50 results on '"Stephan Probst"'
Search Results
2. The Triple‐Tracer strategy against Metastatic PrOstate cancer (3TMPO) study protocol
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Félix Camirand Lemyre, Wassim Kassouf, Amélie Tétu, Etienne Rousseau, Fred Saad, Stephan Probst, Guillaume F. Bouvet, Brigitte Guérin, Jean-Mathieu Beauregard, Eric Turcotte, Maurice Anidjar, Patrick O. Richard, Frédéric Pouliot, Bertrand Neveu, and Dominique Trudel
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Male ,Oncology ,Canada ,medicine.medical_specialty ,Urology ,Gallium Radioisotopes ,Disease ,Ligands ,Neuroendocrine differentiation ,Metastasis ,Prostate cancer ,Fluorodeoxyglucose F18 ,Positron Emission Tomography Computed Tomography ,Internal medicine ,Biopsy ,medicine ,Humans ,Multicenter Studies as Topic ,Prospective Studies ,Radionuclide Imaging ,Fluorodeoxyglucose ,medicine.diagnostic_test ,business.industry ,medicine.disease ,Observational Studies as Topic ,Prostatic Neoplasms, Castration-Resistant ,Positron emission tomography ,Positron-Emission Tomography ,Radiopharmaceuticals ,Molecular imaging ,business ,medicine.drug - Abstract
OBJECTIVE To determine the prevalence of intra-patient inter-metastatic heterogeneity based on positron emission tomography (PET)/computed tomography (CT) in patients with metastatic castration-resistant prostate cancer (mCRPC) and to determine the prevalence of neuroendocrine disease in these patients and their eligibility for radioligand therapies (RLTs). PATIENTS AND METHODS This multicentre observational prospective clinical study will include 100 patients with mCRPC from five Canadian academic centres. Patients with radiological or biochemical progression and harbouring at least three metastases by conventional imaging will be accrued. Intra-patient inter-metastatic heterogeneity will be determined with triple-tracer imaging using fluorine-18 fluorodeoxyglucose (18 F-FDG), gallium-68-(68 Ga)-prostate-specific membrane antigen (PSMA)-617 and 68 Ga-DOTATATE, which are a glucose analogue, a PSMA receptor ligand and a somatostatin receptor ligand, respectively. The 68 Ga-PSMA-617 and 18 F-FDG PET/CT scans will be performed first. If at least one PSMA-negative/FDG-positive lesion is observed, an additional PET/CT scan with 68 Ga-DOTATATE will be performed. The tracer uptake of individual lesions will be assessed for each PET tracer and patients with lesions presenting discordant uptake profiles will be considered as having inter-metastatic heterogeneous disease and may be offered a biopsy. EXPECTED RESULTS The proposed triple-tracer approach will allow whole-body mCRPC characterisation, investigating the inter-metastatic heterogeneity in order to better understand the phenotypic plasticity of prostate cancer, including the neuroendocrine transdifferentiation that occurs during mCRPC progression. Based on 68 Ga-PSMA-617 or 68 Ga-DOTATATE PET positivity, the potential eligibility of patients for PSMA and DOTATATE-based RLT will be assessed. Non-invasive whole-body determination of mCRPC heterogeneity and transdifferentiation is highly innovative and might establish the basis for new therapeutic strategies. Comparison of molecular imaging findings with biopsies will also link metastasis biology to radiomic features. CONCLUSION This study will add novel, biologically relevant dimensions to molecular imaging: the non-invasive detection of inter-metastatic heterogeneity and transdifferentiation to neuroendocrine prostate cancer by using a multi-tracer PET/CT strategy to further personalise the care of patients with mCRPC.
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- 2021
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3. Differential Detection of Hepatic Metastases on 68 Ga-DOTATATE PET/CT and 177 Lu-DOTATATE SPECT/CT
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Hanan Zahed, Jean-Mathieu Beauregard, Gad Abikhzer, Christopher Rush, and Stephan Probst
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Male ,Neuroendocrine Tumors ,Single Photon Emission Computed Tomography Computed Tomography ,Positron Emission Tomography Computed Tomography ,Liver Neoplasms ,Organometallic Compounds ,Humans ,Radiology, Nuclear Medicine and imaging ,Gallium Radioisotopes ,General Medicine ,Middle Aged ,Radiopharmaceuticals - Abstract
68 Ga-DOTATATE PET/CT is indicated for selecting patients for peptide receptor radionuclide therapy (PRRT). Although highly sensitive, the detectability of smaller lesions, particularly in the liver, is lower. We present the case of a 58-year-old man with metastatic well-differentiated pancreatic neuroendocrine tumor whose MRI revealed progression of hepatic metastases. 68 Ga-DOTATATE PET/CT performed to determine eligibility for PRRT did not demonstrate DOTATATE-avid disease within the liver. 18 F-FDG PET/CT was also negative at the liver and the patient proceeded to 177 Lu-DOTATATE PRRT, where multi-time point posttherapy planar imaging and SPECT/CT showed intense uptake in the known liver metastases.
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- 2022
4. Quality and Quantity: Evaluating Tumor Biology Alongside Novel Imaging on Diagnosis of Metastatic Hormone-sensitive Prostate Cancer
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Vanessa Di Lalla, Michael J. Kucharczyk, Alexander W. Wyatt, Felix Y. Feng, Stephan Probst, Gwenaelle Gravis, Jonathan So, Fred Saad, and Tamim Niazi
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Male ,Urology ,Humans ,Prostatic Neoplasms ,Biology ,Hormones - Abstract
Tumor biology may play an important role as an effective predictive biomarker that is complementary to functional imaging for metastatic hormone-sensitive prostate cancer.
