, Ellen, Wang, Parker, Ward, Gaby, Weissman, George, Wesbey, Kelly, White, David, Winchester, David, Wolinsky, Sandra, Yost, Michael, Zgaljardic, Omar, Alonso, Mario, Beretta, Rodolfo, Ferrando, Miguel, Kapitan, Fernando, Mut, Omoa, Djuraev, Gulnora, Rozikhodjaeva, Ha Le Ngoc, Son Hong Mai, Xuan Canh Nguyen, Einstein, A. J., Shaw, L. J., Hirschfeld, C., Williams, M. C., Villines, T. C., Better, N., Vitola, J. V., Cerci, R., Dorbala, S., Raggi, P., Choi, A. D., Lu, B., Sinitsyn, V., Sergienko, V., Kudo, T., Norgaard, B. L., Maurovich-Horvat, P., Campisi, R., Milan, E., Louw, L., Allam, A. H., Bhatia, M., Malkovskiy, E., Goebel, B., Cohen, Y., Randazzo, M., Narula, J., Pascual, T. N. B., Pynda, Y., Dondi, M., Paez, D., Cuocolo, A., Einstein, A, Shaw, L, Hirschfeld, C, Williams, M, Villines, T, Better, N, Vitola, J, Cerci, R, Dorbala, S, Raggi, P, Choi, A, Lu, B, Sinitsyn, V, Sergienko, V, Kudo, T, Norgaard, B, Maurovich-Horvat, P, Campisi, R, Milan, E, Louw, L, Allam, A, Bhatia, M, Malkovskiy, E, Goebel, B, Cohen, Y, Randazzo, M, Narula, J, Pascual, T, Pynda, Y, Dondi, M, Paez, D, Pacella, S, and Erba, P
Subjects: INCAPS COVID Investigators Group, Heart disease, Vascular damage Radboud Institute for Health Sciences [Radboudumc 16], Diagnostic Techniques, Cardiovascular, coronavirus, global health, IAEA, Disease, Telehealth, Cardiorespiratory Medicine and Haematology, 030204 cardiovascular system & hematology, Cardiovascular, 0302 clinical medicine, cardiovascular disease, cardiac testing, COVID-19, diagnostic techniques, cardiovascular, health care surveys, heart diseases, humans, international agencies, Pandemic, Global health, 030212 general & internal medicine, COVID-19 Heart Disease, Cause of death, STATEMENT, Heart Disease, International Agencie, Public Health and Health Services, Biomedical Imaging, Cardiology and Cardiovascular Medicine, Human, medicine.medical_specialty, Heart Diseases, 03 medical and health sciences, Clinical Research, medicine, Humans, Personal protective equipment, Heart Disease - Coronary Heart Disease, business.industry, International Agencies, medicine.disease, the, coronaviru, Diagnostic Techniques, Good Health and Well Being, Clinical research, Cardiovascular System & Hematology, Health Care Survey, Health Care Surveys, Emergency medicine, Global Health, business
Abstract: BACKGROUND The coronavirus disease 2019 (COVID-19) pandemic has adversely affected diagnosis and treatment of noncommunicable diseases. Its effects on delivery of diagnostic care for cardiovascular disease, which remains the leading cause of death worldwide, have not been quantified. OBJECTIVES The study sought to assess COVID-19`s impact on global cardiovascular diagnostic procedural volumes and safety practices. METHODS The International Atomic Energy Agency conducted a worldwide survey assessing alterations in cardiovascular procedure volumes and safety practices resulting from COVID-19. Noninvasive and invasive cardiac testing volumes were obtained from participating sites for March and April 2020 and compared with those from March 2019. Availability of personal protective equipment and pandemic-related testing practice changes were ascertained. RESULTS Surveys were submitted from 909 inpatient and outpatient centers performing cardiac diagnostic procedures, in 108 countries. Procedure volumes decreased 42% from March 2019 to March 2020, and 64% from March 2019 to April 2020. Transthoradc echocardiography decreased by 59%, transesophageat echocardiography 76%, and stress tests 78%, which varied between stress modalities. Coronary angiography (invasive or computed tomography) decreased 55% (p < 0.001 for each procedure). hi multivariable regression, significantly greater reduction in procedures occurred for centers in countries with lower gross domestic product. Location in a low-income and lower-middle-income country was associated with an additional 22% reduction in cardiac procedures and less availability of personal protective equipment and teteheatth. CONCLUSIONS COVID-19 was associated with a significant and abrupt reduction in cardiovascular diagnostic testing across the globe, especially affecting the world's economically challenged. Further study of cardiovascular outcomes and COVID-19-related changes in care delivery is warranted. (C) 2021 The Authors. Published by Elsevier on behalf of the American College of Cardiology Foundation.
Published: 2021