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- 2022
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5. Analytical performance of aPROMISE: automated anatomic contextualization, detection, and quantification of [18F]DCFPyL (PSMA) imaging for standardized reporting
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Matthew Rettig, Kerstin Johnsson, Michael J. Morris, Nicholas G. Nickols, Anders Bjartell, Aseem Anand, Johan Brynolfsson, Hannicka Maria Eleonora Sahlstedt, Stephan Probst, and Mathias Eiber
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Male ,Blood pool ,Standardized reporting ,Prostate cancer ,symbols.namesake ,Segmentation ,Positron Emission Tomography Computed Tomography ,medicine ,Quantitative assessment ,Image Processing, Computer-Assisted ,Humans ,Radiology, Nuclear Medicine and imaging ,Retrospective Studies ,All lymph nodes ,18F-DCFPyL ,aPROMISE ,PSMA PET/CT evaluation ,business.industry ,Prostate ,Prostatic Neoplasms ,General Medicine ,medicine.disease ,Pearson product-moment correlation coefficient ,Tracer uptake ,symbols ,Original Article ,Nuclear medicine ,business - Abstract
Purpose The application of automated image analyses could improve and facilitate standardization and consistency of quantification in [18F]DCFPyL (PSMA) PET/CT scans. In the current study, we analytically validated aPROMISE, a software as a medical device that segments organs in low-dose CT images with deep learning, and subsequently detects and quantifies potential pathological lesions in PSMA PET/CT. Methods To evaluate the deep learning algorithm, the automated segmentations of the low-dose CT component of PSMA PET/CT scans from 20 patients were compared to manual segmentations. Dice scores were used to quantify the similarities between the automated and manual segmentations. Next, the automated quantification of tracer uptake in the reference organs and detection and pre-segmentation of potential lesions were evaluated in 339 patients with prostate cancer, who were all enrolled in the phase II/III OSPREY study. Three nuclear medicine physicians performed the retrospective independent reads of OSPREY images with aPROMISE. Quantitative consistency was assessed by the pairwise Pearson correlations and standard deviation between the readers and aPROMISE. The sensitivity of detection and pre-segmentation of potential lesions was evaluated by determining the percent of manually selected abnormal lesions that were automatically detected by aPROMISE. Results The Dice scores for bone segmentations ranged from 0.88 to 0.95. The Dice scores of the PSMA PET/CT reference organs, thoracic aorta and liver, were 0.89 and 0.97, respectively. Dice scores of other visceral organs, including prostate, were observed to be above 0.79. The Pearson correlation for blood pool reference was higher between any manual reader and aPROMISE, than between any pair of manual readers. The standard deviations of reference organ uptake across all patients as determined by aPROMISE (SD = 0.21 blood pool and SD = 1.16 liver) were lower compared to those of the manual readers. Finally, the sensitivity of aPROMISE detection and pre-segmentation was 91.5% for regional lymph nodes, 90.6% for all lymph nodes, and 86.7% for bone in metastatic patients. Conclusion In this analytical study, we demonstrated the segmentation accuracy of the deep learning algorithm, the consistency in quantitative assessment across multiple readers, and the high sensitivity in detecting potential lesions. The study provides a foundational framework for clinical evaluation of aPROMISE in standardized reporting of PSMA PET/CT.
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- 2021
6. Blinded Clinical Evaluation for Dementia of Alzheimer’s Type Classification Using FDG-PET: A Comparison Between Feature-Engineered and Non-Feature-Engineered Machine Learning Methods
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Karteek Popuri, Stephan Probst, Evangeline Yee, Da Ma, Jane Stocks, Lisanne M. Jenkins, Guillaume Chaussé, Lei Wang, and Mirza Faisal Beg
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0301 basic medicine ,Neuroimaging ,Machine learning ,computer.software_genre ,Convolutional neural network ,Article ,Machine Learning ,03 medical and health sciences ,0302 clinical medicine ,Alzheimer Disease ,Fluorodeoxyglucose F18 ,Classifier (linguistics) ,Humans ,Medicine ,Dementia ,Cognitive Dysfunction ,Generalizability theory ,business.industry ,General Neuroscience ,Brain ,General Medicine ,medicine.disease ,Clinical Practice ,Psychiatry and Mental health ,Clinical Psychology ,030104 developmental biology ,Feature (computer vision) ,Positron-Emission Tomography ,Clinical diagnosis ,Neural Networks, Computer ,Artificial intelligence ,Radiopharmaceuticals ,Geriatrics and Gerontology ,business ,computer ,Clinical evaluation ,030217 neurology & neurosurgery - Abstract
Background: Advanced machine learning methods can aid in the identification of dementia risk using neuroimaging-derived features including FDG-PET. However, to enable the translation of these methods and test their usefulness in clinical practice, it is crucial to conduct independent validation on real clinical samples, which has yet to be properly delineated in the current literature. Objective: In this paper, we present our efforts to enable such clinical translational through the evaluation and comparison of two machine-learning methods for discrimination between dementia of Alzheimer’s type (DAT) and Non-DAT controls. Methods: FDG-PET-based dementia scores were generated on an independent clinical sample whose clinical diagnosis was blinded to the algorithm designers. A feature-engineered approach (multi-kernel probability classifier) and a non-feature-engineered approach (3D convolutional neural network) were analyzed. Both classifiers were pre-trained on cognitively normal subjects as well as subjects with DAT. These two methods provided a probabilistic dementia score for this previously unseen clinical data. Performance of the algorithms were compared against ground-truth dementia rating assessed by experienced nuclear physicians. Results: Blinded clinical evaluation on both classifiers showed good separation between the cognitively normal subjects and the patients diagnosed with DAT. The non-feature-engineered dementia score showed higher sensitivity among subjects whose diagnosis was in agreement between the machine-learning models, while the feature-engineered approach showed higher specificity in non-consensus cases. Conclusion: In this study, we demonstrated blinded evaluation using data from an independent clinical sample for assessing the performance in DAT classification models in a clinical setting. Our results showed good generalizability for two machine-learning approaches, marking an important step for the translation of pre-trained machine-learning models into clinical practice.
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- 2021
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7. Radiogenomic Models Using Machine Learning Techniques to Predict EGFR Mutations in Non-Small Cell Lung Cancer
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Stephan Probst, Connor C. McDougall, Jana Taylor, Umar Abid Saeed, B V S Raidu, Jay Kumar Raghavan Nair, Ali Sabri, Vera Hirsh, Jeffrey Chankowsky, Léon C van Kempen, Riaz Ahmed Khokhar, and Bojan Kovacina
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Male ,Lung Neoplasms ,Cell ,Radiogenomics ,non-small cell lung cancer (NSCLC) ,Computed tomography ,Sensitivity and Specificity ,030218 nuclear medicine & medical imaging ,Machine Learning ,03 medical and health sciences ,0302 clinical medicine ,Fluorodeoxyglucose F18 ,Predictive Value of Tests ,Carcinoma, Non-Small-Cell Lung ,Positron Emission Tomography Computed Tomography ,Image Interpretation, Computer-Assisted ,medicine ,Humans ,Imaging Genomics ,Radiology, Nuclear Medicine and imaging ,Lung cancer ,Lung ,Aged ,Retrospective Studies ,medicine.diagnostic_test ,business.industry ,Reproducibility of Results ,General Medicine ,medicine.disease ,ErbB Receptors ,medicine.anatomical_structure ,Egfr mutation ,030220 oncology & carcinogenesis ,Mutation ,Cancer research ,Female ,Non small cell ,Radiopharmaceuticals ,business - Abstract
Background: The purpose of this study was to build radiogenomics models from texture signatures derived from computed tomography (CT) and 18F-FDG PET-CT (FDG PET-CT) images of non-small cell lung cancer (NSCLC) with and without epidermal growth factor receptor ( EGFR) mutations. Methods: Fifty patients diagnosed with NSCLC between 2011 and 2015 and with known EGFR mutation status were retrospectively identified. Texture features extracted from pretreatment CT and FDG PET-CT images by manual contouring of the primary tumor were used to develop multivariate logistic regression (LR) models to predict EGFR mutations in exon 19 and exon 20. Results: An LR model evaluating FDG PET-texture features was able to differentiate EGFR mutant from wild type with an area under the curve (AUC), sensitivity, specificity, and accuracy of 0.87, 0.76, 0.66, and 0.71, respectively. The model derived from CT texture features had an AUC, sensitivity, specificity, and accuracy of 0.83, 0.84, 0.73, and 0.78, respectively. FDG PET-texture features that could discriminate between mutations in EGFR exon 19 and 21 demonstrated AUC, sensitivity, specificity, and accuracy of 0.86, 0.84, 0.73, and 0.78, respectively. Based on CT texture features, the AUC, sensitivity, specificity, and accuracy were 0.75, 0.81, 0.69, and 0.75, respectively. Conclusion: Non-small cell lung cancer texture analysis using FGD-PET and CT images can identify tumors with mutations in EGFR. Imaging signatures could be valuable for pretreatment assessment and prognosis in precision therapy.
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- 2021
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8. International Impact of COVID-19 on the Diagnosis of Heart Disease
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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, 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, 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, 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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, 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, 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, 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
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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.
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- 2021
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9. Physiologic prostate-specific membrane antigen-targeted 18F-DCFPyL uptake in the epididymis head newly appreciated on digital PET/CT
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Julia Singerman, Peter George Maliha, Stephan Probst, and Gad Abikhzer
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Glutamate Carboxypeptidase II ,Male ,Pathology ,medicine.medical_specialty ,Spleen ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Epididymis head ,Positron Emission Tomography Computed Tomography ,Glutamate carboxypeptidase II ,Humans ,Urea ,Medicine ,Distribution (pharmacology) ,Radiology, Nuclear Medicine and imaging ,In patient ,Aged ,Retrospective Studies ,Epididymis ,18F-DCFPyL ,PET-CT ,business.industry ,Lysine ,Biological Transport ,General Medicine ,Middle Aged ,medicine.anatomical_structure ,030220 oncology & carcinogenesis ,Antigens, Surface ,business - Abstract
PURPOSE The published physiological distribution of prostate specific membrane antigen (PSMA) PET ligands includes normal uptake in the lacrimal glands, salivary glands, bowel, liver, spleen, kidneys and parasympathetic ganglia but does not include the epididymis. METHODS Retrospective review of 134 PSMA-targeted 2-(3-(1-carboxy-5-[(6-[18F]fluoropyridine-3-carbonyl)-amino]-pentyl)-ureido)-pentanedioic acid (18F-DCFPyL) PET/CT scans performed on a latest generation digital scanner for radiotracer uptake in the epididymal head region was correlated with multiple clinical and laboratory factors. RESULTS Physiologic PSMA radiotracer uptake in the epididymal head region was present in 57% of all subjects, including 29% in those with a total serum testosterone ≤ 5 nmol/L and 65% of patients with serum testosterone > 5 nmol/L, odds ratio of 0.21 (P < 0.01). CONCLUSION Epididymal head uptake is physiologic and very common on digital PSMA PET/CT and is more frequent in patients with higher serum testosterone levels. The enhanced small structure detection of digital PET/CT is the most likely explanation for the novel visualization of this normal variant.
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- 2020
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10. Ureteral Metastasis From Prostate Cancer
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Brian Skinnider, Guillaume Chaussé, Gad Abikhzer, Stephan Probst, Juanita Crook, and Peter McL. Black
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Glutamate Carboxypeptidase II ,Male ,Prostate adenocarcinoma ,medicine.medical_specialty ,medicine.medical_treatment ,Urology ,urologic and male genital diseases ,Hydroureter ,030218 nuclear medicine & medical imaging ,Metastasis ,03 medical and health sciences ,Prostate cancer ,0302 clinical medicine ,Positron Emission Tomography Computed Tomography ,Left vas deferens ,Humans ,Medicine ,Radiology, Nuclear Medicine and imaging ,Pathological ,Aged ,Prostatectomy ,Salvage Therapy ,Ureteral Neoplasms ,business.industry ,Prostatic Neoplasms ,General Medicine ,medicine.disease ,030220 oncology & carcinogenesis ,Psma pet ,Antigens, Surface ,business - Abstract
A 72-year-old man with a history of prostate adenocarcinoma initially managed by radical prostatectomy and salvage radiation therapy underwent resection of a left vas deferens recurrence identified on PSMA PET. Despite an initial response, PSA failed to fall below 3.5 ng/L, prompting re-evaluation with PSMA PET/CT: a left distal hydroureter with presumed physiologic urine activity remains despite diuretic administration. Upon scrutiny of the prior PSMA PET/CT and diagnostic CTs, the distal ureteral uptake matched a subtle circumferential area of enhancing mild ureteral thickening. Pathological review after left uretectomy confirmed metastatic prostate cancer.