30. Worldwide Disparities in Recovery of Cardiac Testing 1 Year Into COVID-19

Author: Andrew J. Einstein, Cole Hirschfeld, Michelle C. Williams, Joao V. Vitola, Nathan Better, Todd C. Villines, Rodrigo Cerci, Leslee J. Shaw, Andrew D. Choi, Sharmila Dorbala, Ganesan Karthikeyan, Bin Lu, Valentin Sinitsyn, Alexey A. Ansheles, Takashi Kudo, Chiara Bucciarelli-Ducci, Bjarne Linde Nørgaard, Pál Maurovich-Horvat, Roxana Campisi, Elisa Milan, Lizette Louw, Adel H. Allam, Mona Bhatia, Lorenzo Sewanan, Eli Malkovskiy, Yosef Cohen, Michael Randazzo, Jagat Narula, Olga Morozova, Thomas N.B. Pascual, Yaroslav Pynda, Maurizio Dondi, Diana Paez, Gerd Hinterleitner, Yao Lu, Zhuoran Xu, Cole B. Hirschfeld, Ikenna Erinne, Mrinali Shetty, Andrew Choi, Juan Lopez-Mattei, Purvi Parwani, Artan Goda, Ervina Shirka, Salah Bouyoucef, Lydia Chelghoum, Farouk Mansouri, Abdelkader Medjahedi, Qais Naili, Mokhtar Ridouh, Diego Alasia, Lucia Alberghina, Natalia Aramayo, Diego Buchara, Franco Gabriel Busso, Jose Javier Bustos Rivadero, Jorge Camilletti, Hugo Campanelli, Ricardo Belisario Castro, Mariana Daicz, Horacio del Riego, Laura Dragonetti, Diego Echazarreta, Juan Erriest, Fernando Faccio, Adolfo Facello, Hugo Gallegos, Ricardo Geronazzo, Horacio Glait, Victor Hasbani, Victor Jäger, Julio Manuel Lewkowicz, Jose Lotti, Neiva Maciel, Osvaldo Masoli, Edgardo Mastrovito, Maria Medus, Maria Fernanda Merani, Susana Molteni, Marcos Montecinos, Gustavo Parisi, Claudio Pereyra Sueldo, Diego Perez de Arenaza, Luis Quintana, Alejandro Radzinschi, Marcela Redruello, Marina Rodríguez, Horacio Rojas, Arturo Romero Acuña, Daniel Schere, Sonia Traverso, Gustavo Vazquez, Susana Zeffiro, Mari Sakanyan, Scott Beuzeville, Raef Boktor, Michael Crowley, D'Arne Downie, Girish Dwivedi, Barry Elison, Omar Farouque, Kim Jasper, Subodh Joshi, Joseph Lee, Kenneth Lee, Elaine Lui, Peter Mcconachie, Joanne Meaker, Dee Nandurkar, Johanne Neill, Edward O'Rourke, Patricia O'Sullivan, George Pandos, Manuja Premaratne, David Prior, Natalie Rutherford, Connor Saunders, Kim Taubman, Andrew Tauro, Andrew Taylor, James Theuerle, Paul Thomas, Jonathan Tow, Anthony Upton, Shankar Vamadevan, Victor Wayne, Eva Alina Wegner, David Wong, John Younger, Dietrich Beitzke, Gudrun Feuchtner, Oliver Sommer, Konrad Weiss, Natallia Maroz-Vadalazhskaya, Uladzimir Tserakhau, Filip Homans, Caroline M. Van De Heyning, Raúl Araujo, Valentina Soldat-Stankovic, Sinisa Stankovic, Augusto Almeida, Carlos Anselmi, Guilherme S.A. Azevedo, Marcio Sommer Bittencourt, Diego Bromfman Pianta, Estevan Cabeda, Lara Carreira, Igor Coelho, Fernando de Amorim Fernandes, Andrea de Lorenzo, Roberta Delgado, Fernanda Erthal, Fabio Fernandes, Juliano Fernandes, Thiago Ferreira de Souza, Murilo Foppa, Wilson Furlan Matos Alves, Cibele Gontijo, Ilan Gottlieb, Gabriel Grossman, Maria Helena Albernaz Siqueira, Cesar Higa Nomura, Katia Hiromoto Koga, Ronaldo Lima, Rafael Lopes, Hugo Humberto Marçal Filho, Paulo Masiero, Luiz Mastrocola, Maria Eduarda Menezes de Siqueira, Claudio Mesquita, Danilo Naves, Filipe Penna, Ibraim Pinto, Thércio Rocha, Juliana Leal Rocha, Alfredo Rodrigues, Leila Salioni, Adelina Sanches, Marcelo Santos, Leonardo Sara Da Silva, Paulo Schvartzman, Cristina Sebastião Matushita, Tiago Senra, Marcelo Silva, Carlos Eduardo Soares, Bernardo Spiro, Carlos Eduardo Suaide Silva, Rafael Torres, Guilherme Urpia Monte, Andrea Vilela, Alexandre Volney Villa, Joao Vitola, Themissa Voss, Roberto Waltrick, Marcello Zapparoli, Hamid Naseer, Marina Garcheva-Tsacheva, Tiémégna Florence Ouattara, Sarameth Thou, Soley Varoeun, Gad Abikhzer, Rob Beanlands, Michael Chetrit, Dominique Dabreo, Carole Dennie, Matthias Friedrich, Mohmmed Nassoh Hafez, Kate Hanneman, Robert Miller, Anastasia Oikonomou, Idan Roifman, Gary Small, Vikas Tandon, Adwait Trivedi, James White, Katherine Zukotynski, Rita Alay, Carmen Concha, Teresa Massardo, Pedro Abad, Kelly Anzola, Harold Arturo, Luis Benitez, Alberto Cadena, Carlos Caicedo Zamudio, Antonio Calderón, Claudia T. Gutierrez Villamil, Claudia Jaimes, Juan L. Londono, Nelson Lopez, Sonia Merlano-Gaitan, Ramon Murgieitio-Cabrera, Manuel Valencia, Damiana Vergel, Alejandro Zuluaga Santamaria, Felix Solis, Tonci Batinic, Maja Franceschi, Maja Hrabak Paar, Marina Prpic, Cuba: Juan Felipe Batista, Lazaro Omar Cabrera, Amalia Peix, Yamilé Peña, Luis Manuel Rochela Vázquez, Ioannis Ntalas, Milan Kaminek, Vladimir Kincl, Otto Lang, Jawdat Abdulla, Morten Bøttcher, Martin Busk, Uka Geisler, Lars C. Gormsen, Nicolaj Hansson, Søren Hess, Jens Hove, Lars Thorbjoern Jensen, Magnus T. Jensen, Kristian Hay Kragholm, Bjarne L. Nørgaard, Kristian Øvrehus, Jan Rasmussen, Niels Peter Rønnow Sand, Hanne Sondergaard, Tomas Zaremba, Herwin Speckter, Nelson Amores, Mayra Sanchez Velez, Taghreed Abd Alrahman, Sherif Abd Elsamad, Alia Abdelfattah, Adel Allam, Sameh Elkaffas, Mona Hassan, Elshaymaa Hussein, Ahmed Ibrahim, Ahmed Kandeel, Mohamed Mandour Ali, Mahmoud Shaaban, Camila Flores, Verónica Vanesa Gómez Leiva, Anita Liiver, Martti Larikka, Valtteri Uusitalo, Denis Agostini, Clothilde Berger, Matthieu Dietz, Fabien Hyafil, Mickaël Ohana, Kevin Prigent, Hamza Regaieg, Laure Sarda-Mantel, Darach O. 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Karim, Mady Doucoure, Luise Reichmuth, Anthony Samuel, Mohamed Lemine Dieng, Ambedhkar Shantaram Naojee, Estrella Aguilera Hernandez, Cesar Rene Alducin Tellez, Erick Alexánderson-Rosas, Erika Barragan, Manuel Cabada, Daniel Calderón, Isabel Carvajal-Juarez, José Esparza, Manlio Gerardo Gama-Moreno, Virginia Garcia Quinto, Nelsy Coromoto Gonzalez, Mary Carmen Herrera-Zarza, Aloha Meave, Jesus Gregorio Medina Verdugo, Gabriela Melendez, Rafael Humberto Morales Murguia, Carlos Salvador Navarro Quiroz, Mario Ornelas, Andres Preciado-Anaya, Oscar Ulises Preciado-Gutiérrez, Adriana Puente, Aristóteles Ramírez Salazar, Sandra Graciela Rosales Uvera, Sandra Rosales-Uvera, Jose Antonio Serna Macias, Lilia Sierra-Galan, Lilia M. 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Aaysha Cader, Raihan Hussain, Saidur Rahman Khan, Tapati Mandal, Faria Nasreen, Yunqiang An, Dianbo Cao, Lianggeng Gong, Yang Hou, Chongfu Jia, Tao Li, Caiying Li, Hui Liu, Wenya Liu, Jinkang Liu, Ming-Yen Ng, Heshui Shi, Chunxiang Tang, Ximing Wang, Zhaoqian Wang, Yining Wang, Jiang Wu, Yan Yi, Li Yuan, Tong Zhang, Longjiang Zhang, Edith Chavez, Carlos Cruz, Christian Llontop, Rosanna Morales, Paz Abrihan, Asela Bustos-Barroso, Michele Duldulao-Ogbac, Christopher Eduarte, Jerry Obaldo, Alvin Quinon, Belinda San Juan, Carlo Joe San Juan, Marie Rhiamar Sauler-Gomez, Mila Uy, Magdalena Kostkiewicz, Jolanta Kunikowska, Anna Teresinska, Tomasz Urbanik, Nuno Bettencourt, Ricardo Fontes-Carvalho, Cristina Gavina, Lino Gonçalves, Filipe Macedo, Nuno Moreno, Carla Sousa, Ana Teresa Timoteo, Maria João Vidigal, Mahmoud Al Heidous, Subramaniyan Ramanathan, Samer Arnous, Said Aytani, Angela Byrne, Tadhg Gleeson, David Kerins, Julie O'Brien, Ji-In Bang, Henry Bom, Miju Cheon, Gi Jeong Cheon, Sang-Geon Cho, Chae Moon Hong, Yong Hyu Jeong, Won Jun Kang, Yeon-Koo Kang, Ji-Young Kim, So Won Oh, Young So, Ho-Chun Song, Kyoung Sook Won, Soo Woong Yoo, Irena Mitevska, Marija Vavlukis, Barbara Gužic Salobir, Monika Štalc, Theodora Benedek, Marian Pop, Claudiu Stan, Alexey Ansheles, Olga Dariy, Nina Gagarina, Irina Itskovich, Anatoliy Karalkin, Alexander Kokov, Gulya Marina, Ekaterina Migunova, Viktor Pospelov, Daria Ryzhkova, Guzaliya Sayfullina, Vladimir Sergienko, Irina Shurupova, Margarita Vakhromeeva, Nailia Valiullina, Konstantin Zavadovsky, Kirill Zhuravlev, Rami Abazid, Turki Al Garni, Mirvat Alasnag, Ahmed Aljizeeri, Hamid Amer, Ahmad Amro, Hesham Hamdy, Osama Smettei, Dragana Sobic Saranovic, Marina Vlajkovic, Felix Keng, Jason See, Zuzana Berecova, Jana Polakova Mistinova, Osayande Evbuomwan, Nerisha Govender, Jonathan Hack, Bawinile Hadebe, Khanyisile Hlongwa, Mitchell Kaplan, Hoosen Lakhi, Katarina Milos, Moshe Modiselle, Stuart More, Ntanganedzeni Muambadzi, Leonie Scholtz, Manuel Barreiro-Perez, Isabel Blanco, Jordi Broncano, Alicia Camarero, Irene Casáns-Tormo, Javier De Haro, Albert Flotats, Elia García, Ceferino Gutierrez Mendiguchia, Amelia Jimenez-Heffernan, Ruben Leta, Javier Lopez Diaz, Luis Lumbreras Vega, Ana Manovel-Sánchez, Amparo Martinez Monzonis, Bianca Patrut, Virginia Pubul, Ricardo Ruano Perez, Nahla Zeidan, Damayanthi Nanayakkara, Ahmed Suliman, Henrik Engblom, Mustafa Murtadha, Ellen Ostenfeld, Magnus Simonsson, Hatem Alkadhi, Ronny Ralf Buechel, Peter Burger, Christoph Gräni, Christel Kamani, Nadine Kawel-Böhm, Bernd Klaeser, Robert Manka, John Prior, Tawika Kaewchur, Benjapa Khiewvan, Arpakorn Kositwattanarerk, Sirianong Namwongprom, Tanyaluck Thientunyakit, Haluk Burcak Sayman, Mahmut Yüksel, Mugisha Julius Sebikali, Emmy Okello, Pavlo Korol, Iryna Noverko, Maryna Satyr, Tahir Ahmad, Khaled Alfakih, Ivo Andrade, Susan Buckingham, Anda Bularga, John-Paul Carpenter, Graham Cole, David Cusack, Sarojini David, Patrick Davis, Timothy Fairbairn, Arjun Ghosh, Prasad Guntur Ramkumar, Mark Hamilton, Faisal Haque, Benjamin Hudson, Annette Johnstone, V.J. 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Cameron Foster, Anthon Fuisz, Michael Gannon, David German, Myron Gerson, Jeffrey Geske, Fadi Hage, Agha Haider, Sofia Haider, Yasmin Hamirani, Karen Hassen, Robert Hendel, Jacqueline Henkel, Stephen Horgan, Mark Hyun, Rajesh Janardhanan, Scott Jerome, Dinesh Kalra, David Kassop, Mona Kinkhabwala, George Kinzfogl, Bernard Koch, Lynne Koweek, Joseph Krepp, Younghoon Kwon, Jay Layer, John Lesser, Steve Leung, Bernadette Lisske, Kathleen Magurany, Jeremy Markowitz, Brenda Mccullough, Azita Moalemi, Chanan Moffitt, Juan Montanez, Warren Moore, Shamil Morayati, Mahmud Mossa-Basha, Zorana Mrsic, Venkatesh Murthy, Prashant Nagpal, Katarina Nelson, Prabhjot Nijjar, Rupal O’Quinn, Edward Passen, Toral Patel, Pravin Patil, Amit Pursnani, Nancy Quachang, Mark Rabbat, Pragya Ranjan, Patricia Rodriguez Lozano, Mary Schemmer, Rebecca Seifried, Nishant Shah, Amee Shah, Sujata Shanbhag, Gaurav Sharma, Robert Skotnicki, Michael Sobczak, Prem Soman, Vincent Sorrell, Monvadi Srichai, Jim Streeter, Leah Strickland, Suliman Suliman, Naghmeh Tebyanian, Dustin Thomas, Randall Thompson, Seth Uretsky, Srikanth Vallurupalli, Marian Vandyck-Acquah, Vikas Verma, Todd Villines, Joseph Weinstein, David Wolinsky, Karolina Zareba, Michael Zgaljardic, Mario Beretta, Rodolfo Ferrando, Miguel Kapitan, Fernando Mut, Omoa Djuraev, Gulnora Rozikhodjaeva, Luisa Vera, Binh Duong Duc, Xuan Canh Nguyen, Phuoc Minh Hiep Nguyen, Translational Immunology Groningen (TRIGR), Cardiovascular Centre (CVC), Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE), Molecular Pharmacology, Drug Design, Einstein, A, Hirschfeld, C, Williams, M, Vitola, J, Better, N, Villines, T, Cerci, R, Shaw, L, Choi, A, Dorbala, S, Karthikeyan, G, Lu, B, Sinitsyn, V, Ansheles, A, Kudo, T, Bucciarelli-Ducci, C, Norgaard, B, Maurovich-Horvat, P, Campisi, R, Milan, E, Louw, L, Allam, A, Bhatia, M, Sewanan, L, Malkovskiy, E, Cohen, Y, Randazzo, M, Narula, J, Morozova, O, Pascual, T, Pynda, Y, Dondi, M, 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Rutherford, N, Saunders, C, Taubman, K, Tauro, A, Taylor, A, Theuerle, J, Thomas, P, Tow, J, Upton, A, Vamadevan, S, Wayne, V, Wegner, E, Wong, D, Younger, J, Beitzke, D, Feuchtner, G, Sommer, O, Weiss, K, Maroz-Vadalazhskaya, N, Tserakhau, U, Homans, F, Van De Heyning, C, Araujo, R, Soldat-Stankovic, V, Stankovic, S, Almeida, A, Anselmi, C, Azevedo, G, Bittencourt, M, Pianta, D, Cabeda, E, Carreira, L, Coelho, I, de Amorim Fernandes, F, de Lorenzo, A, Delgado, R, Erthal, F, Fernandes, F, Fernandes, J, Ferreira de Souza, T, Foppa, M, Matos Alves, W, Gontijo, C, Gottlieb, I, Grossman, G, Albernaz Siqueira, M, Nomura, C, Koga, K, Lima, R, Lopes, R, Marcal Filho, H, Masiero, P, Mastrocola, L, Menezes de Siqueira, M, Mesquita, C, Naves, D, Penna, F, Pinto, I, Rocha, T, Rocha, J, Rodrigues, A, Salioni, L, Sanches, A, Santos, M, Da Silva, L, Schvartzman, P, Matushita, C, Senra, T, Silva, M, Soares, C, Spiro, B, Suaide Silva, C, Torres, R, Monte, G, Vilela, A, Villa, A, Voss, T, Waltrick, R, 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Ornelas, M, Preciado-Anaya, A, Preciado-Gutierrez, O, Puente, A, Salazar, A, Rosales Uvera, S, Rosales-Uvera, S, Serna Macias, J, Sierra-Galan, L, Tirado Alderete, J, Vallejo, E, Faraggi, M, Sereegotov, E, Ben Rais, N, Alaoui, N, Kyiphyu, T, Oo, S, Win, S, Zar, H, Ghimire, R, Neupane, M, Glaudemans, A, Slart, R, Verschure, D, Allen, B, Edmond, J, Mckenzie, C, Tie, S, Van Pelt, N, Worthington, K, Young, C, Soli, I, Kana, S, Onubogu, U, Sani, M, Braten, A, Jorgensen, A, Vassbotn, H, Al Dhuhli, H, Jawa, Z, Tag, N, Fatima, S, Imran, M, Younis, M, Saadullah, M, Malo, Y, Lenturut-Katal, D, Castillo, M, Ortellado, J, Akhter, A, Cader, F, Hussain, R, Khan, S, Mandal, T, Nasreen, F, An, Y, Cao, D, Gong, L, Hou, Y, Jia, C, Li, T, Li, C, Liu, H, Liu, W, Liu, J, Ng, M, Shi, H, Tang, C, Wang, X, Wang, Z, Wang, Y, Wu, J, Yi, Y, Yuan, L, Zhang, T, Zhang, L, Chavez, E, Cruz, C, Llontop, C, Morales, R, Abrihan, P, Bustos-Barroso, A, Duldulao-Ogbac, M, Eduarte, C, Obaldo, J, Quinon, A, San Juan, B, San Juan, C, Sauler-Gomez, M, Uy, M, Kostkiewicz, M, Kunikowska, J, Teresinska, A, Urbanik, T, Bettencourt, N, Fontes-Carvalho, R, Gavina, C, Goncalves, L, Macedo, F, Moreno, N, Sousa, C, Timoteo, A, Vidigal, M, Al Heidous, M, Ramanathan, S, Arnous, S, Aytani, S, Byrne, A, Gleeson, T, Kerins, D, O'Brien, J, Bang, J, Bom, H, Cheon, M, Cheon, G, Cho, S, Hong, C, Jeong, Y, Kang, W, Kang, Y, Kim, J, Oh, S, So, Y, Song, H, Won, K, Yoo, S, Mitevska, I, Vavlukis, M, Salobir, B, Stalc, M, Benedek, T, Pop, M, Stan, C, Dariy, O, Gagarina, N, Itskovich, I, Karalkin, A, Kokov, A, Marina, G, Migunova, E, Pospelov, V, Ryzhkova, D, Sayfullina, G, Sergienko, V, Shurupova, I, Vakhromeeva, M, Valiullina, N, Zavadovsky, K, Zhuravlev, K, Abazid, R, Al Garni, T, Alasnag, M, Aljizeeri, A, Amer, H, Amro, A, Hamdy, H, Smettei, O, Saranovic, D, Vlajkovic, M, Keng, F, See, J, Berecova, Z, Mistinova, J, Evbuomwan, O, Govender, N, Hack, J, Hadebe, B, Hlongwa, K, Kaplan, M, Lakhi, H, Milos, K, Modiselle, M, More, S, Muambadzi, N, Scholtz, L, Barreiro-Perez, M, Blanco, I, Broncano, J, Camarero, A, Casans-Tormo, I, De Haro, J, Flotats, A, Garcia, E, Mendiguchia, C, Jimenez-Heffernan, A, Leta, R, Diaz, J, Vega, L, Manovel-Sanchez, A, Monzonis, A, Patrut, B, Pubul, V, Perez, R, Zeidan, N, Nanayakkara, D, Suliman, A, Engblom, H, Murtadha, M, Ostenfeld, E, Simonsson, M, Alkadhi, H, Buechel, R, Burger, P, Grani, C, Kamani, C, Kawel-Bohm, N, Klaeser, B, Manka, R, Prior, J, Kaewchur, T, Khiewvan, B, Kositwattanarerk, A, Namwongprom, S, Thientunyakit, T, Sayman, H, Yuksel, M, Sebikali, M, Okello, E, Korol, P, Noverko, I, Satyr, M, Ahmad, T, Alfakih, K, Andrade, I, Buckingham, S, Bularga, A, Carpenter, J, Cole, G, Cusack, D, David, S, Davis, P, Fairbairn, T, Ghosh, A, Ramkumar, P, Hamilton, M, Haque, F, Hudson, B, Johnstone, A, Karthikeyan, V, Kay, M, Khan, M, Kitt, J, Low, C, Mcalindon, E, Mccreavy, D, Morrissey, B, Motwani, M, Na, D, Nicol, E, Patel, D, Rodrigues, J, Rofe, C, Schofield, R, Semple, T, Sheikh, A, Sinha, A, Subedi, D, Topping, W, Tweed, K, Underwood, S, Weir-Mccall, J, Zuhairy, H, Abbasi, T, Abohashem, S, Abramson, S, Al-Mallah, M, Kumar, M, Balmer-Swain, M, Berman, D, Bernheim, A, Bhatti, S, Biederman, R, Bieging, E, Bingham, S, Bloom, S, Blue, S, Borges, A, Branch, K, Bravo, P, Buddhe, S, Budoff, M, Bullock-Palmer, R, Cahill, M, Candela, C, Cao, J, Chatterjee, S, Chatzizisis, Y, Chaudhuri, N, Cheezum, M, Chelliah, A, Chen, T, Chen, M, Chen, L, Chokshi, A, Chung, J, Danciu, S, Desisto, W, Dilorenzo, M, Doukky, R, Duvall, W, Ferencik, M, Foster, C, Fuisz, A, Gannon, M, German, D, Gerson, M, Geske, J, Hage, F, Haider, A, Haider, S, Hamirani, Y, Hassen, K, Hendel, R, Henkel, J, Horgan, S, Hyun, M, Janardhanan, R, Jerome, S, Kalra, D, Kassop, D, Kinkhabwala, M, Kinzfogl, G, Koch, B, Koweek, L, Krepp, J, Kwon, Y, Layer, J, Lesser, J, Leung, S, Lisske, B, Magurany, K, Markowitz, J, Mccullough, B, Moalemi, A, Moffitt, C, Montanez, J, Moore, W, Morayati, S, Mossa-Basha, M, Mrsic, Z, Murthy, V, Nagpal, P, Nelson, K, Nijjar, P, O'Quinn, R, Passen, E, Patil, P, Pursnani, A, Quachang, N, Rabbat, M, Ranjan, P, Lozano, P, Schemmer, M, Seifried, R, Shah, N, Shah, A, Shanbhag, S, Sharma, G, Skotnicki, R, Sobczak, M, Soman, P, Sorrell, V, Srichai, M, Streeter, J, Strickland, L, Suliman, S, Tebyanian, N, Thomas, D, Thompson, R, Uretsky, S, Vallurupalli, S, Vandyck-Acquah, M, Verma, V, Weinstein, J, Wolinsky, D, Zareba, K, Zgaljardic, M, Beretta, M, Ferrando, R, Kapitan, M, Mut, F, Djuraev, O, Rozikhodjaeva, G, Vera, L, Duc, B, Nguyen, X, Hiep Nguyen, P, Einstein, Andrew J, Hirschfeld, Cole, Williams, Michelle C, Vitola, Joao V, Better, Nathan, Villines, Todd C, Cerci, Rodrigo, Shaw, Leslee J, Choi, Andrew D, Dorbala, Sharmila, Karthikeyan, Ganesan, Lu, Bin, Sinitsyn, Valentin, Ansheles, Alexey A, Kudo, Takashi, Bucciarelli-Ducci, Chiara, Nørgaard, Bjarne Linde, Maurovich-Horvat, Pál, Campisi, Roxana, Milan, Elisa, Louw, Lizette, Allam, Adel H, Bhatia, Mona, Sewanan, Lorenzo, Malkovskiy, Eli, Cohen, Yosef, Randazzo, Michael, Narula, Jagat, Morozova, Olga, Pascual, Thomas N B, Pynda, Yaroslav, Dondi, Maurizio, Paez, Diana, and Cuocolo, Alberto
Subjects: cardiac testing, Health Personnel, delivery of health care, coronavirus, COVID-19, global health, 610 Medicine & health, cardiovascular disease, health personnel, humans, pandemics, surveys and questionnaires, coronaviru, Surveys and Questionnaires, Humans, Cardiology and Cardiovascular Medicine, Delivery of Health Care, Pandemics, COVID-19/epidemiology
Abstract: BACKGROUND: The extent to which health care systems have adapted to the COVID-19 pandemic to provide necessary cardiac diagnostic services is unknown.OBJECTIVES: The aim of this study was to determine the impact of the pandemic on cardiac testing practices, volumes and types of diagnostic services, and perceived psychological stress to health care providers worldwide.METHODS: The International Atomic Energy Agency conducted a worldwide survey assessing alterations from baseline in cardiovascular diagnostic care at the pandemic's onset and 1 year later. Multivariable regression was used to determine factors associated with procedure volume recovery.RESULTS: Surveys were submitted from 669 centers in 107 countries. Worldwide reduction in cardiac procedure volumes of 64% from March 2019 to April 2020 recovered by April 2021 in high- and upper middle-income countries (recovery rates of 108% and 99%) but remained depressed in lower middle- and low-income countries (46% and 30% recovery). Although stress testing was used 12% less frequently in 2021 than in 2019, coronary computed tomographic angiography was used 14% more, a trend also seen for other advanced cardiac imaging modalities (positron emission tomography and magnetic resonance; 22%-25% increases). Pandemic-related psychological stress was estimated to have affected nearly 40% of staff, impacting patient care at 78% of sites. In multivariable regression, only lower-income status and physicians' psychological stress were significant in predicting recovery of cardiac testing.CONCLUSIONS: Cardiac diagnostic testing has yet to recover to prepandemic levels in lower-income countries. Worldwide, the decrease in standard stress testing is offset by greater use of advanced cardiac imaging modalities. Pandemic-related psychological stress among providers is widespread and associated with poor recovery of cardiac testing.
Published: 2022