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- 2020
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11. 18F-FDG PET/CT versus conventional investigations for cancer screening in autoimmune inflammatory myopathy in the era of novel myopathy classifications
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Julia Singerman, Stephan Probst, Peter George Maliha, Marie Hudson, and Gad Abikhzer
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Male ,medicine.medical_specialty ,Computed tomography ,Autoimmune Diseases ,030218 nuclear medicine & medical imaging ,Cohort Studies ,Inflammatory myopathy ,03 medical and health sciences ,0302 clinical medicine ,Muscular Diseases ,Fluorodeoxyglucose F18 ,Neoplasms ,Positron Emission Tomography Computed Tomography ,Cancer screening ,Humans ,Mass Screening ,Medicine ,Radiology, Nuclear Medicine and imaging ,Myopathy ,Early Detection of Cancer ,Aged ,Retrospective Studies ,Positron Emission Tomography-Computed Tomography ,Inflammation ,medicine.diagnostic_test ,business.industry ,Retrospective cohort study ,General Medicine ,Middle Aged ,medicine.disease ,030220 oncology & carcinogenesis ,Female ,Fdg pet ct ,Radiology ,medicine.symptom ,business ,Cohort study - Abstract
To compare the performance of fluorine-18-fluorodeoxyglucose (F-FDG) PET/computed tomography (CT) and conventional tests for cancer screening in autoimmune inflammatory myopathy (AIM) patients.We carried out a retrospective cohort study of AIM patients from one academic center in Montreal, Canada, classified using myositis-specific antibodies, who underwent F-FDG PET/CT between April 2005 and February 2018 and were followed up on average 3.5±2.4 years. Patients were excluded if follow-up was insufficient, AIM diagnosis was indeterminate, and/or malignancy was diagnosed before an F-FDG PET/CT scan. Demographic/clinical data, F-FDG PET/CT results, and available conventional screening tests results were retrieved from electronic and paper medical records.100 F-FDG PET/CT studies in 63 unique patients [31/63 dermatomyositis (DM), 25/63 overlap myositis, 1/63 inclusion body myositis, 1/63 polymyositis, 1/63 orbital myositis and 4/63 unspecified myositis] were evaluated. Three patients, all classified as DM, were diagnosed with cancer during follow-up with conventional cancer screening tests: breast cancer detected by mammography; squamous cell carcinoma of the skin detected by physical examination; and multiple myeloma detected by blood work. F-FDG PET/CT did not detect any malignancy and led to more additional biopsies than conventional screening (8 vs. 5).F-FDG PET/CT does not appear to be useful in cancer screening for AIM patients compared with conventional screening and carries potential harms associated with follow-up investigations. The risk of cancer in AIM differs by myositis-specific antibodies-defined subsets and cancer screening is likely to be indicated only in high-risk patients, particularly DM. These results, replicated in larger, multicentered studies, may carry significant consequences for optimal management of AIM and health resource utilization.
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- 2019
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12. 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)
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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, 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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
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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.
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- 2021
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13. Sarcopenia in cardiac surgery: Dual X-ray absorptiometry study from the McGill frailty registry
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Gad Abikhzer, Jean-Francois Morin, Lawrence G. Rudski, Aayushi Joshi, Rita Mancini, Jonathan Afilalo, Yves Langlois, and Stephan Probst
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Male ,medicine.medical_specialty ,Canada ,Sarcopenia ,Prevalence ,030204 cardiovascular system & hematology ,03 medical and health sciences ,Coronary artery bypass surgery ,0302 clinical medicine ,Absorptiometry, Photon ,Predictive Value of Tests ,Internal medicine ,Medicine ,Humans ,030212 general & internal medicine ,Muscle Strength ,Registries ,Cardiac Surgical Procedures ,Mortality ,Correlation of Data ,Survival rate ,Geriatric Assessment ,Aged ,biology ,Frailty ,business.industry ,Hazard ratio ,Ammi ,Physical Functional Performance ,biology.organism_classification ,medicine.disease ,3. Good health ,Cardiac surgery ,Lower Extremity ,Cohort ,Body Composition ,Female ,Cardiology and Cardiovascular Medicine ,business ,human activities - Abstract
Background To determine the prevalence and prognostic value of sarcopenia measured by dual x-ray absorptiometry (DXA) and physical performance tests in patients undergoing coronary artery bypass surgery or heart valve procedures. Methods Adults undergoing cardiac surgery were prospectively enrolled and completed a questionnaire, physical performance battery, and a DXA scan (GE Lunar) to measure appendicular muscle mass indexed to height 2 (AMMI). Patients were categorized as sarcopenic based on European Working Group 2 guidelines if they had low AMMI defined as Results The cohort consisted of 141 patients with a mean age of 69.7 ± 10.0 years and 21% females. The prevalence rates of low AMMI, slow chair rise time, and sarcopenia (low AMMI and slow chair rise time) were 24%, 57%, 13%, respectively. The 4-year survival rate was 79% in the non-sarcopenic group as compared to 56% in the sarcopenic group (Log-rank P = 0.01). In the multivariable model, each standard deviation of decreasing AMMI and increasing chair rise time was associated with a hazard ratio for all-cause mortality of 1.84 (95% CI 1.18, 2.86) and 1.79 (95% CI 1.26, 2.54), respectively. Conclusion Lower-extremity muscle strength and DXA-based muscle mass are objective indicators of sarcopenia that are independently predictive of all-cause mortality in older cardiac surgery patients.
- Published
- 2021
14. Impact of COVID-19 on Diagnostic Cardiac Procedural Volume in Oceania: The IAEA Non-Invasive Cardiology Protocol Survey on COVID-19 (INCAPS COVID)
- Author
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O'Sullivan, P., Younger, J., Van Pelt, N., O'Malley, S., Lenturut-Katal, D., Hirschfeld, C. B., Vitola, J. V., Cerci, R., Williams, M. C., Shaw, L. J., Raggi, P., Villines, T. C., Dorbala, S., Choi, A. D., Cohen, Y., Goebel, B., Malkovskiy, E., Randazzo, M., Pascual, T. N. B., Pynda, Y., Dondi, M., Paez, D., Einstein, A. J., Better, N., 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 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, 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, 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 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
Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,Coronavirus disease 2019 (COVID-19) ,Cardiology ,coronavirus ,030204 cardiovascular system & hematology ,Transoesophageal echocardiography ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Health care ,Stress Echocardiography ,Humans ,Medicine ,030212 general & internal medicine ,cardiac investigations ,Pandemics ,Cardiac imaging ,Retrospective Studies ,Cardiac investigations ,Coronavirus ,COVID-19 ,medicine.diagnostic_test ,SARS-CoV-2 ,business.industry ,Non invasive ,cardiac imaging ,humans ,pandemics ,retrospective studies ,tomography, x-ray computed ,cardiology ,Positron emission tomography ,Original Article ,Tomography, X-Ray Computed ,Cardiology and Cardiovascular Medicine ,business ,Cardiac Diagnostic Procedure - Abstract
OBJECTIVES: The INCAPS COVID Oceania study aimed to assess the impact caused by the COVID-19 pandemic on cardiac procedure volume provided in the Oceania region. METHODS: A retrospective survey was performed comparing procedure volumes within March 2019 (pre-COVID-19) with April 2020 (during first wave of COVID-19 pandemic). Sixty-three (63) health care facilities within Oceania that perform cardiac diagnostic procedures were surveyed, including a mixture of metropolitan and regional, hospital and outpatient, public and private sites, and 846 facilities outside of Oceania. The percentage change in procedure volume was measured between March 2019 and April 2020, compared by test type and by facility. RESULTS: In Oceania, the total cardiac diagnostic procedure volume was reduced by 52.2% from March 2019 to April 2020, compared to a reduction of 75.9% seen in the rest of the world (p
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- 2021
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15. Weight loss as primary indication for FDG-PET/CT
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Stephan Probst, Peter George Maliha, and Julia Singerman
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Adult ,Male ,medicine.medical_specialty ,Computed tomography ,Malignancy ,030218 nuclear medicine & medical imaging ,Fluorodeoxyglucose positron emission tomography ,03 medical and health sciences ,0302 clinical medicine ,Weight loss ,Fluorodeoxyglucose F18 ,Neoplasms ,Positron Emission Tomography Computed Tomography ,Weight Loss ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,In patient ,False Positive Reactions ,Aged ,medicine.diagnostic_test ,business.industry ,General Medicine ,Middle Aged ,medicine.disease ,True negative ,030220 oncology & carcinogenesis ,Ct technique ,Fdg pet ct ,Female ,Radiology ,medicine.symptom ,business ,Follow-Up Studies - Abstract
Purpose Some consider fluorodeoxyglucose positron emission tomography with computed tomography (FDG-PET/CT) clinically useful in patients presenting with nonspecific symptoms of malignancy, weight loss most commonly encountered. However, the appropriateness of such FDG-PET/CT studies remains to be clarified. This study evaluated the clinical value of FDG-PET/CT in patients referred primarily for weight loss. Methods From 2010 to 2017 in one academic center, 252 subjects underwent 254 FDG-PET/CT studies for weight loss as primary indication and retrospectively studied. Eighteen subjects were excluded due to ongoing active malignancy, weight loss not ultimately being the main indication for the FDG-PET/CT, technically inadequate FDG-PET/CT and insufficient follow-up. The FDG-PET/CT scans were considered clinically beneficial when true positive for the cause of weight loss that other investigations missed or would have missed, clinically neutral when true negative and clinically detrimental when false positive leading to additional investigations or false negative. Results Ultimately 234 unique subjects (236 FDG-PET/CT studies) were included. The average subject weight loss prior to the PET was 12 kg and average follow-up time post FDG-PET/CT scan was 3.4 years. The FDG-PET/CT scans were true positive in 24 studies (10%) with 8 studies (3%) clinically beneficial; false positive in 38 studies (16%) of which 26 led to 35 additional procedures and false negative in 13 studies (6%). In total, 39 (17%) FDG-PET/CT studies were clinically detrimental. The other 149 (63%) studies were true negative, clinically neutral. Conclusion FDG-PET/CT appears to have limited value in assessing subjects with weight loss as the leading clinical indication, proving to be five times more often detrimental than beneficial.
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- 2020
16. Phase III randomized, double-blind study of paclitaxel with and without everolimus in patients with advanced gastric or esophagogastric junction carcinoma who have progressed after therapy with a fluoropyrimidine/platinum-containing regimen (RADPAC)
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Sylvie, Lorenzen, Jorge Riera, Knorrenschild, Claudia, Pauligk, Susanna, Hegewisch-Becker, Jörg, Seraphin, Peter, Thuss-Patience, Hans-Georg, Kopp, Tobias, Dechow, Arndt, Vogel, Kim Barbara, Luley, Daniel, Pink, Michael, Stahl, Frank, Kullmann, Holger, Hebart, Jens, Siveke, Matthias, Egger, Nils, Homann, Stephan, Probst, Thorsten Oliver, Goetze, and Salah-Eddin, Al-Batran
- Subjects
Adult ,Aged, 80 and over ,Male ,Mucositis ,Paclitaxel ,Kaplan-Meier Estimate ,Adenocarcinoma ,Middle Aged ,Progression-Free Survival ,Double-Blind Method ,Stomach Neoplasms ,Antineoplastic Combined Chemotherapy Protocols ,Disease Progression ,Humans ,Female ,Esophagogastric Junction ,Everolimus ,Aged - Abstract
The RADPAC trial evaluated paclitaxel with everolimus in patients with advanced gastroesophageal cancer (GEC) who have progressed after therapy with a fluoropyrimidine/platinum-containing regimen. Patients were randomly assigned to receive paclitaxel (80 mg/m
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- 2020
17. Unexpected locations of sentinel lymph nodes in endometrial cancer
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Zainab Amajoud, Stephan Probst, Walter H. Gotlieb, Jeremie Abitbol, Irina Boldeanu, Shannon Salvador, Jeffrey How, Emily How, Susie Lau, Sonya Brin, Ajay Halder, and Raphael Gotlieb
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Adult ,medicine.medical_specialty ,medicine.medical_treatment ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Internal iliac vein ,Humans ,Prospective Studies ,Lymph node ,Aged ,030219 obstetrics & reproductive medicine ,Sentinel Lymph Node Biopsy ,Parametrial ,business.industry ,Endometrial cancer ,Obstetrics and Gynecology ,Middle Aged ,Sentinel node ,medicine.disease ,Endometrial Neoplasms ,Dissection ,medicine.anatomical_structure ,Oncology ,030220 oncology & carcinogenesis ,Lymph Node Excision ,Female ,Lymphadenectomy ,Lymph ,Radiology ,Sentinel Lymph Node ,business - Abstract
Introduction To evaluate the anatomical location of sentinel lymph nodes (SLN) following intra-operative cervical injection in endometrial cancer. Methods All consecutive patients with endometrial cancer undergoing sentinel lymph node mapping were included in this prospective study following intra-operative cervical injection of tracers. Areas of SLN detection distribution were mapped. Results Among 436 patients undergoing SLN mapping, there were 1095 SLNs removed, and 7.9% of these SLNs found in 13.1% of patients, were detected in areas not routinely harvested during a standard lymph node dissection. These included the internal iliac vein, parametrial, and pre-sacral areas. The SLN was the only positive node in 46.1% (15/36) of cases with successful mapping and completion lymphadenectomy, including 3 cases where the sentinel node in the atypical location was the only node with metastatic disease. Conclusion SLN mapping using intra-operative cervical injection is capable to map out areas not typically included in a standard lymphadenectomy. The sentinel node is the most relevant lymph node to analyze and may enable to discover metastatic disease in unusual areas.