31. Beyond the

Author: Phillip H, Kuo and Katherine, Zukotynski
Subjects: Research, mental disorders, Online First, Comments, Original Investigation, Featured
Abstract: Key Points Question What is the prognostic value of tau positron emission tomography (PET) for predicting cognitive decline across the clinical spectrum of Alzheimer disease? Findings In this longitudinal, multicenter prognostic study including 1431 participants, baseline tau PET predicted change in Mini-Mental State Examination scores during a mean (SD) follow-up of 1.9 (0.8) years. Moreover, tau PET outperformed established volumetric magnetic resonance imaging and amyloid PET markers in head-to-head comparisons, especially in participants with mild cognitive impairment and cognitively normal individuals who were positive for amyloid-β. Meaning These findings suggest that tau PET is a promising prognostic tool for predicting cognitive decline in preclinical and prodromal stages of Alzheimer disease., Importance Tau positron emission tomography (PET) tracers have proven useful for the differential diagnosis of dementia, but their utility for predicting cognitive change is unclear. Objective To examine the prognostic accuracy of baseline fluorine 18 (18F)–flortaucipir and [18F]RO948 (tau) PET in individuals across the Alzheimer disease (AD) clinical spectrum and to perform a head-to-head comparison against established magnetic resonance imaging (MRI) and amyloid PET markers. Design, Setting, and Participants This prognostic study collected data from 8 cohorts in South Korea, Sweden, and the US from June 1, 2014, to February 28, 2021, with a mean (SD) follow-up of 1.9 (0.8) years. A total of 1431 participants were recruited from memory clinics, clinical trials, or cohort studies; 673 were cognitively unimpaired (CU group; 253 [37.6%] positive for amyloid-β [Aβ]), 443 had mild cognitive impairment (MCI group; 271 [61.2%] positive for Aβ), and 315 had a clinical diagnosis of AD dementia (315 [100%] positive for Aβ). Exposures [18F]Flortaucipir PET in the discovery cohort (n = 1135) or [18F]RO948 PET in the replication cohort (n = 296), T1-weighted MRI (n = 1431), and amyloid PET (n = 1329) at baseline and repeated Mini-Mental State Examination (MMSE) evaluation. Main Outcomes and Measures Baseline [18F]flortaucipir/[18F]RO948 PET retention within a temporal region of interest, MRI-based AD-signature cortical thickness, and amyloid PET Centiloids were used to predict changes in MMSE using linear mixed-effects models adjusted for age, sex, education, and cohort. Mediation/interaction analyses tested whether associations between baseline tau PET and cognitive change were mediated by baseline MRI measures and whether age, sex, and APOE genotype modified these associations. Results Among 1431 participants, the mean (SD) age was 71.2 (8.8) years; 751 (52.5%) were male. Findings for [18F]flortaucipir PET predicted longitudinal changes in MMSE, and effect sizes were stronger than for AD-signature cortical thickness and amyloid PET across all participants (R2, 0.35 [tau PET] vs 0.24 [MRI] vs 0.17 [amyloid PET]; P < .001, bootstrapped for difference) in the Aβ-positive MCI group (R2, 0.25 [tau PET] vs 0.15 [MRI] vs 0.07 [amyloid PET]; P, This prognostic study examines the prognostic accuracy of baseline [18F]flortaucipir and [18F]RO948 (tau) positron emission tomography (PET) in individuals across the Alzheimer disease clinical spectrum and performs a head-to-head comparison with established magnetic resonance imaging and amyloid PET markers.
Published: 2022

32. Radiographic and metabolic evolution of prostate cancer lung metastasis detected by prostate-specific membrane antigen and fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography

Author: Katherine Zukotynski, Theodoros Tsakiridis, Michael Bonert, and Alexander E. Anagnostopoulos
Subjects: lcsh:Medical physics. Medical radiology. Nuclear medicine, Pathology, medicine.medical_specialty, lcsh:R895-920, Radiography, Lung metastasis, Case Report, positron emission tomography/computed tomography, urologic and male genital diseases, 030218 nuclear medicine & medical imaging, prostate-specific membrane antigen, 03 medical and health sciences, Prostate cancer, chemistry.chemical_compound, 0302 clinical medicine, castrate-resistant prostate cancer, Glutamate carboxypeptidase II, Medicine, Positron Emission Tomography-Computed Tomography, Lung, medicine.diagnostic_test, business.industry, lung metastasis, 18f-dcfpyl, prostate cancer, medicine.disease, 18f-fluoro-2-deoxy-d-glucose positron emission tomography, medicine.anatomical_structure, chemistry, Positron emission tomography, 030220 oncology & carcinogenesis, business, 2-Deoxy-D-glucose
Abstract: We describe the case of a 75-year-old patient who progressed over a 12-year period from localized to symptomatic metastatic prostate cancer (PrCa) with lung as the sole organ of involvement. In this case, the specific sequence of positron emission tomography (PET)-based next-generation imaging with 18F-sodium fluoride-, 18F-fluoro-2-deoxy-D-glucose-, and 18F-DCFPyL PET/computed tomography and biopsies allowed illustration of the pathway of disease progression from nonglycolytic hormone-sensitive PrCa to glycolytic castrate-resistant PrCa without neuroendocrine features. The observations provide a unique insight into the timelines of anatomical and metabolic progression of metastatic PrCa. They highlight the value of close radiographic surveillance of metastatic PrCa with modern imaging to guide early treatment interventions.
Published: 2020

33. Machine Learning in Nuclear Medicine: Part 2—Neural Networks and Clinical Aspects

Author: Sulantha Mathotaarachchi, Francois Benard, Sandra E. Black, Katherine Zukotynski, Kenneth C. Smith, Carlos Uribe, Vincent Gaudet, and Pedro Rosa-Neto
Subjects: Focus (computing), Disease detection, Artificial neural network, Computer science, business.industry, Machine learning, computer.software_genre, Outcome (game theory), Checklist, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Variable (computer science), 0302 clinical medicine, Humans, Radiology, Nuclear Medicine and imaging, Neural Networks, Computer, Artificial intelligence, Nuclear Medicine, Outcome prediction, Nuclear medicine, business, computer, 030217 neurology & neurosurgery
Abstract: This article is the second part in our machine learning series. Part 1 provided a general overview of machine learning in nuclear medicine. Part 2 focuses on neural networks. We start with an example illustrating how neural networks work and a discussion of potential applications. Recognizing that there is a spectrum of applications, we focus on recent publications in the areas of image reconstruction, low-dose PET, disease detection, and models used for diagnosis and outcome prediction. Finally, since the way machine learning algorithms are reported in the literature is extremely variable, we conclude with a call to arms regarding the need for standardized reporting of design and outcome metrics and we propose a basic checklist our community might follow going forward.
Published: 2020

34. Amyloid‐independent vascular contributions to cortical atrophy and cognition in a multi‐center mixed cohort with low to severe small vessel disease

Author: Julie Ottoy, Miracle Ozzoude, Katherine Zukotynski, Sabrina M. Adamo, Christopher J. M. Scott, Vincent Gaudet, Joel Ramirez, Walter Swardfager, Benjamin Lam, Aparna Bhan, Alex Kiss, Stephen C. Strother, Christian Bocti, Michael Borrie, Howard Chertkow, Richard Frayne, Ging‐Yuek Robin Hsiung, Robert Laforce, Michael D. Noseworthy, Frank S. Prato, Demetrios J. Sahlas, Eric E. Smith, Vesna Sossi, Alexander Thiel, Jean‐Paul Soucy, Jean‐Claude Tardif, Maged Goubran, and Sandra E. Black
Subjects: Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published: 2021

35. Somatostatin Receptor Imaging and Theranostics: Current Practice and Future Prospects

Author: Sonya Youngju Park, Katherine Zukotynski, Ashwin Singh Parihar, Lisa Bodei, Thomas A. Hope, Kalpna Prasad, Corina Millo, Erik Mittra, Nadine Mallak, and Don Wilson
Subjects: Oncology, medicine.medical_specialty, Peptide receptor, Clinical Sciences, 68Ga-DOTANOC, somatostatin, Ga-68-DOTATATE, Internal medicine, Receptors, Medicine, Radiology, Nuclear Medicine and imaging, Receptors, Somatostatin, Precision Medicine, SSTR, Cancer, peptide receptor radionuclide therapy, screening and diagnosis, neuroendocrine neoplasms, business.industry, Somatostatin receptor, Neurosciences, Planar scintigraphy, Pet imaging, 68Ga-DOTATATE, Review article, Neuroendocrine Tumors, Detection, Ga-68-DOTANOC, Nuclear Medicine & Medical Imaging, Somatostatin, Good Health and Well Being, Current practice, Positron-Emission Tomography, Radionuclide therapy, Biomedical Imaging, peptide receptor radionuclide ther-apy, business, The State of the Art, 4.2 Evaluation of markers and technologies
Abstract: A new era of precision diagnostics and therapy for patients with neuroendocrine neoplasms began with the approval of somatostatin receptor (SSTR) radiopharmaceuticals for PET imaging followed by peptide receptor radionuclide therapy (PRRT). With the transition from SSTR-based γ-scintigraphy to PET, the higher sensitivity of the latter raised questions regarding the direct application of the planar scintigraphy-based Krenning score for PRRT eligibility. Also, to date, the role of SSTR PET in response assessment and predicting outcome remains under evaluation. In this comprehensive review article, we discuss the current role of SSTR PET in all aspects of neuroendocrine neoplasms, including its relation to conventional imaging, selection of patients for PRRT, and the current understanding of SSTR PET-based response assessment. We also provide a standardized reporting template for SSTR PET with a brief discussion.
Published: 2021

36. Role of Artificial Intelligence in Theranostics:: Toward Routine Personalized Radiopharmaceutical Therapies

Author: Julia, Brosch-Lenz, Fereshteh, Yousefirizi, Katherine, Zukotynski, Jean-Mathieu, Beauregard, Vincent, Gaudet, Babak, Saboury, Arman, Rahmim, and Carlos, Uribe
Subjects: Artificial Intelligence, Humans, Nuclear Medicine, Precision Medicine, Radiopharmaceuticals, Radiometry
Abstract: We highlight emerging uses of artificial intelligence (AI) in the field of theranostics, focusing on its significant potential to enable routine and reliable personalization of radiopharmaceutical therapies (RPTs). Personalized RPTs require patient-specific dosimetry calculations accompanying therapy. Additionally we discuss the potential to exploit biological information from diagnostic and therapeutic molecular images to derive biomarkers for absorbed dose and outcome prediction; toward personalization of therapies. We try to motivate the nuclear medicine community to expand and align efforts into making routine and reliable personalization of RPTs a reality.
Published: 2021

37. Reduction of cardiac imaging tests during the COVID-19 pandemic: The case of Italy. Findings from the IAEA Non-invasive Cardiology Protocol Survey on COVID-19 (INCAPS COVID)