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- 2017
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18. Impact of sentinel lymph node mapping on recurrence patterns in endometrial cancer
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Alex Ferenczy, Asma Fatnassi, Walter H. Gotlieb, Jeremie Abitbol, Stephan Probst, Shannon Salvador, Raphael Gotlieb, Sonya Brin, Caroline Gauthier, Jeffrey How, Manuela Pelmus, and Susie Lau
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medicine.medical_specialty ,medicine.medical_treatment ,Sentinel lymph node ,Metastasis ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Adjuvant therapy ,Humans ,Aged ,Retrospective Studies ,030219 obstetrics & reproductive medicine ,Sentinel Lymph Node Biopsy ,business.industry ,Endometrial cancer ,Obstetrics and Gynecology ,Retrospective cohort study ,Middle Aged ,medicine.disease ,Endometrial Neoplasms ,Surgery ,Oncology ,030220 oncology & carcinogenesis ,Cohort ,Female ,Lymphadenectomy ,Radiology ,Neoplasm Recurrence, Local ,Sentinel Lymph Node ,business ,Cohort study - Abstract
Background Sentinel lymph node (SLN) mapping has emerged as a promising solution to the ongoing debate regarding lymphadenectomy in the initial surgical management of endometrial cancer. Currently, little is known about its possible impact on location of disease recurrence compared to systematic lymphadenectomy. Methods In this retrospective study, 472 consecutive patients with endometrial cancer who underwent either SLN mapping (SLN cohort, n =275) or systematic lymphadenectomy (LND cohort, n =197) from sequential, non-overlapping historical time points were compared. Clinical characteristics were extracted from a prospectively gathered electronic database. Both overall and pelvic sidewall recurrence free survival (RFS) were evaluated at 48-month post-operative follow-up. Results No significant difference in overall RFS could be identified between the cohorts at 48months (HR 0.74, 95% CI 0.43–1.28, p =0.29). However, the SLN cohort had improved pelvic sidewall RFS compared to the LND cohort (HR 0.32, 95% CI 0.14–0.74, p =0.007). The pelvic sidewall recurrences accounted for 30% of recurrences in the SLN cohort (8 out of 26 recurrences) compared to 71.4% in the LND cohort (20 out of 28 recurrences). Conclusions SLN mapping may enable more efficient detection of the LNs at greatest risk of metastasis and help to guide adjuvant therapy, which in turn seems to decrease the risk of pelvic sidewall recurrences.
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- 2017
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19. The semantic storage loss score: An Algorithm for measuring an individual's level of semantic storage loss due to temporal lobe damage in neurodegenerative disease
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Carlos Roncero, Howard Chertkow, Jim Nikelski, Stephan Probst, Alita Fernandez, and Alex Thiel
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Male ,Social Sciences ,Disease ,Neuropsychological Tests ,Alzheimer's Disease ,Primary progressive aphasia ,0302 clinical medicine ,Medical Conditions ,Cognition ,Learning and Memory ,Medicine and Health Sciences ,Semantic memory ,Brain Damage ,Aged, 80 and over ,Cognitive Impairment ,Cerebral Cortex ,Multidisciplinary ,Cognitive Neurology ,05 social sciences ,Brain ,Phonology ,Neurodegenerative Diseases ,Conceptual semantics ,respiratory system ,Temporal Lobe ,Semantics ,Neurology ,Frontotemporal Dementia ,Medicine ,Female ,Anatomy ,Psychology ,Algorithm ,Frontotemporal dementia ,Research Article ,Science ,Cognitive Neuroscience ,050105 experimental psychology ,Temporal lobe ,03 medical and health sciences ,Alzheimer Disease ,Memory ,Mental Health and Psychiatry ,medicine ,Humans ,0501 psychology and cognitive sciences ,Aged ,Biology and Life Sciences ,Linguistics ,medicine.disease ,Aphasia, Primary Progressive ,Positron-Emission Tomography ,Cognitive Science ,Dementia ,Conceptual Semantics ,030217 neurology & neurosurgery ,Neuroscience - Abstract
Anomia is common in Primary Progressive Aphasia (PPA), and there is considerable evidence that semantic problems (as opposed to impaired access to output word phonology) exist in many PPA individuals irrespective of their strict subtype, including a loss of representations from semantic memory, which is typical for people with the semantic variant of PPA. In this manuscript we present a straightforward novel clinical algorithm that quantifies this degree of semantic storage impairment. We sought to produce an algorithm by employing tasks that would measure key elements of semantic storage loss: a) whether an unrecalled name could be retrieved with cues; b) if performance for items was consistent across tasks; and c) the degree to which a participant's performance was related to general severity of cognitive impairment rather than semantic loss. More specifically, these tasks were given to 28 individuals with PPA (12 participants had a clinical diagnosis of atypical Alzheimer's Disease with the logopenic variant of PPA; the remaining 16 participants received a clinical diagnosis of Frontotemporal dementia (11 were classified as the non-fluent variant of PPA and five were the semantic variant of PPA). Scores from these tasks produced a single omnibus semantic memory storage loss score (SSL score) for each person that ranged from 0.0 to 1.0, with scores closer to 0 more indicative of semantic storage loss. Indeed, supporting the hypothesis that our scores measure the degree of semantic storage loss, we found participants with the semantic variant of PPA had the lowest scores, and SSL scores could predict the degree of hypometabolism in the anterior temporal lobe; even when only people with the logopenic variant of PPA were examined. Thus, these scores show promise quantitating the degree of a person's semantic representation loss.
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- 2019
20. Interrupted 131I Procedures for Patients With Differentiated Thyroid Cancer
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Gad Abikhzer, Michael Tamilia, Shawn Karls, and Stephan Probst
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Adult ,Male ,Oncology ,endocrine system ,medicine.medical_specialty ,endocrine system diseases ,Thyrotropin ,030209 endocrinology & metabolism ,Drug Administration Schedule ,030218 nuclear medicine & medical imaging ,law.invention ,Iodine Radioisotopes ,Thyroid carcinoma ,03 medical and health sciences ,0302 clinical medicine ,law ,Internal medicine ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Thyroid Neoplasms ,Thyroid cancer ,Aged ,Radiotherapy ,business.industry ,Incidence (epidemiology) ,Carcinoma ,Thyroid ,General Medicine ,Middle Aged ,medicine.disease ,Thyroxine ,medicine.anatomical_structure ,Endocrinology ,Recombinant DNA ,Female ,Human thyroid ,Radiopharmaceuticals ,business ,Hormone - Abstract
In patients with differentiated thyroid carcinoma scheduled to receive doses of I for diagnostic or therapeutic purposes, we compared patients prepared with thyroid hormone withdrawal (THW) versus recombinant human thyroid stimulating hormone (rh-TSH) to evaluate the incidence of cancelled procedures because of inadequate thyroid stimulation.Thyroid cancer patients after thyroidectomy who were scheduled for diagnostic or therapeutic I procedures between January 2012 and June 2015 were retrospectively reviewed. Patients were divided based on preparation modality (THW vs rh-TSH), and the incidence of cancelled procedures was compared.Charts from 761 patients were reviewed, 292 THW and 569 rh-TSH. A total of 10 patients (3.4%) in the THW group had cancelled procedures because of insufficient thyroid stimulation (TSH20 mU/L). If a TSH threshold of 30 mU/L were used, 57 patients (17.1%) would have been cancelled. Comparing the groups with chi-squared analysis for both TSH thresholds yielded significantly more cancellations in the THW group (P0.001).Our study has shown that THW in preparation for I procedures leads to significantly more cancellations because of insufficient thyroid stimulation as compared with rh-TSH, which led to no cancellations. The added cost and inconvenience to this cancer population should therefore be considered when selecting a preparation modality.Retrospective cohort-Level III.