Author: Dondi, M., Milan, E., Pontone, G., Hirschfeld, C. B., Williams, M., Shaw, L. J., Pynda, Y., Raggi, P., Cerci, R., Vitola, J., Better, N., Villines, T. C., Dorbala, S., Pascual, T. N. B., Giubbini, R., Einstein, A. J., Paez, D., Italy: Domenico Albano, Pierpaolo, Alongi, Gaspare, Arnone, Elisa, Bagatin, Sergio, Baldari, Matteo, Bauckneht, Paolo, Bertelli, Francesco, Bianco, Rachele, Bonfiglioli, Roberto, Boni, Andrea, Bruno, Isabella, Bruno, Elena, Busnardo, Elena, Califaretti, Luca, Camoni, Aldo, Carnevale, Roberta, Casoni, Armando Ugo Cavallo, Giorgio, Cavenaghi, Franca, Chierichetti, Marcello, Chiocchi, Corrado, Cittanti, Mauro, Colletta, Umberto, Conti, Alberto, Cossu, Alberto, Cuocolo, Marco, Cuzzocrea, Maria Luisa De Rimini, Giuseppe De Vincentis, Eleonora Del Giudice, Alberico Del Torto, Veronica Della Tommasina, Rexhep, Durmo, Paola Anna Erba, Laura, Evangelista, Riccardo, Faletti, Evelina, Faragasso, Mohsen, Farsad, Paola, Ferro, Luigia, Florimonte, Viviana, Frantellizzi, Fabio Massimo Fringuelli, Marco, Gatti, Angela, Gaudiano, Alessia, Gimelli, Raffaele, Giubbini, Francesca, Giuffrida, Salvatore, Ialuna, Riccardo, Laudicella, Lucia, Leccisotti, Lucia, Leva, Liga, Riccardo, Carlo, Liguori, Giampiero, Longo, Margherita, Maffione, Maria Elisabetta Mancini, Claudio, Marcassa, Elisa, Milan, Barbara, Nardi, Sara, Pacella, Giovanna, Pepe, Gianluca, Pontone, Sabina, Pulizzi, Natale, Quartuccio, Lucia, Rampin, Fabrizio, Ricci, Pierluigi, Rossini, Giuseppe, Rubini, Vincenzo, Russo, Gian Mauro Sacchetti, Gianmario, Sambuceti, Massimo, Scarano, Roberto, Sciagrà, Massimiliano, Sperandio, Antonella, Stefanelli, Guido, Ventroni, Stefania Zoboli Members from Rest of the World (alphabetically by country and last name) Afghanistan: Mohammad Nawaz Nasery Albania: Artan Goda, Ervina Shirka Algeria: Rabie Benlabgaa, Salah, Bouyoucef, Abdelkader, Medjahedi, Qais Nailli Argentina: Mariela Agolti, Roberto Nicolas Aguero, Maria del Carmen Alak, Lucia Graciela Alberguina, Guillermo, Arroñada, Andrea, Astesiano, Alfredo, Astesiano, Carolina Bas Norton, Pablo, Benteo, Juan, Blanco, Juan Manuel Bonelli, Jose Javier Bustos, Raul, Cabrejas, Jorge, Cachero, Roxana, Campisi, Alejandro, Canderoli, Silvia, Carames, Patrícia, Carrascosa, Ricardo, Castro, Oscar, Cendoya, Luciano Martin Cognigni, Carlos, Collaud, Claudia, Cortes, Javier, Courtis, Daniel, Cragnolino, Mariana, Daicz, Alejandro De La Vega, Silvia Teresa De Maria, Horacio Del Riego, Fernando, Dettori, Alejandro, Deviggiano, Laura, Dragonetti, Mario, Embon, Ruben Emilio Enriquez, Jorge, Ensinas, Fernando, Faccio, Adolfo, Facello, Diego, Garofalo, Ricardo, Geronazzo, Natalia, Gonza, Lucas, Gutierrez, Miguel Angel Guzzo, Victor, Hasbani, Melina, Huerin, Victor, Jäger, Julio Manuel Lewkowicz, Maria Nieves, A López De Munaín, Jose Maria Lotti, Alejandra, Marquez, Osvaldo, Masoli, Osvaldo Horacio Masoli, Edgardo, Mastrovito, Matias, Mayoraz, Graciela Eva Melado, Anibal, Mele, Maria Fernanda Merani, Alejandro Horacio Meretta, Susana, Molteni, Marcos, Montecinos, Eduardo, Noguera, Carlos, Novoa, Claudio Pereyra Sueldo, Sebastian Perez Ascani, Pablo, Pollono, Maria Paula Pujol, Alejandro, Radzinschi, Gustavo, Raimondi, Marcela, Redruello, Marina, Rodríguez, Matías, Rodríguez, Romina Lorena Romero, Arturo Romero Acuña, Federico, Rovaletti, Lucas San Miguel, Lucrecia, Solari, Bruno, Strada, Sonia, Traverso, Sonia Simona Traverzo, Maria del Huerto Velazquez Espeche, Juan Sebastian Weihmuller, Juan, Wolcan, Susana Zeffiro Armenia: Mari Sakanyan Australia: Scott Beuzeville, Raef, Boktor, Patrick, Butler, Jennifer, Calcott, Loretta, Carr, Virgil, Chan, Charles, Chao, Woon, Chong, Mark, Dobson, D'Arne, Downie, Girish, Dwivedi, Barry, Elison, Jean, Engela, Roslyn, Francis, Anand, Gaikwad, Ashok Gangasandra Basavaraj, Bruce, Goodwin, Robert, Greenough, Christian, Hamilton-Craig, Victar, Hsieh, Subodh, Joshi, Karin, Lederer, Kenneth, Lee, Joseph, Lee, John, Magnussen, Nghi, Mai, Gordon, Mander, Fiona, Murton, Dee, Nandurkar, Johanne, Neill, Edward, O'Rourke, Patricia, O'Sullivan, George, Pandos, Kunthi, Pathmaraj, Alexander, Pitman, Rohan, Poulter, Manuja, Premaratne, David, Prior, Lloyd, Ridley, Natalie, Rutherford, Hamid, Salehi, Connor, Saunders, Luke, Scarlett, Sujith, Seneviratne, Deepa, Shetty, Ganesh, Shrestha, Jonathan, Shulman, Vijay, Solanki, Tony, Stanton, Murch, Stuart, Michael, Stubbs, Ian, Swainson, Kim, Taubman, Andrew, Taylor, Paul, Thomas, Steven, Unger, Anthony, Upton, Shankar, Vamadevan, William Van Gaal, Johan, Verjans, Demetrius, Voutnis, Victor, Wayne, Peter, Wilson, David, Wong, Kirby, Wong, John Younger Austria: Gudrun Feuchtner, Siroos, Mirzaei, Konrad Weiss Belarus: Natallia Maroz-Vadalazhskaya Belgium: Olivier Gheysens, Filip, Homans, Rodrigo, Moreno-Reyes, Agnès, Pasquet, Veronique, Roelants, Van De Heyning Bolivia: Raúl Araujo Ríos Bosnia - Herzegovina: Valentina Soldat-Stankovic, Caroline M., Sinisa Stankovic Brazil: Maria Helena Albernaz Siqueira, Augusto, Almeida, Paulo Henrique Alves Togni, Jose Henrique Andrade, Luciana, Andrade, Carlos, Anselmi, Roberta, Araújo, Guilherme, Azevedo, Sabbrina, Bezerra, Rodrigo, Biancardi, Gabriel Blacher Grossman, Simone, Brandão, Diego Bromfman Pianta, Lara, Carreira, Bruno, Castro, Tien, Chang, Fernando Cunali, Jr., Roberto, Cury, Roberto, Dantas, Fernando de Amorim Fernandes, Andrea De Lorenzo, Robson De Macedo Filho, Fernanda, Erthal, Fabio, Fernandes, Juliano, Fernandes, Thiago Ferreira De Souza, Wilson Furlan Alves, Bruno, Ghini, Luiz, Goncalves, Ilan, Gottlieb, Marcelo, Hadlich, Vinícius, Kameoka, Ronaldo, Lima, Adna, Lima, Rafael Willain Lopes, Ricardo Machado, e Silva, Tiago, Magalhães, Fábio Martins Silva, Luiz Eduardo Mastrocola, Fábio, Medeiros, José Claudio Meneghetti, Vania, Naue, Danilo, Naves, Roberto, Nolasco, Cesar, Nomura, Joao Bruno Oliveira, Eduardo, Paixao, Filipe Penna De Carvalho, Ibraim, Pinto, Priscila, Possetti, Mayra, Quinta, Rodrigo Rizzo Nogueira Ramos, Ricardo, Rocha, Alfredo, Rodrigues, Carlos, Rodrigues, Leila, Romantini, Adelina, Sanches, Sara, Santana, Leonardo Sara da Silva, Paulo, Schvartzman, Cristina Sebastião Matushita, Tiago, Senra, Afonso, Shiozaki, Maria Eduarda Menezes de Siqueira, Cristiano, Siqueira, Paola, Smanio, Carlos Eduardo Soares, José Soares Junior, Marcio Sommer Bittencourt, Bernardo, Spiro, Cláudio Tinoco Mesquita, Jorge, Torreao, Rafael, Torres, Marly, Uellendahl, Guilherme Urpia Monte, Otávia, Veríssimo, Estevan Vieira Cabeda, Felipe Villela Pedras, Roberto, Waltrick, Marcello Zapparoli Brunei Darussalam: Hamid Naseer Bulgaria: Marina Garcheva-Tsacheva, Irena Kostadinova Cambodia: Youdaline Theng Canada: Gad Abikhzer, Rene, Barette, Benjamin, Chow, Dominique, Dabreo, Matthias, Friedrich, Ria, Garg, Mohammed Nassoh Hafez, Chris, Johnson, Marla, Kiess, Jonathon, Leipsic, Eugene, Leung, Robert, Miller, Anastasia, Oikonomou, Stephan, Probst, Idan, Roifman, Gary, Small, Vikas, Tandon, Adwait, Trivedi, James, White, Katherine Zukotynski Chile: Jose Canessa, Gabriel Castro Muñoz, Carmen, Concha, Pablo, Hidalgo, Cesar, Lovera, Teresa, Massardo, Luis Salazar Vargas Colombia: Pedro Abad, Harold, Arturo, Sandra, Ayala, Luis, Benitez, Alberto, Cadena, Carlos, Caicedo, Antonio Calderón Moncayo, Sharon, Gomez, Gutierrez Villamil, Claudia T., Claudia, Jaimes, Juan, Londoño, Juan Luis Londoño Blair, Luz, Pabon, Mauricio, Pineda, Juan Carlos Rojas, Diego, Ruiz, Manuel Valencia Escobar, Andres, Vasquez, Damiana, Vergel, Alejandro Zuluaga Costa Rica: Isabel Berrocal Gamboa, Gabriel, Castro, Ulises, González, Croatia: Ana Baric, Tonci, Batinic, Maja, Franceschi, Maja Hrabak Paar, Mladen, Jukic, Petar, Medakovic, Viktor, Persic, Marina, Prpic, Ante Punda Cuba: Juan Felipe Batista, Juan Manuel Gómez Lauchy, Yamile Marcos Gutierrez, Rayner, Menéndez, Amalia, Peix, Luis Rochela Cyprus: Christoforos Panagidis, Ioannis Petrou Czech Republic: Vaclav Engelmann, Milan, Kaminek, Vladimír, Kincl, Otto, Lang, Milan Simanek Denmark: Jawdat Abdulla, Morten, Bøttcher, Mette, Christensen, Lars Christian Gormsen, Philip, Hasbak, Søren, Hess, Paw, Holdgaard, Allan, Johansen, Kasper, Kyhl, Bjarne Linde Norgaard, Kristian Altern Øvrehus, Niels Peter Rønnow Sand, Rolf, Steffensen, Anders, Thomassen, Bo Zerahn Dominican Republic: Alfredo Perez Ecuador: Giovanni Alejandro Escorza Velez, Mayra Sanchez Velez Egypt: Islam Shawky Abdel Aziz, Mahasen, Abougabal, Taghreed, Ahmed, Adel, Allam, Ahmed, Asfour, Mona, Hassan, Alia, Hassan, Ahmed, Ibrahim, Sameh, Kaffas, Ahmed, Kandeel, Mohamed Mandour Ali, Ahmad, Mansy, Hany, Maurice, Sherif, Nabil, Mahmoud Shaaban El Salvador: Ana Camila Flores Estonia: Anne Poksi Finland: Juhani Knuuti, Velipekka, Kokkonen, Martti, Larikka, Valtteri Uusitalo France: Matthieu Bailly, Samuel, Burg, Jean-François, Deux, Vincent, Habouzit, Fabien, Hyafil, Olivier, Lairez, Franck, Proffit, Hamza, Regaieg, Laure, Sarda-Mantel, Schneider Ghana: Harold Ayetey Greece: George Angelidis, Vania Tacher Germany: Roman P., Aikaterini, Archontaki, Sofia, Chatziioannou, Ioannis, Datseris, Christina, Fragkaki, Panagiotis, Georgoulias, Sophia, Koukouraki, Maria, Koutelou, Eleni, Kyrozi, Evangelos, Repasos, Petros, Stavrou, Pipitsa Valsamaki Guatemala: Carla Gonzalez, Goleat Gutierrez Honduras: Alejandro Maldonado Hungary: Klara Buga, Ildiko, Garai, Pál, Maurovich-Horvat, Erzsébet, Schmidt, Balint, Szilveszter, Edit Várady India: Nilesh Banthia, Jinendra Kumar Bhagat, Rishi, Bhargava, Vivek, Bhat, Mona, Bhatia, Partha, Choudhury, Vijay Sai Chowdekar, Aparna, Irodi, Shashank, Jain, Elizabeth, Joseph, Sukriti, Kumar, Prof Dr Girijanandan Mahapatra, Deepanjan, Mitra, Bhagwant Rai Mittal, Ahmad, Ozair, Chetan, Patel, Tapan, Patel, Ravi, Patel, Shivani, Patel, Sudhir, Saxena, Shantanu, Sengupta, Santosh, Singh, Bhanupriya, Singh, Ashwani, Sood, Atul Verma Indonesia: Erwin Affandi, Padma Savenadia Alam, Edison, Edison, Gani, Gunawan, Habusari, Hapkido, Basuki, Hidayat, Aulia, Huda, Anggoro Praja Mukti, Djoko, Prawiro, Erwin Affandi Soeriadi, Hilman Syawaluddin Iraq: Amjed Albadr Islamic Republic of Iran: Majid Assadi, Farshad, Emami, Golnaz, Houshmand, Majid, Maleki, Maryam Tajik Rostami, Seyed Rasoul Zakavi Israel: Eed Abu Zaid, Svetlana, Agranovich, Yoav, Arnson, Rachel, Bar-Shalom, Alex, Frenkel, Galit, Knafo, Rachel, Lugassi, Israel Shlomo Maor Moalem, Maya, Mor, Noam, Muskal, Sara, Ranser, Aryeh Shalev Jamaica: Dainia Baugh, Duane, Chambers, Ernest, Madu, Felix Nunura Japan: Hiroshi Asano, Chimura Misato Chimura, Shinichiro, Fujimoto, Koichiro, Fujisue, Tomohisa, Fukunaga, Yoshimitsu, Fukushima, Kae, Fukuyama, Jun, Hashimoto, Yasutaka, Ichikawa, Nobuo, Iguchi, Masamichi, Imai, Anri, Inaki, Hayato, Ishimura, Satoshi, Isobe, Toshiaki, Kadokami, Takao, Kato, Takashi, Kudo, Shinichiro, Kumita, Hirotaka, Maruno, Hiroyuki, Mataki, Masao, Miyagawa, Ryota, Morimoto, Masao, Moroi, Shigeki, Nagamachi, Kenichi, Nakajima, Tomoaki, Nakata, Ryo, Nakazato, Mamoru, Nanasato, Masanao, Naya, Takashi, Norikane, Yasutoshi, Ohta, Satoshi, Okayama, Atsutaka, Okizaki, Yoichi, Otomi, Hideki, Otsuka, Masaki, Saito, Sakata Yasushi Sakata, Masayoshi, Sarai, Daisuke, Sato, Shinya, Shiraishi, Yoshinobu, Suwa, Kentaro, Takanami, Kazuya, Takehana, Junichi, Taki, Nagara, Tamaki, Yasuyo, Taniguchi, Hiroki, Teragawa, Nobuo, Tomizawa, Kenichi, Tsujita, Kyoko, Umeji, Yasushi, Wakabayashi, Shinichiro, Yamada, Shinya, Yamazaki, Tatsuya Yoneyama Jordan: Mohammad Rawashdeh Kazakhstan: Daultai Batyrkhanov, Tairkhan Dautov Kenya: Khalid Makhdomi, Kevin Ombati Kuwait: Faridah Alkandari, Masoud Garashi Lao People's Democratic Republic: Tchoyoson Lim Coie, Sonexay Rajvong Latvia: Artem Kalinin, Marika Kalnina Lebanon: Mohamad Haidar Lithuania: Renata Komiagiene, Giedre, Kviecinskiene, Mindaugas, Mataciunas, Karim Malta: Luise Reichmuth, Donatas Vajauskas Luxembourg: Christian Picard Malaysia: Noor Khairiah A., Anthony Samuel Mauritius: Mohammad Aaftaab Allarakha, Ambedhkar Shantaram Naojee Mexico: Erick Alexanderson-Rosas, Erika, Barragan, Alejandro Becerril González-Montecinos, Manuel, Cabada, Daniel Calderon Rodriguez, Isabel, Carvajal-Juarez, Violeta, Cortés, Filiberto, Cortés, Erasmo De La Peña, Manlio, Gama-Moreno, Luis, González, Nelsy Gonzalez Ramírez, Moisés, Jiménez-Santos, Luis, Matos, Edgar, Monroy, Martha, Morelos, Mario, Ornelas, Jose Alberto Ortga Ramirez, Andrés, Preciado-Anaya, Óscar Ulises Preciado-Gutiérrez, Adriana Puente Barragan, Sandra Graciela Rosales Uvera, Sigelinda, Sandoval, Miguel Santaularia Tomas, Sierra-Galan, Lilia M., Silvia, Siu, Enrique, Vallejo, Mario Valles Monaco: Marc Faraggi Mongolia: Erdenechimeg Sereegotov Montenegro: Srdja Ilic Morocco: Nozha Ben-Rais, Nadia Ismaili Alaoui, Sara Taleb Myanmar: Khin Pa Pa Myo, Phyo Si Thu Nepal: Ram Kumar Ghimire, Bijoy Rajbanshi Netherlands: Peter Barneveld, Andor, Glaudemans, Jesse, Habets, Klaas Pieter Koopmans, Jeroen, Manders, Stefan, Pool, Arthur, Scholte, Asbjørn, Scholtens, Riemer, Slart, Paul, Thimister, Erik-Jan Van Asperen, Niels, Veltman, Derk, Verschure, Nils Wagenaar New Zealand: John Edmond, Chris, Ellis, Kerryanne, Johnson, Ross, Keenan, Shaw Hua (Anthony) Kueh, Christopher, Occleshaw, Alexander, Sasse, Andrew, To, Niels Van Pelt, Calum Young Nicaragua: Teresa Cuadra, Hector Bladimir Roque Vanegas Niger: Idrissa Adamou Soli, Djibrillou Moussa Issoufou Nigeria: Tolulope Ayodele, Chibuzo, Madu, Yetunde Onimode Norway: Elen Efros-Monsen, Signe Helene Forsdahl, Jenni-Mari Hildre Dimmen, Arve, Jørgensen, Isabel, Krohn, Pål, Løvhaugen, Anders Tjellaug Bråten Oman: Humoud Al Dhuhli, Faiza Al Kindi, Naeema, Al-Bulushi, Zabah, Jawa, Naima Tag Pakistan: Muhammad Shehzad Afzal, Shazia, Fatima, Muhammad Numair Younis, Musab, Riaz, Mohammad Saadullah Panama: Yariela Herrera Papua New Guinea: Dora Lenturut-Katal Paraguay: Manuel Castillo Vázquez, José Ortellado People's Republic of Bangladesh: Afroza Akhter People's Republic of China: Dianbo Cao, Stephen, Cheung, Dai, Xu, Lianggeng, Gong, Dan, Han, Yang, Hou, Caiying, Li, Tao, Li, Dong, Li, Sijin, Li, Jinkang, Liu, Hui, Liu, Bin, Lu, Ming Yen Ng, Kai, Sun, Gongshun, Tang, Jian, Wang, Ximing, Wang, Zhao-Qian, Wang, Yining, Wang, Yifan, Wang, Jiang, Wu, Zhifang, Wu, Liming, Xia, Jiangxi, Xiao, Lei, Xu, Youyou, Yang, Yin, Wu, Jianqun, Yu, Yuan, Li, Tong, Zhang, Longjiang, Zhang, Yong-Gao, Zhang, Xiaoli, Zhang, Li Zhu Peru: Ana Alfaro Philippines: Paz Abrihan, Asela, Barroso, Eric, Cruz, Marie Rhiamar Gomez, Vincent Peter Magboo, John Michael Medina, Jerry, Obaldo, Davidson, Pastrana, Christian Michael Pawhay, Alvin, Quinon, Jeanelle Margareth Tang, Bettina, Tecson, Kristine Joy Uson, Mila Uy Poland: Magdalena Kostkiewicz, Jolanta Kunikowska Portugal: Nuno Bettencourt, Guilhermina, Cantinho, Antonio Ferreira Qatar: Ghulam Syed Republic of Ireland: Samer Arnous, Said, Atyani, Angela, Byrne, Tadhg, Gleeson, David, Kerins, Conor, Meehan, David, Murphy, Mark, Murphy, John, Murray, Julie O'Brien Republic of Korea: Ji-In Bang, Henry, Bom, Sang-Geon, Cho, Chae Moon Hong, Su Jin Jang, Yong Hyu Jeong, Won Jun Kang, Ji-Young, Kim, Jaetae, Lee, Chang Kyeong Namgung, Young, So, Kyoung Sook Won Republic of North Macedonia: Venjamin Majstorov, Marija Vavlukis Republic of Slovenia: Barbara Gužic Salobir, Monika Štalc Romania: Theodora Benedek, Imre, Benedek, Raluca, Mititelu, Claudiu Adrian Stan Russian Federation: Alexey Ansheles, Olga, Dariy, Olga, Drozdova, Nina, Gagarina, Vsevolod Milyevich Gulyaev, Irina, Itskovich, Anatoly, Karalkin, Alexander, Kokov, Ekaterina, Migunova, Viktor, Pospelov, Daria, Ryzhkova, Guzaliya, Saifullina, Svetlana, Sazonova, Vladimir, Sergienko, Irina, Shurupova, Tatjana, Trifonova, Wladimir Yurievich Ussov, Margarita, Vakhromeeva, Nailya, Valiullina, Konstantin, Zavadovsky, Kirill Zhuravlev Saudi Arabia: Mirvat Alasnag, Subhani Okarvi Serbia: Dragana Sobic Saranovic Singapore: Felix Keng, Jia Hao Jason See, Ramkumar, Sekar, Min Sen Yew Slovak Republic: Andrej Vondrak South Africa: Shereen Bejai, George, Bennie, Ria, Bester, Gerrit, Engelbrecht, Osayande, Evbuomwan, Harlem, Gongxeka, Magritha Jv Vuuren, Mitchell, Kaplan, Purbhoo, Khushica, Hoosen, Lakhi, Lizette, Louw, Nico, Malan, Katarina, Milos, Moshe, Modiselle, Stuart, More, Mathava, Naidoo, Leonie, Scholtz, Mboyo Vangu Spain: Santiago Aguadé-Bruix, Isabel, Blanco, Antonio, Cabrera, Alicia, Camarero, Irene, Casáns-Tormo, Hug, Cuellar-Calabria, Albert, Flotats, Maria Eugenia Fuentes Cañamero, María Elia García, Amelia, Jimenez-Heffernan, Rubén, Leta, Javier Lopez Diaz, Luis, Lumbreras, Juan Javier Marquez-Cabeza, Francisco, Martin, Anxo Martinez de Alegria, Francisco, Medina, Maria Pedrera Canal, Virginia, Peiro, Virginia, Pubul-Nuñez, Juan Ignacio Rayo Madrid, Cristina Rodríguez Rey, Ricardo Ruano Perez, Joaquín, Ruiz, Gertrudis Sabatel Hernández, Ana, Sevilla, Nahla Zeidán Sri Lanka: Damayanthi Nanayakkara, Chandraguptha Udugama Sweden: Magnus Simonsson Switzerland: Hatem Alkadhi, Ronny Ralf Buechel, Peter, Burger, Luca, Ceriani, Bart De Boeck, Christoph, Gräni, Alix Juillet de Saint Lager Lucas, Kamani, Christel H., Nadine, Kawel-Boehm, Robert, Manka, Prior, John O., Axel, Rominger, Jean-Paul Vallée Thailand: Benjapa Khiewvan, Teerapon, Premprabha, Tanyaluck Thientunyakit Tunisia: Ali Sellem Turkey: Kemal Metin Kir, Haluk Sayman Uganda: Mugisha Julius Sebikali, Zerida Muyinda Ukraine: Yaroslav Kmetyuk, Pavlo, Korol, Olena, Mykhalchenko, Volodymyr, Pliatsek, Maryna Satyr United Arab Emirates: Batool Albalooshi, Mohamed Ismail Ahmed Hassan United Kingdom: Jill Anderson, Punit, Bedi, Thomas, Biggans, Anda, Bularga, Russell, Bull, Rajesh, Burgul, John-Paul, Carpenter, Duncan, Coles, David, Cusack, Aparna, Deshpande, John, Dougan, Timothy, Fairbairn, Alexia, Farrugia, Deepa, Gopalan, Alistair, Gummow, Prasad Guntur Ramkumar, Mark, Hamilton, Mark, Harbinson, Thomas, Hartley, Benjamin, Hudson, Nikhil, Joshi, Michael, Kay, Andrew, Kelion, Azhar, Khokhar, Jamie, Kitt, Ken, Lee, Chen, Low, Sze Mun Mak, Ntouskou, Marousa, Jon, Martin, Elisa, Mcalindon, Leon, Menezes, Gareth, Morgan-Hughes, Alastair, Moss, Anthony, Murray, Edward, Nicol, Dilip, Patel, Charles, Peebles, Francesca, Pugliese, Jonathan Carl Luis Rodrigues, Christopher, Rofe, Nikant, Sabharwal, Rebecca, Schofield, Thomas, Semple, Naveen, Sharma, Peter, Strouhal, Deepak, Subedi, William, Topping, Katharine, Tweed, Jonathan Weir-Mccall United States of America: Suhny Abbara, Taimur, Abbasi, Brian, Abbott, Shady, Abohashem, Sandra, Abramson, Tarek, Al-Abboud, Mouaz, Al-Mallah, Omar, Almousalli, Karthikeyan, Ananthasubramaniam, Mohan Ashok Kumar, Jeffrey, Askew, Lea, Attanasio, Mallory, Balmer-Swain, Bayer, Richard R., Adam, Bernheim, Sabha, Bhatti, Erik, Bieging, Ron, Blankstein, Stephen, Bloom, Sean, Blue, David, Bluemke, Andressa, Borges, Kelley, Branch, Paco, Bravo, Jessica, Brothers, Matthew, Budoff, Renée, Bullock-Palmer, Angela, Burandt, Burke, Floyd W., Kelvin, Bush, Candace, Candela, Elizabeth, Capasso, Joao, Cavalcante, Donald, Chang, Saurav, Chatterjee, Yiannis, Chatzizisis, Michael, Cheezum, Tiffany, Chen, Jennifer, Chen, Marcus, Chen, Andrew, Choi, James, Clarcq, Ayreen, Cordero, Matthew, Crim, Sorin, Danciu, Bruce, Decter, Nimish, Dhruva, Neil, Doherty, Rami, Doukky, Anjori, Dunbar, William, Duvall, Rachael, Edwards, Kerry, Esquitin, Husam, Farah, Emilio, Fentanes, Maros, Ferencik, Daniel, Fisher, Daniel, Fitzpatrick, Cameron, Foster, Tony, Fuisz, Michael, Gannon, Lori, Gastner, Myron, Gerson, Brian, Ghoshhajra, Alan, Goldberg, Brian, Goldner, Jorge, Gonzalez, Rosco, Gore, Sandra, Gracia-López, Fadi, Hage, Agha, Haider, Sofia, Haider, Yasmin, Hamirani, Karen, Hassen, Mallory, Hatfield, Carolyn, Hawkins, Katie, Hawthorne, Nicholas, Heath, Robert, Hendel, Phillip, Hernandez, Gregory, Hill, Stephen, Horgan, Jeff, Huffman, Lynne, Hurwitz, Ami, Iskandrian, Rajesh, Janardhanan, Christine, Jellis, Scott, Jerome, Dinesh, Kalra, Summanther, Kaviratne, Fernando, Kay, Faith, Kelly, Omar, Khalique, Mona, Kinkhabwala, George Kinzfogl Iii, Jacqueline, Kircher, Rachael, Kirkbride, Michael, Kontos, Anupama, Kottam, Joseph, Krepp, Jay, Layer, Steven, H Lee, Jeffrey, Leppo, John, Lesser, Steve, Leung, Howard, Lewin, Diana, Litmanovich, Yiyan, Liu, Juan, Lopez-Mattei, Kathleen, Magurany, Jeremy, Markowitz, Amanda, Marn, Stephen, E Matis, Michael, Mckenna, Tony, Mcrae, Fernando, Mendoza, Michael, Merhige, David, Min, Chanan, Moffitt, Karen, Moncher, Warren, Moore, Shamil, Morayati, Michael, Morris, Mahmud, Mossa-Basha, Zorana, Mrsic, Venkatesh, Murthy, Prashant, Nagpal, Kyle, Napier, Jagat, Narula, Katarina, Nelson, Prabhjot, Nijjar, Medhat, Osman, Purvi, Parwani, Edward, Passen, Amit, Patel, Pravin, Patil, Ryan, Paul, Lawrence, Phillips, Venkateshwar, Polsani, Rajaram, Poludasu, Brian, Pomerantz, Thomas, Porter, Ryan, Prentice, Amit, Pursnani, Mark, Rabbat, Suresh, Ramamurti, Florence, Rich, Hiram Rivera Luna, Austin, Robinson, Kim, Robles, Cesar, Rodríguez, Mark, Rorie, John, Rumberger, Raymond, Russell, Philip, Sabra, Diego, Sadler, Mary, Schemmer, Joseph Schoepf, U., Samir, Shah, Nishant, Shah, Sujata, Shanbhag, Gaurav, Sharma, Steven, Shayani, Jamshid, Shirani, Pushpa, Shivaram, Steven, Sigman, Mitch, Simon, Ahmad, Slim, David, Smith, Alexandra, Smith, Prem, Soman, Aditya, Sood, Monvadi Barbara Srichai-Parsia, James, Streeter, Albert, T, Ahmed, Tawakol, Dustin, Thomas, Randall, Thompson, Tara, Torbet, Desiree, Trinidad, Shawn, Ullery, Samuel, Unzek, Seth, Uretsky, Srikanth, Vallurupalli, Vikas, Verma, Alfonso, Waller, Ellen, Wang, Parker, Ward, Gaby, Weissman, George, Wesbey, Kelly, White, David, Winchester, David, Wolinsky, Sandra, Yost, Michael Zgaljardic Uruguay: Omar Alonso, Mario, Beretta, Rodolfo, Ferrando, Miguel, Kapitan, Fernando Mut Uzbekistan: Omoa Djuraev, Gulnora Rozikhodjaeva Vietnam: Ha Le Ngoc, Son Hong Mai, and Xuan Canh Nguyen
Subjects: medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Cardiology, Settore MED/11 - Malattie dell'Apparato Cardiovascolare, COVID-19, Cardiac imaging, Cardiovascular disease, Article, cardiac imaging, Healthcare delivery, cardiovascular disease, Intensive care, Surveys and Questionnaires, Health care, Pandemic, medicine, Humans, Pandemics, Protocol (science), business.industry, SARS-CoV-2, Non invasive, Italy, humans, pandemics, surveys and questionnaires, cardiology, Emergency medicine, Cardiology and Cardiovascular Medicine, business
Abstract: Background: In early 2020, COVID-19 massively hit Italy, earlier and harder than any other European country. This caused a series of strict containment measures, aimed at blocking the spread of the pandemic. Healthcare delivery was also affected when resources were diverted towards care of COVID-19 patients, including intensive care wards. Aim of the study: The aim is assessing the impact of COVID-19 on cardiac imaging in Italy, compare to the Rest of Europe (RoE) and the World (RoW). Methods: A global survey was conducted in May–June 2020 worldwide, through a questionnaire distributed online. The survey covered three periods: March and April 2020, and March 2019. Data from 52 Italian centres, a subset of the 909 participating centres from 108 countries, were analyzed. Results: In Italy, volumes decreased by 67% in March 2020, compared to March 2019, as opposed to a significantly lower decrease (p < 0.001) in RoE and RoW (41% and 40%, respectively). A further decrease from March 2020 to April 2020 summed up to 76% for the North, 77% for the Centre and 86% for the South. When compared to the RoE and RoW, this further decrease from March 2020 to April 2020 in Italy was significantly less (p = 0.005), most likely reflecting the earlier effects of the containment measures in Italy, taken earlier than anywhere else in the West. Conclusions: The COVID-19 pandemic massively hit Italy and caused a disruption of healthcare services, including cardiac imaging studies. This raises concern about the medium- and long-term consequences for the high number of patients who were denied timely diagnoses and the subsequent lifesaving therapies and procedures.
Published: 2021