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- 2017
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21. Splenic Hemangioma as a Potential Pitfall on PSMA-Targeted 18F-DCFPyL PET/CT
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Guillaume Chaussé, Gad Abikhzer, Stephan Probst, and Jerome Laufer
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Biochemical recurrence ,Glutamate Carboxypeptidase II ,Male ,medicine.medical_specialty ,medicine.medical_treatment ,Urology ,Spleen ,030218 nuclear medicine & medical imaging ,Androgen deprivation therapy ,03 medical and health sciences ,0302 clinical medicine ,Positron Emission Tomography Computed Tomography ,medicine ,Humans ,Urea ,Radiology, Nuclear Medicine and imaging ,Splenic Hemangioma ,Aged ,PET-CT ,medicine.diagnostic_test ,Prostatectomy ,business.industry ,Lysine ,Splenic Neoplasms ,Prostatic Neoplasms ,Magnetic resonance imaging ,General Medicine ,Magnetic Resonance Imaging ,Discontinuation ,medicine.anatomical_structure ,030220 oncology & carcinogenesis ,Antigens, Surface ,Radiopharmaceuticals ,business ,Hemangioma - Abstract
A 69-year-old man with biochemical recurrence after radical prostatectomy underwent 6 months of androgen deprivation therapy. Upon discontinuation of androgen deprivation therapy, serum prostate-specific antigen rose again to 0.69 ng/mL, and F-DCFPyL PET/CT was performed to identify the site of recurrence. However, only an intense focus of uptake in the spleen could be found. Subsequent contrast-enhanced MRI findings were pathognomonic for splenic hemangioma.
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- 2018
22. Small Lymph Node Metastasis Detected by 68Ga-Prostate-Specific Membrane Antigen But Not 18F-Fluciclovine PET/CT in Low-Prostate-Specific Antigen Biochemical Recurrence of Prostate Cancer
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Guillaume Chaussé, Gad Abikhzer, and Stephan Probst
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Biochemical recurrence ,Male ,medicine.medical_specialty ,medicine.medical_treatment ,Urology ,Carboxylic Acids ,Gallium Radioisotopes ,urologic and male genital diseases ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,Prostate cancer ,0302 clinical medicine ,Recurrence ,Positron Emission Tomography Computed Tomography ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Lymph node ,Edetic Acid ,Gallium Isotopes ,Salvage Therapy ,PET-CT ,business.industry ,Prostatectomy ,Prostatic Neoplasms ,General Medicine ,Middle Aged ,Prostate-Specific Antigen ,medicine.disease ,Radiation therapy ,Prostate-specific antigen ,medicine.anatomical_structure ,Prostate Bed ,030220 oncology & carcinogenesis ,Lymphatic Metastasis ,business ,Oligopeptides ,Cyclobutanes - Abstract
A 58-year-old man with Gleason 4+3 prostate cancer was initially treated by radical prostatectomy followed by salvage radiotherapy to the prostate bed for postoperative biochemical failure. One year later, F-fluorocholine PET/CT detected a pelvic lymph node recurrence, which was treated with radiation therapy and 6 months of androgen deprivation. PSA started to rise again 18 months later, but F-fluciclovine PET/CT failed to demonstrate the site of recurrence at a PSA of 0.63 ng/mL. However, Ga-PSMA PET/CT revealed a single positive 4-mm perirectal lymph node (PSA 0.80 ng/mL at time of scan), in retrospect anatomically apparent but negative on F-fluciclovine PET/CT.
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- 2018
23. Comparing indocyanine green, technetium, and blue dye for sentinel lymph node mapping in endometrial cancer
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Alex Ferenczy, Joshua Z. Press, Jeffrey How, Sonya Brin, Jeremie Abitbol, Stephan Probst, Susie Lau, Raphael Gotlieb, Walter H. Gotlieb, and Manuela Pelmus
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Indocyanine Green ,medicine.medical_specialty ,medicine.medical_treatment ,Sentinel lymph node ,chemistry.chemical_element ,Technetium ,Metastasis ,chemistry.chemical_compound ,Uterine cancer ,Technetium-99 ,medicine ,Humans ,Coloring Agents ,Radionuclide Imaging ,Sentinel Lymph Node Biopsy ,business.industry ,Endometrial cancer ,Obstetrics and Gynecology ,Middle Aged ,medicine.disease ,Endometrial Neoplasms ,Surgery ,Oncology ,chemistry ,Technetium Tc 99m Sulfur Colloid ,Female ,Lymphadenectomy ,Lymph Nodes ,Radiopharmaceuticals ,Nuclear medicine ,business ,Indocyanine green - Abstract
Background and aims With the debate over extent of lymphadenectomy in endometrial cancer, sentinel lymph node (SLN) mapping may provide a focused approach to evaluate the most relevant lymph nodes (LN) while minimizing the complications. We evaluated SLN mapping using filtered technetium 99 , indocyanine green (ICG), and blue dye. Methods Prospective evaluation of 100 patients who underwent SLN mapping by using submucosal and deep stromal cervical injections of technetium 99 , ICG, and blue dye as part of the staging for endometrial cancer. Results 286 SLNs were mapped (2.9 per patient) in 92% of patients. The bilateral detection rate was 76%. ICG had a significantly higher SLN detection rate than blue dye in both overall (87% vs 71%, respectively; p=0.005) and bilateral (65% vs 43%, respectively; p=0.002) detection, but similar SLN detection rates compared to technetium 99 in both overall (87% vs 88%, respectively; p=0.83) and bilateral (65% vs 71%, respectively; p=0.36) detection. In eight cases, the SLN was in the para-aortic area and in 14 cases in the pre-sacral, hypogastric vein, or parametrial area. In nine cases, the SLN was positive for metastasis, and in seven cases the SLN was the only positive node. One SLN was falsely negative. No complications or anaphylactic reactions occurred. Conclusion Intra-operative SLN mapping using cervical injection is feasible in patients with endometrial cancer and yields adequate detection rates. It allows mapping of SLNs in areas (pre-sacral, hypogastric vein, parametrial) not routinely sampled. Given the poorer performance of blue dye, surgeons may omit its use if a combination of ICG and technetium 99 is used.