38. Prostate Cancer Lymphangitic Pulmonary Carcinomatosis

Author: Eric Winquist, Steve Y. Cho, Hossein Jadvar, Katherine Zukotynski, Chun K. Kim, and Kylea Potvin
Subjects: Male, medicine.medical_specialty, Lung Neoplasms, medicine.medical_treatment, Gastroenterology, 030218 nuclear medicine & medical imaging, Androgen deprivation therapy, 03 medical and health sciences, chemistry.chemical_compound, Prostate cancer, 0302 clinical medicine, Fluorodeoxyglucose F18, Prednisone, Positron Emission Tomography Computed Tomography, Internal medicine, Humans, Urea, Medicine, Radiology, Nuclear Medicine and imaging, PET-CT, Chemotherapy, business.industry, Lysine, Abiraterone acetate, Prostatic Neoplasms, Cancer, General Medicine, Middle Aged, medicine.disease, chemistry, Docetaxel, 030220 oncology & carcinogenesis, Disease Progression, business, medicine.drug
Abstract: A 51-year-old man diagnosed with high-grade, high-volume metastatic castration-sensitive prostate adenocarcinoma received pelvic radiation, androgen deprivation therapy, and intravenous docetaxel. Serum prostate-specific antigen became undetectable following treatment. Within a year, his cancer progressed to castration-resistant disease, and he was treated with oral abiraterone acetate 1000 mg and prednisone 10 mg daily. Despite this, the serum prostate-specific antigen rose from 0.03 to 1.39 μg/L, and F-DCFPyL and F-FDG PET/CT showed progression. While F-DCFPyL uptake may be seen in aggressive disease, F-FDG portends poor prognosis. Despite intravenous platinum-based chemotherapy, the patient died of respiratory failure 20 months after his initial diagnosis.
Published: 2020

39. Clinical and Technical Considerations for Brain PET Imaging for Dementia

Author: Katherine Zukotynski, Sulantha Mathotaarachchi, Rathan M. Subramaniam, Shelley Acuff, and Dustin Osborne
Subjects: Amyloid, medicine.medical_specialty, Guidelines as Topic, 030218 nuclear medicine & medical imaging, Food and drug administration, 03 medical and health sciences, 0302 clinical medicine, Fluorodeoxyglucose F18, Positron Emission Tomography Computed Tomography, mental disorders, medicine, Humans, Dementia, Radiology, Nuclear Medicine and imaging, Drug Approval, Radiological and Ultrasound Technology, United States Food and Drug Administration, business.industry, Brain, Biological Transport, General Medicine, Pet imaging, medicine.disease, United States, Clinical trial, Radiology, Radiopharmaceuticals, business
Abstract: The number of cases of dementia has dramatically increased over the last decade. Imaging of the brain with PET has been used for many years, but in the past decade the radiopharmaceuticals and technology available for imaging dementia have vastly improved. In recent years, the U.S. Food and Drug Administration has approved 3 PET radiopharmaceuticals for detecting amyloid in brain, and tau PET radiopharmaceuticals are being investigated in clinical trials for use in dementia imaging. This paper will discuss different forms of dementia that can be imaged with PET, review common radiopharmaceuticals used for imaging dementia, and provide technical recommendations for performing the studies.
Published: 2019

40. The Use of Random Forests to Classify Amyloid Brain PET

Author: Jean-Paul Soucy, Alexander Thiel, Howard Chertkow, Robert Laforce, Katherine Zukotynski, Vincent Gaudet, Robin Hsiung, Vesna Sossi, Maged Goubran, Eric E. Smith, Sandra E. Black, Demetrios J. Sahlas, Christian Bocti, Michael Borrie, Frank S. Prato, Sabrina Adamo, Jean-Claude Tardif, Richard Frayne, Michael D. Noseworthy, Christopher J.M. Scott, and Phillip H. Kuo
Subjects: Male, Amyloid, Neuroimaging, Sensitivity and Specificity, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Alzheimer Disease, mental disorders, Image Processing, Computer-Assisted, Humans, Medicine, Cognitive Dysfunction, Radiology, Nuclear Medicine and imaging, Prospective Studies, Aged, Aged, 80 and over, Aniline Compounds, business.industry, Brain, Pattern recognition, General Medicine, Middle Aged, Random forest, Data set, Amyloid deposition, Positron-Emission Tomography, 030220 oncology & carcinogenesis, Ethylene Glycols, Female, Supervised Machine Learning, Artificial intelligence, business
Abstract: To evaluate random forests (RFs) as a supervised machine learning algorithm to classify amyloid brain PET as positive or negative for amyloid deposition and identify key regions of interest for stratification.The data set included 57 baseline F-florbetapir (Amyvid; Lilly, Indianapolis, IN) brain PET scans in participants with severe white matter disease, presenting with either transient ischemic attack/lacunar stroke or mild cognitive impairment from early Alzheimer disease, enrolled in a multicenter prospective observational trial. Scans were processed using the MINC toolkit to generate SUV ratios, normalized to cerebellar gray matter, and clinically read by 2 nuclear medicine physicians with interpretation based on consensus (35 negative, 22 positive). SUV ratio data and clinical reads were used for supervised training of an RF classifier programmed in MATLAB.A 10,000-tree RF, each tree using 15 randomly selected cases and 20 randomly selected features (SUV ratio per region of interest), with 37 cases for training and 20 cases for testing, had sensitivity = 86% (95% confidence interval [CI], 42%-100%), specificity = 92% (CI, 64%-100%), and classification accuracy = 90% (CI, 68%-99%). The most common features at the root node (key regions for stratification) were (1) left posterior cingulate (1039 trees), (2) left middle frontal gyrus (1038 trees), (3) left precuneus (857 trees), (4) right anterior cingulate gyrus (655 trees), and (5) right posterior cingulate (588 trees).Random forests can classify brain PET as positive or negative for amyloid deposition and suggest key clinically relevant, regional features for classification.
Published: 2019

41. Machine Learning in Nuclear Medicine: Part 1—Introduction

Author: Pedro Rosa-Neto, Sulantha Mathotaarachchi, Carlos Uribe, Vincent Gaudet, Francois Benard, Katherine Zukotynski, Sandra E. Black, and Kenneth C. Smith
Subjects: Computer science, business.industry, Context (language use), Models, Theoretical, Machine learning, computer.software_genre, Field (computer science), 030218 nuclear medicine & medical imaging, Machine Learning, 03 medical and health sciences, Critical appraisal, 0302 clinical medicine, 030220 oncology & carcinogenesis, Humans, Radiology, Nuclear Medicine and imaging, Artificial intelligence, Nuclear Medicine, Nuclear medicine, business, computer
Abstract: This article, the first in a 2-part series, provides an introduction to machine learning (ML) in a nuclear medicine context. This part addresses the history of ML and describes common algorithms, with illustrations of when they can be helpful in nuclear medicine. Part 2 focuses on current contributions of ML to our field, addresses future expectations and limitations, and provides a critical appraisal of what ML can and cannot do.
Published: 2019

42. Use of a Qualification Phantom for PET Brain Imaging in a Multicenter Consortium: A Collaboration Between the Pediatric Brain Tumor Consortium and the SNMMI Clinical Trials Network

Author: Arzu Onar-Thomas, Frederic H. Fahey, Paul E. Christian, Christina Kiss, Katherine Zukotynski, Tina Young Poussaint, Bonnie Clarke, and Briana Sexton-Stallone
Subjects: Pediatric Brain Tumor Consortium, Image quality, Imaging phantom, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Neuroimaging, Image Processing, Computer-Assisted, medicine, Humans, Radiology, Nuclear Medicine and imaging, Child, Intersectoral Collaboration, Image resolution, Societies, Medical, Clinical Trials as Topic, medicine.diagnostic_test, Brain Neoplasms, Phantoms, Imaging, Small volume, business.industry, Neurology, Positron emission tomography, Positron-Emission Tomography, 030220 oncology & carcinogenesis, Nuclear Medicine, Molecular imaging, Nuclear medicine, business
Abstract: The purpose of this study was to assess image quality and quantitative brain PET across a multicenter consortium. Methods: All academic centers and children’s hospitals in the Pediatric Brain Tumor Consortium (PBTC) scanned a phantom developed by the Society of Nuclear Medicine and Molecular Imaging Clinical Trials Network (SNMMI CTN) for the validation of brain PET studies associated with clinical trials. The phantom comprises 2 separate, fillable sections: a resolution/uniformity section and a clinical simulation section. The resolution/uniformity section is a cylinder 12.7 cm long and 20 cm in diameter; spatial resolution is evaluated subjectively with 2 sets of rods (hot and cold) of varying diameter (4.0, 5.0, 6.25, 7.81, 9.67, and 12.2 mm) and spacing (twice the rod diameter). The clinical simulation section simulates a transverse section of midbrain with ventricles and gray and white matter compartments. If properly filled, hot rods have a 4:1 target-to-background ratio, and gray–to–white matter sections have a 4:1 ratio. Uniformity and image quality were evaluated using the SUV in a small volume of interest as well as subjectively by 2 independent observers using a 4-point scale. Results: Eleven PBTC sites scanned the phantom on 13 PET scanners. The phantom’s complexity led to suboptimal filling, particularly of the hot rod section, in 5 sites. The SUV in the uniformity section was within 10% of unity on only 5 of 13 scanners, although 12 of 13 were subjectively judged to have very good to excellent uniformity. Four of 6 hot rods were discernable by all 13 scanners, whereas 3 of 6 cold rods were discernable by only 5 scanners. Four of 13 scanners had a gray–to–white matter ratio between 3.0 and 5.0 (4.0 is truth); however, 11 of 13 scanners were subjectively judged to have very good or excellent image quality. Conclusion: Eleven sites were able to image a powerful phantom developed by the SNMMI CTN that evaluated image uniformity, spatial resolution, and image quality of brain PET. There was considerable variation in PET data across the PBTC sites, possibly resulting from variations in scanning across the sites due to challenges in filling the phantom.
Published: 2018

43. Case - Prostate-specific antigen bounce: A pitfall in prostate-specific membrane antigen positron emission tomography/computed tomography interpretation

Author: Irina Rachinsky, Wei Liu, Glenn Bauman, Golmehr Sistani, Katherine Zukotynski, and Victor P. Pedro
Subjects: medicine.medical_specialty, medicine.diagnostic_test, business.industry, Urology, medicine.medical_treatment, Brachytherapy, Local failure, PSA bounce, urologic and male genital diseases, medicine.disease, Prostate cancer, Prostate-specific antigen, Oncology, Positron emission tomography, medicine, Glutamate carboxypeptidase II, Residents’ Room, Radiology, business, Positron Emission Tomography-Computed Tomography
Abstract: Prostate-specific antigen (PSA) “bounce,” a transient rise in PSA post-therapy, can happen after either brachytherapy (BT) or external beam radiation therapy (EBRT); however, it is more common in the former case. In general, PSA bounce tends to occur within 2–3 years of treatment, rarely exceeds levels of 2–3 ng/ml above the nadir PSA, and tends to resolve over 6–12 months. Studies have shown that prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) has a high sensitivity and specificity for the detection of prostate cancer recurrence and can potentially guide therapy. Because salvage treatment (such as local or systemic salvage) may have associated morbidity, it is important to exclude the possibility of PSA bounce before proceeding with salvage treatment. We describe a case of clinically suspected local failure with initial PSA rise and suspicious PSMA PET/CT finding post-therapy that was actually related to a PSA bounce, emphasizing the need for caution in the evaluation of men where a PSA bounce may be a confounding phenomenon.
Published: 2021

44. Detecting lumbar lesions in

Author: Yoann, Petibon, Frederic, Fahey, Xinhua, Cao, Zakhar, Levin, Briana, Sexton-Stallone, Anthony, Falone, Katherine, Zukotynski, Neha, Kwatra, Ruth, Lim, Zvi, Bar-Sever, Yanis, Chemli, S Ted, Treves, Georges El, Fakhri, and Jinsong, Ouyang
Subjects: Tomography, Emission-Computed, Single-Photon, Deep Learning, Physicians, Humans, Technetium Tc 99m Medronate, Child, Retrospective Studies
Abstract: Sixty-five lesion-absent (LA)The deep learning (DL) system slightly outperformed human observers, achieving an area under the LROC curve (AUCThe DL system provides comparable or superior performance than physicians in localizing small
Published: 2021

45. Canadian Urological Association best practice report: Prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) and PET/magnetic resonance (MR) in prostate cancer

Author: Bobby, Shaygan, Katherine, Zukotynski, François, Bénard, Cynthia, Ménard, Joda, Kuk, Golmehr, Sistani, Glenn, Bauman, Patrick, Veit-Haibach, and Ur, Metser
Subjects: Biodistribution, medicine.medical_specialty, medicine.diagnostic_test, business.industry, Urology, Magnetic resonance imaging, urologic and male genital diseases, medicine.disease, Prostate cancer, Oncology, Positron emission tomography, Glutamate carboxypeptidase II, Medicine, Radiology, business, Psma pet ct, Positron Emission Tomography-Computed Tomography, Membrane antigen
Abstract: Prostate-specific membrane antigen (PSMA)-targeted positron emission tomography (PET) is increasingly being used worldwide as part of the clinical workup for men with prostate cancer. With high overall accuracy for the detection of prostate cancer, PSMA-targeted PET has an increasingly established role in the setting of biochemical failure after primary therapy and an evolving role in the setting of initial disease staging; its utility for guiding management in the setting of metastatic disease is less clear. Although the specificity is high, familiarization with potential pitfalls in the interpretation of PSMA-targeted PET, including knowledge of the causes for false positive and negative examinations, is critical. The aim of this article is to provide an illustrative discussion of the current and evolving clinical indications for PSMA-targeted PET, as well as a review of physiologic radiopharmaceutical biodistribution and potential imaging pitfalls.
Published: 2021

46. Re: Rachel M. Glicksman, Ur Metser, Douglass Vines, et al. Curative-intent Metastasis-directed Therapies for Molecularly-defined Oligorecurrent Prostate Cancer: A Prospective Phase II Trial Testing the Oligometastasis Hypothesis. Eur Urol 2021;80:374–82

Author: Wei Liu, Glenn Bauman, and Katherine Zukotynski
Subjects: Curative intent, Oncology, medicine.medical_specialty, Prostate cancer, business.industry, Urology, Internal medicine, Medicine, business, medicine.disease, Metastasis
Published: 2021

47. A Radiology-focused Review of Predictive Uncertainty for AI Interpretability in Computer-assisted Segmentation

Author: Thomas E. Doyle, Katherine Zukotynski, Brian W. McCrindle, and Michael D. Noseworthy
Subjects: Radiological and Ultrasound Technology, Computer science, business.industry, health care facilities, manpower, and services, education, Review, Machine learning, computer.software_genre, Accurate segmentation, Workflow, Artificial Intelligence, health services administration, Radiology, Nuclear Medicine and imaging, Segmentation, Artificial intelligence, business, computer, Interpretability
Abstract: The recent advances and availability of computer hardware, software tools, and massive digital data archives have enabled the rapid development of artificial intelligence (AI) applications. Concerns over whether AI tools can “communicate” decisions to radiologists and primary care physicians is of particular importance because automated clinical decisions can substantially impact patient outcome. A challenge facing the clinical implementation of AI stems from the potential lack of trust clinicians have in these predictive models. This review will expand on the existing literature on interpretability methods for deep learning and review the state-of-the-art methods for predictive uncertainty estimation for computer-assisted segmentation tasks. Last, we discuss how uncertainty can improve predictive performance and model interpretability and can act as a tool to help foster trust. Keywords: Segmentation, Quantification, Ethics, Bayesian Network (BN) © RSNA, 2021
Published: 2021

48. Mars Shot for Nuclear Medicine, Molecular Imaging, and Molecularly Targeted Radiopharmaceutical Therapy

Author: Katherine Zukotynski, Richard L. Wahl, Panithaya Chareonthaitawee, Bonnie Clarke, John Sunderland, Liza Lindenberg, Arman Rahmim, Gary A. Ulaner, Wolfgang A. Weber, James T. Thackeray, and Alexander Drzezga
Subjects: Engineering, theranostics, pharmacology [Radiopharmaceuticals], drug therapy [Neoplasms], radiopharmaceutical therapy, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Neoplasms, Humans, Radiology, Nuclear Medicine and imaging, ddc:610, Molecular Targeted Therapy, Strategic planning, neuroimaging, business.industry, Mars Exploration Program, artificial intelligence, molecular imaging, therapeutic use [Radiopharmaceuticals], pharmacokinetics [Radiopharmaceuticals], Molecular Imaging, Future study, 030220 oncology & carcinogenesis, Molecular imaging, Nuclear Medicine, Radiopharmaceuticals, Nuclear medicine, business, The State of the Art, diagnostic imaging [Neoplasms]
Abstract: The Society of Nuclear Medicine and Molecular Imaging created the Value Initiative in 2017 as a major component of its strategic plan to further demonstrate the value of molecular imaging and molecularly targeted radiopharmaceutical therapy to patients, physicians, payers, and funding agencies. The research and discovery domain, 1 of 5 under the Value Initiative, has a goal of advancing the research and development of diagnostic and therapeutic nuclear medicine. Research and discovery efforts and achievements are essential to ensure a bright future for NM and to translate science to practice. Given the remarkable progress in the field, leaders from the research and discovery domain and society councils identified 5 broad areas of opportunity with potential for substantive growth and clinical impact. This article discusses these 5 growth areas, identifying specific areas of particularly high importance for future study and development. As there was an understanding that goals should be both visionary yet achievable, this effort was called the Mars shot for nuclear medicine.Keywords: artificial intelligence; molecular imaging; neuroimaging; radiopharmaceutical therapy; theranostics.
Published: 2021

49. Impact of COVID-19 Pandemic on Cardiovascular Testing in Asia

Author: Takashi Kudo, Ryan Lahey, Cole B. Hirschfeld, Michelle C. Williams, Bin Lu, Mirvat Alasnag, Mona Bhatia, Hee-Seung Henry Bom, Tairkhan Dautov, Reza Fazel, Ganesan Karthikeyan, Felix Y.J. Keng, Ronen Rubinshtein, Nathan Better, Rodrigo Julio Cerci, Sharmila Dorbala, Paolo Raggi, Leslee J. Shaw, Todd C. Villines, João V. Vitola, Andrew D. Choi, Eli Malkovskiy, Benjamin Goebel, Yosef A. Cohen, Michael Randazzo, Thomas N.B. Pascual, Yaroslav Pynda, Maurizio Dondi, Diana Paez, Andrew J. Einstein, Rodrigo Cerci, Joao V. Vitola, Gerd Hinterleitner, Yao Lu, Olga Morozova, Zhuoran Xu, Yosef Cohen, Andrew Choi, Juan Lopez-Mattei, Purvi Parwani, Mohammad Nawaz Nasery, Artan Goda, Ervina Shirka, Rabie Benlabgaa, Salah Bouyoucef, Abdelkader Medjahedi, Qais Nailli, Mariela Agolti, Roberto Nicolas Aguero, Maria del Carmen Alak, Lucia Graciela Alberguina, Guillermo Arroñada, Andrea Astesiano, Alfredo Astesiano, Carolina Bas Norton, Pablo Benteo, Juan Blanco, Juan Manuel Bonelli, Jose Javier Bustos, Raul Cabrejas, Jorge Cachero, Roxana Campisi, Alejandro Canderoli, Silvia Carames, Patrícia Carrascosa, Ricardo Castro, Oscar Cendoya, Luciano Martin Cognigni, Carlos Collaud, Claudia Cortes, Javier Courtis, Daniel Cragnolino, Mariana Daicz, Alejandro De La Vega, Silvia Teresa De Maria, Horacio Del Riego, Fernando Dettori, Alejandro Deviggiano, Laura Dragonetti, Mario Embon, Ruben Emilio Enriquez, Jorge Ensinas, Fernando Faccio, Adolfo Facello, Diego Garofalo, Ricardo Geronazzo, Natalia Gonza, Lucas Gutierrez, Miguel Angel Guzzo, Victor Hasbani, Melina Huerin, Victor Jäger, Julio Manuel Lewkowicz, Maria Nieves A. López De Munaín, Jose Maria Lotti, Alejandra Marquez, Osvaldo Masoli, Osvaldo Horacio Masoli, Edgardo Mastrovito, Matias Mayoraz, Graciela Eva Melado, Anibal Mele, Maria Fernanda Merani, Alejandro Horacio Meretta, Susana Molteni, Marcos Montecinos, Eduardo Noguera, Carlos Novoa, Claudio Pereyra Sueldo, Sebastian Perez Ascani, Pablo Pollono, Maria Paula Pujol, Alejandro Radzinschi, Gustavo Raimondi, Marcela Redruello, Marina Rodríguez, Matías Rodríguez, Romina Lorena Romero, Arturo Romero Acuña, Federico Rovaletti, Lucas San Miguel, Lucrecia Solari, Bruno Strada, Sonia Traverso, Sonia Simona Traverzo, Maria del Huerto Velazquez Espeche, Juan Sebastian Weihmuller, Juan Wolcan, Susana Zeffiro, Mari Sakanyan, Scott Beuzeville, Raef Boktor, Patrick Butler, Jennifer Calcott, Loretta Carr, Virgil Chan, Charles Chao, Woon Chong, Mark Dobson, D'Arne Downie, Girish Dwivedi, Barry Elison, Jean Engela, Roslyn Francis, Anand Gaikwad, Ashok Gangasandra Basavaraj, Bruce Goodwin, Robert Greenough, Christian Hamilton-Craig, Victar Hsieh, Subodh Joshi, Karin Lederer, Kenneth Lee, Joseph Lee, John Magnussen, Nghi Mai, Gordon Mander, Fiona Murton, Dee Nandurkar, Johanne Neill, Edward O'Rourke, Patricia O'Sullivan, George Pandos, Kunthi Pathmaraj, Alexander Pitman, Rohan Poulter, Manuja Premaratne, David Prior, Lloyd Ridley, Natalie Rutherford, Hamid Salehi, Connor Saunders, Luke Scarlett, Sujith Seneviratne, Deepa Shetty, Ganesh Shrestha, Jonathan Shulman, Vijay Solanki, Tony Stanton, Murch Stuart, Michael Stubbs, Ian Swainson, Kim Taubman, Andrew Taylor, Paul Thomas, Steven Unger, Anthony Upton, Shankar Vamadevan, William Van Gaal, Johan Verjans, Demetrius Voutnis, Victor Wayne, Peter Wilson, David Wong, Kirby Wong, John Younger, Gudrun Feuchtner, Siroos Mirzaei, Konrad Weiss, Natallia Maroz-Vadalazhskaya, Olivier Gheysens, Filip Homans, Rodrigo Moreno-Reyes, Agnès Pasquet, Veronique Roelants, Caroline M. Van De Heyning, Raúl Araujo Ríos, Valentina Soldat-Stankovic, Sinisa Stankovic, Maria Helena Albernaz Siqueira, Augusto Almeida, Paulo Henrique Alves Togni, Jose Henrique Andrade, Luciana Andrade, Carlos Anselmi, Roberta Araújo, Guilherme Azevedo, Sabbrina Bezerra, Rodrigo Biancardi, Gabriel Blacher Grossman, Simone Brandão, Diego Bromfman Pianta, Lara Carreira, Bruno Castro, Tien Chang, Fernando Cunali, Roberto Cury, Roberto Dantas, Fernando de Amorim Fernandes, Andrea De Lorenzo, Robson De Macedo Filho, Fernanda Erthal, Fabio Fernandes, Juliano Fernandes, Thiago Ferreira De Souza, Wilson Furlan Alves, Bruno Ghini, Luiz Goncalves, Ilan Gottlieb, Marcelo Hadlich, Vinícius Kameoka, Ronaldo Lima, Adna Lima, Rafael Willain Lopes, Ricardo Machado e Silva, Tiago Magalhães, Fábio Martins Silva, Luiz Eduardo Mastrocola, Fábio Medeiros, José Claudio Meneghetti, Vania Naue, Danilo Naves, Roberto Nolasco, Cesar Nomura, Joao Bruno Oliveira, Eduardo Paixao, Filipe Penna De Carvalho, Ibraim Pinto, Priscila Possetti, Mayra Quinta, Rodrigo Rizzo Nogueira Ramos, Ricardo Rocha, Alfredo Rodrigues, Carlos Rodrigues, Leila Romantini, Adelina Sanches, Sara Santana, Leonardo Sara da Silva, Paulo Schvartzman, Cristina Sebastião Matushita, Tiago Senra, Afonso Shiozaki, Maria Eduarda Menezes de Siqueira, Cristiano Siqueira, Paola Smanio, Carlos Eduardo Soares, José Soares Junior, Marcio Sommer Bittencourt, Bernardo Spiro, Cláudio Tinoco Mesquita, Jorge Torreao, Rafael Torres, Marly Uellendahl, Guilherme Urpia Monte, Otávia Veríssimo, Estevan Vieira Cabeda, Felipe Villela Pedras, Roberto Waltrick, Marcello Zapparoli, Hamid Naseer, Marina Garcheva-Tsacheva, Irena Kostadinova, Youdaline Theng, Gad Abikhzer, Rene Barette, Benjamin Chow, Dominique Dabreo, Matthias Friedrich, Ria Garg, Mohammed Nassoh Hafez, Chris Johnson, Marla Kiess, Jonathon Leipsic, Eugene Leung, Robert Miller, Anastasia Oikonomou, Stephan Probst, Idan Roifman, Gary Small, Vikas Tandon, Adwait Trivedi, James White, Katherine Zukotynski, Jose Canessa, Gabriel Castro Muñoz, Carmen Concha, Pablo Hidalgo, Cesar Lovera, Teresa Massardo, Luis Salazar Vargas, Pedro Abad, Harold Arturo, Sandra Ayala, Luis Benitez, Alberto Cadena, Carlos Caicedo, Antonio Calderón Moncayo, Sharon Gomez, Claudia T. Gutierrez Villamil, Claudia Jaimes, Juan Londoño, Juan Luis Londoño Blair, Luz Pabon, Mauricio Pineda, Juan Carlos Rojas, Diego Ruiz, Manuel Valencia Escobar, Andres Vasquez, Damiana Vergel, Alejandro Zuluaga, Isabel Berrocal Gamboa, Gabriel Castro, Ulises González, Ana Baric, Tonci Batinic, Maja Franceschi, Maja Hrabak Paar, Mladen Jukic, Petar Medakovic, Viktor Persic, Marina Prpic, Ante Punda, Juan Felipe Batista, Juan Manuel Gómez Lauchy, Yamile Marcos Gutierrez, Rayner Menéndez, Amalia Peix, Luis Rochela, Christoforos Panagidis, Ioannis Petrou, Vaclav Engelmann, Milan Kaminek, Vladimír Kincl, Otto Lang, Milan Simanek, Jawdat Abdulla, Morten Bøttcher, Mette Christensen, Lars Christian Gormsen, Philip Hasbak, Søren Hess, Paw Holdgaard, Allan Johansen, Kasper Kyhl, Bjarne Linde Norgaard, Kristian Altern Øvrehus, Niels Peter Rønnow Sand, Rolf Steffensen, Anders Thomassen, Bo Zerahn, Alfredo Perez, Giovanni Alejandro Escorza Velez, Mayra Sanchez Velez, Islam Shawky Abdel Aziz, Mahasen Abougabal, Taghreed Ahmed, Adel Allam, Ahmed Asfour, Mona Hassan, Alia Hassan, Ahmed Ibrahim, Sameh Kaffas, Ahmed Kandeel, Mohamed Mandour Ali, Ahmad Mansy, Hany Maurice, Sherif Nabil, Mahmoud Shaaban, Ana Camila Flores, Anne Poksi, Juhani Knuuti, Velipekka Kokkonen, Martti Larikka, Valtteri Uusitalo, Matthieu Bailly, Samuel Burg, Jean-François Deux, Vincent Habouzit, Fabien Hyafil, Olivier Lairez, Franck Proffit, Hamza Regaieg, Laure Sarda-Mantel, Vania Tacher, Roman P. Schneider, Harold Ayetey, George Angelidis, Aikaterini Archontaki, Sofia Chatziioannou, Ioannis Datseris, Christina Fragkaki, Panagiotis Georgoulias, Sophia Koukouraki, Maria Koutelou, Eleni Kyrozi, Evangelos Repasos, Petros Stavrou, Pipitsa Valsamaki, Carla Gonzalez, Goleat Gutierrez, Alejandro Maldonado, Klara Buga, Ildiko Garai, Pál Maurovich-Horvat, Erzsébet Schmidt, Balint Szilveszter, Edit Várady, Nilesh Banthia, Jinendra Kumar Bhagat, Rishi Bhargava, Vivek Bhat, Partha Choudhury, Vijay Sai Chowdekar, Aparna Irodi, Shashank Jain, Elizabeth Joseph, Sukriti Kumar, Prof Dr Girijanandan Mahapatra, Deepanjan Mitra, Bhagwant Rai Mittal, Ahmad Ozair, Chetan Patel, Tapan Patel, Ravi Patel, Shivani Patel, Sudhir Saxena, Shantanu Sengupta, Santosh Singh, Bhanupriya Singh, Ashwani Sood, Atul Verma, Erwin Affandi, Padma Savenadia Alam, Edison Edison, Gani Gunawan, Habusari Hapkido, Basuki Hidayat, Aulia Huda, Anggoro Praja Mukti, Djoko Prawiro, Erwin Affandi Soeriadi, Hilman Syawaluddin, Amjed Albadr, Majid Assadi, Farshad Emami, Golnaz Houshmand, Majid Maleki, Maryam Tajik Rostami, Seyed Rasoul Zakavi, Eed Abu Zaid, Svetlana Agranovich, Yoav Arnson, Rachel Bar-Shalom, Alex Frenkel, Galit Knafo, Rachel Lugassi, Israel Shlomo Maor Moalem, Maya Mor, Noam Muskal, Sara Ranser, Aryeh Shalev, Domenico Albano, Pierpaolo Alongi, Gaspare Arnone, Elisa Bagatin, Sergio Baldari, Matteo Bauckneht, Paolo Bertelli, Francesco Bianco, Rachele Bonfiglioli, Roberto Boni, Andrea Bruno, Isabella Bruno, Elena Busnardo, Elena Califaretti, Luca Camoni, Aldo Carnevale, Roberta Casoni, Armando Ugo Cavallo, Giorgio Cavenaghi, Franca Chierichetti, Marcello Chiocchi, Corrado Cittanti, Mauro Colletta, Umberto Conti, Alberto Cossu, Alberto Cuocolo, Marco Cuzzocrea, Maria Luisa De Rimini, Giuseppe De Vincentis, Eleonora Del Giudice, Alberico Del Torto, Veronica Della Tommasina, Rexhep Durmo, Paola Anna Erba, Laura Evangelista, Riccardo Faletti, Evelina Faragasso, Mohsen Farsad, Paola Ferro, Luigia Florimonte, Viviana Frantellizzi, Fabio Massimo Fringuelli, Marco Gatti, Angela Gaudiano, Alessia Gimelli, Raffaele Giubbini, Francesca Giuffrida, Salvatore Ialuna, Riccardo Laudicella, Lucia Leccisotti, Lucia Leva, Riccardo Liga, Carlo Liguori, Giampiero Longo, Margherita Maffione, Maria Elisabetta Mancini, Claudio Marcassa, Elisa Milan, Barbara Nardi, Sara Pacella, Giovanna Pepe, Gianluca Pontone, Sabina Pulizzi, Natale Quartuccio, Lucia Rampin, Fabrizio Ricci, Pierluigi Rossini, Giuseppe Rubini, Vincenzo Russo, Gian Mauro Sacchetti, Gianmario Sambuceti, Massimo Scarano, Roberto Sciagrà, Massimiliano Sperandio, Antonella Stefanelli, Guido Ventroni, Stefania Zoboli, Dainia Baugh, Duane Chambers, Ernest Madu, Felix Nunura, Hiroshi Asano, Chimura Misato Chimura, Shinichiro Fujimoto, Koichiro Fujisue, Tomohisa Fukunaga, Yoshimitsu Fukushima, Kae Fukuyama, Jun Hashimoto, Yasutaka Ichikawa, Nobuo Iguchi, Masamichi Imai, Anri Inaki, Hayato Ishimura, Satoshi Isobe, Toshiaki Kadokami, Takao Kato, Shinichiro Kumita, Hirotaka Maruno, Hiroyuki Mataki, Masao Miyagawa, Ryota Morimoto, Masao Moroi, Shigeki Nagamachi, Kenichi Nakajima, Tomoaki Nakata, Ryo Nakazato, Mamoru Nanasato, Masanao Naya, Takashi Norikane, Yasutoshi Ohta, Satoshi Okayama, Atsutaka Okizaki, Yoichi Otomi, Hideki Otsuka, Masaki Saito, Sakata Yasushi Sakata, Masayoshi Sarai, Daisuke Sato, Shinya Shiraishi, Yoshinobu Suwa, Kentaro Takanami, Kazuya Takehana, Junichi Taki, Nagara Tamaki, Yasuyo Taniguchi, Hiroki Teragawa, Nobuo Tomizawa, Kenichi Tsujita, Kyoko Umeji, Yasushi Wakabayashi, Shinichiro Yamada, Shinya Yamazaki, Tatsuya Yoneyama, Mohammad Rawashdeh, Daultai Batyrkhanov, Khalid Makhdomi, Kevin Ombati, Faridah Alkandari, Masoud Garashi, Tchoyoson Lim Coie, Sonexay Rajvong, Artem Kalinin, Marika Kalnina, Mohamad Haidar, Renata Komiagiene, Giedre Kviecinskiene, Mindaugas Mataciunas, Donatas Vajauskas, Christian Picard, Noor Khairiah A. Karim, Luise Reichmuth, Anthony Samuel, Mohammad Aaftaab Allarakha, Ambedhkar Shantaram Naojee, Erick Alexanderson-Rosas, Erika Barragan, Alejandro Becerril González-Montecinos, Manuel Cabada, Daniel Calderon Rodriguez, Isabel Carvajal-Juarez, Violeta Cortés, Filiberto Cortés, Erasmo De La Peña, Manlio Gama-Moreno, Luis González, Nelsy Gonzalez Ramírez, Moisés Jiménez-Santos, Luis Matos, Edgar Monroy, Martha Morelos, Mario Ornelas, Jose Alberto Ortga Ramirez, Andrés Preciado-Anaya, Óscar Ulises Preciado-Gutiérrez, Adriana Puente Barragan, Sandra Graciela Rosales Uvera, Sigelinda Sandoval, Miguel Santaularia Tomas, Lilia M. 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Bayer, Adam Bernheim, Sabha Bhatti, Erik Bieging, Ron Blankstein, Stephen Bloom, Sean Blue, David Bluemke, Andressa Borges, Kelley Branch, Paco Bravo, Jessica Brothers, Matthew Budoff, Renée Bullock-Palmer, Angela Burandt, Floyd W. Burke, Kelvin Bush, Candace Candela, Elizabeth Capasso, Joao Cavalcante, Donald Chang, Saurav Chatterjee, Yiannis Chatzizisis, Michael Cheezum, Tiffany Chen, Jennifer Chen, Marcus Chen, James Clarcq, Ayreen Cordero, Matthew Crim, Sorin Danciu, Bruce Decter, Nimish Dhruva, Neil Doherty, Rami Doukky, Anjori Dunbar, William Duvall, Rachael Edwards, Kerry Esquitin, Husam Farah, Emilio Fentanes, Maros Ferencik, Daniel Fisher, Daniel Fitzpatrick, Cameron Foster, Tony Fuisz, Michael Gannon, Lori Gastner, Myron Gerson, Brian Ghoshhajra, Alan Goldberg, Brian Goldner, Jorge Gonzalez, Rosco Gore, Sandra Gracia-López, Fadi Hage, Agha Haider, Sofia Haider, Yasmin Hamirani, Karen Hassen, Mallory Hatfield, Carolyn Hawkins, Katie Hawthorne, Nicholas Heath, Robert Hendel, Phillip Hernandez, Gregory Hill, Stephen Horgan, Jeff Huffman, Lynne Hurwitz, Ami Iskandrian, Rajesh Janardhanan, Christine Jellis, Scott Jerome, Dinesh Kalra, Summanther Kaviratne, Fernando Kay, Faith Kelly, Omar Khalique, Mona Kinkhabwala, George Kinzfogl Iii, Jacqueline Kircher, Rachael Kirkbride, Michael Kontos, Anupama Kottam, Joseph Krepp, Jay Layer, Steven H. Lee, Jeffrey Leppo, John Lesser, Steve Leung, Howard Lewin, Diana Litmanovich, Yiyan Liu, Kathleen Magurany, Jeremy Markowitz, Amanda Marn, Stephen E. Matis, Michael Mckenna, Tony Mcrae, Fernando Mendoza, Michael Merhige, David Min, Chanan Moffitt, Karen Moncher, Warren Moore, Shamil Morayati, Michael Morris, Mahmud Mossa-Basha, Zorana Mrsic, Venkatesh Murthy, Prashant Nagpal, Kyle Napier, Katarina Nelson, Prabhjot Nijjar, Medhat Osman, Edward Passen, Amit Patel, Pravin Patil, Ryan Paul, Lawrence Phillips, Venkateshwar Polsani, Rajaram Poludasu, Brian Pomerantz, Thomas Porter, Ryan Prentice, Amit Pursnani, Mark Rabbat, Suresh Ramamurti, Florence Rich, Hiram Rivera Luna, Austin Robinson, Kim Robles, Cesar Rodríguez, Mark Rorie, John Rumberger, Raymond Russell, Philip Sabra, Diego Sadler, Mary Schemmer, U. Joseph Schoepf, Samir Shah, Nishant Shah, Sujata Shanbhag, Gaurav Sharma, Steven Shayani, Jamshid Shirani, Pushpa Shivaram, Steven Sigman, Mitch Simon, Ahmad Slim, David Smith, Alexandra Smith, Prem Soman, Aditya Sood, Monvadi Barbara Srichai-Parsia, James Streeter, Albert T, Ahmed Tawakol, Dustin Thomas, Randall Thompson, Tara Torbet, Desiree Trinidad, Shawn Ullery, Samuel Unzek, Seth Uretsky, Srikanth Vallurupalli, Vikas Verma, Alfonso Waller, Ellen Wang, Parker Ward, Gaby Weissman, George Wesbey, Kelly White, David Winchester, David Wolinsky, Sandra Yost, Michael Zgaljardic, Omar Alonso, Mario Beretta, Rodolfo Ferrando, Miguel Kapitan, Fernando Mut, Omoa Djuraev, Gulnora Rozikhodjaeva, Ha Le Ngoc, Son Hong Mai, Xuan Canh Nguyen, Kudo, T, Lahey, R, Hirschfeld, C, Williams, M, Lu, B, Alasnag, M, Bhatia, M, Henry Bom, H, Dautov, T, Fazel, R, Karthikeyan, G, Keng, F, Rubinshtein, R, Better, N, Cerci, R, Dorbala, S, Raggi, P, Shaw, L, Villines, T, Vitola, J, Choi, A, Malkovskiy, E, 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Subjects: medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Heart disease, business.industry, cardiac testing, coronavirus, COVID-19, global health, Disease, medicine.disease_cause, medicine.disease, coronaviru, cardiovascular disease, RC666-701, Emergency medicine, Pandemic, medicine, Global health, Diseases of the circulatory (Cardiovascular) system, business, Coronavirus
Abstract: Background: The coronavirus disease-2019 (COVID-19) pandemic significantly affected management of cardiovascular disease around the world. The effect of the pandemic on volume of cardiovascular diagnostic procedures is not known. Objectives: This study sought to evaluate the effects of the early phase of the COVID-19 pandemic on cardiovascular diagnostic procedures and safety practices in Asia. Methods: The International Atomic Energy Agency conducted a worldwide survey to assess changes in cardiovascular procedure volume and safety practices caused by COVID-19. Testing volumes were reported for March 2020 and April 2020 and were compared to those from March 2019. Data from 180 centers across 33 Asian countries were grouped into 4 subregions for comparison. Results: Procedure volumes decreased by 47% from March 2019 to March 2020, showing recovery from March 2020 to April 2020 in Eastern Asia, particularly in China. The majority of centers cancelled outpatient activities and increased time per study. Practice changes included implementing physical distancing and restricting visitors. Although COVID testing was not commonly performed, it was conducted in one-third of facilities in Eastern Asia. The most severe reductions in procedure volumes were observed in lower-income countries, where volumes decreased 81% from March 2019 to April 2020. Conclusions: The COVID-19 pandemic in Asia caused significant reductions in cardiovascular diagnostic procedures, particularly in low-income countries. Further studies on effects of COVID-19 on cardiovascular outcomes and changes in care delivery are warranted.
Published: 2021

50. Prostate-specific membrane antigen targeted PET/CT for recurrent prostate cancer: a clinician’s guide

Author: Katherine Zukotynski, Wei Liu, Sympascho Young, and Glenn Bauman
Subjects: Male, 0301 basic medicine, Biochemical recurrence, medicine.medical_specialty, positron emission tomography, Biochemical failure, urologic and male genital diseases, 03 medical and health sciences, Prostate cancer, 0302 clinical medicine, biochemical failure, Positron Emission Tomography Computed Tomography, medicine, Glutamate carboxypeptidase II, Humans, Pharmacology (medical), Prostatectomy, PET-CT, radiorecurrence, medicine.diagnostic_test, business.industry, Prostate, Prostatic Neoplasms, prostate specific membrane antigen, Prostate-Specific Antigen, salvage radiotherapy, medicine.disease, prostate cancer, radioligand therapy, oligometastasis, 030104 developmental biology, Oncology, Positron emission tomography, 030220 oncology & carcinogenesis, Salvage radiotherapy, Recurrent prostate cancer, Radiology, Neoplasm Recurrence, Local, Radiopharmaceuticals, business
Abstract: Introduction: PSMA-targeted PET/CT is a ‘Next Generation Imaging’ technique with superior sensitivity and specificity for detecting recurrent prostate cancer compared with conventional imaging, allowing more accurate staging and re-staging. Areas covered: This article reviews the role of PSMA-targeted PET/CT in clinical management of men with recurrent prostate cancer. Expert opinion: Through enhanced spatial characterization of recurrent prostate cancer, PSMA-targeted PET/CT has shown significant impact on management decisions. In particular, by identifying men with recurrence confined to the prostate or pelvic nodes, PSMA-targeted PET/CT enables selective deployment of localized salvage therapies for management of biochemical failure after primary treatment with prostatectomy or radiotherapy. In oligometastatic disease, PSMA-targeted PET/CT may improve patient selection and treatment accuracy for metastasis-directed therapy and early phase II studies show encouraging results in delaying the need for systemic therapy. Further, quantitative PSMA-targeted PET/CT for monitoring response and therapeutic PSMA-targeted radiopharmaceuticals are emerging as encouraging treatment options in the setting of castrate-resistant disease.
Published: 2021

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