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- 2015
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24. Biopsy-Proven Diffuse Mediastinal Prostate Cancer Metastases Negative on 18F-Fluorocholine, Diagnosed on 68Ga-PSMA and 18F-PSMA PET/CT
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Stephan Probst, Tamim Niazi, Guillaume Chaussé, and Gad Abikhzer
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Male ,medicine.medical_specialty ,Fluorine Radioisotopes ,medicine.medical_treatment ,Biopsy ,Gallium Radioisotopes ,Malignancy ,Mediastinal Neoplasms ,030218 nuclear medicine & medical imaging ,Choline ,03 medical and health sciences ,Prostate cancer ,0302 clinical medicine ,Positron Emission Tomography Computed Tomography ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Stage (cooking) ,Lymph node ,Edetic Acid ,Gallium Isotopes ,Aged ,Prostatectomy ,medicine.diagnostic_test ,business.industry ,Prostatic Neoplasms ,Magnetic resonance imaging ,General Medicine ,medicine.disease ,Magnetic Resonance Imaging ,medicine.anatomical_structure ,Prostate Bed ,030220 oncology & carcinogenesis ,Radiology ,business ,Oligopeptides - Abstract
A 72-year-old man with prostate cancer (stage T3b, Gleason score 7) treated by radical prostatectomy was found to have biochemical failure (prostate-specific antigen 8.5 ng/mL) and a suspicious growing nodularity at the left prostate bed on MRI. F-fluorocholine PET/CT failed to demonstrate any site of uptake suggestive of malignancy. A bone scan did exclude bone metastases. Ga-PSMA PET/CT revealed various positive lymph nodes in the supraclavicular, mediastinal, and hilar regions. This was confirmed on F-DCFPyl PET/CT, with the addition of a suspicious right axillary lymph node. Mediastinal biopsy confirmed metastatic prostate cancer.
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- 2017
25. Effect of Neoadjuvant Chemotherapy Followed by Surgical Resection on Survival in Patients With Limited Metastatic Gastric or Gastroesophageal Junction Cancer: The AIO-FLOT3 Trial
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Nicole Prasnikar, Stefan Berkhoff, Wolfgang Fischbach, Harald Schmalenberg, Thomas Kraus, Kersten Grimm, Markus Moehler, Matthias Egger, Claudia Pauligk, Salah-Eddin Al-Batran, Uwe M. Martens, Nils Homann, Jörg T. Hartmann, Dirk Arnold, Stephan Probst, Stefan Mönig, Helmut Messmann, Jan Stoehlmacher, Gerald Illerhaus, Ulrich Ronellenfitsch, Elke Jäger, Frank Mayer, Kim Barbara Luley, Michael Koenigsmann, Ralf Hofheinz, Heinz-Gert Höffkes, Stefan Post, and Wolf O. Bechstein
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Cancer Research ,Lung Neoplasms ,Organoplatinum Compounds ,medicine.medical_treatment ,Leucovorin ,Docetaxel ,Gastroesophageal Junction Adenocarcinoma ,Lung Neoplasms / drug therapy ,Fluorouracil / administration & dosage ,0302 clinical medicine ,Quimioterapia Adjuvante ,Antineoplastic Combined Chemotherapy Protocols / adverse effects ,Antineoplastic Combined Chemotherapy Protocols ,Clinical endpoint ,Medicine ,Liver Neoplasms / drug therapy ,Prospective Studies ,Neoadjuvant therapy ,Peritoneal Neoplasms ,Original Investigation ,Aged, 80 and over ,ddc:617 ,Liver Neoplasms / surgery ,Liver Neoplasms ,Adenocarcinoma / surgery ,Middle Aged ,Chemotherapy regimen ,Lung Neoplasms / surgery ,Neoadjuvant Therapy ,Oxaliplatin ,Survival Rate ,Oncology ,Chemotherapy, Adjuvant ,030220 oncology & carcinogenesis ,Lymphatic Metastasis ,Adenocarcinoma / drug therapy ,030211 gastroenterology & hepatology ,Taxoids ,Esophagogastric Junction ,Fluorouracil ,Metastasectomy ,medicine.drug ,Peritoneal Neoplasms / surgery ,Adult ,medicine.medical_specialty ,Stomach Neoplasms / drug therapy ,Adenocarcinoma ,03 medical and health sciences ,Young Adult ,Liver Neoplasms / secondary ,Peritoneal Neoplasms / drug therapy ,Gastrectomy ,Stomach Neoplasms ,Antineoplastic Combined Chemotherapy Protocols / therapeutic use ,Neoplasias Gástricas ,Humans ,Survival rate ,Taxoids / administration & dosage ,Aged ,Neoplasm Staging ,Leucovorin / administration & dosage ,business.industry ,Adenocarcinoma / secondary ,Surgery ,Organoplatinum Compounds / administration & dosage ,Peritoneal Neoplasms / secondary ,Lung Neoplasms / secondary ,Terapia Neoadjuvante ,business ,Stomach Neoplasms / pathology ,Stomach Neoplasms / surgery - Abstract
IMPORTANCE: Surgical resection has a potential benefit for patients with metastatic adenocarcinoma of the stomach and gastroesophageal junction. OBJECTIVE: To evaluate outcome in patients with limited metastatic disease who receive chemotherapy first and proceed to surgical resection. DESIGN, SETTING, AND PARTICIPANTS: The AIO-FLOT3 (Arbeitsgemeinschaft Internistische Onkologie-fluorouracil, leucovorin, oxaliplatin, and docetaxel) trial is a prospective, phase 2 trial of 252 patients with resectable or metastatic gastric or gastroesophageal junction adenocarcinoma. Patients were enrolled from 52 cancer care centers in Germany between February 1, 2009, and January 31, 2010, and stratified to 1 of 3 groups: resectable (arm A), limited metastatic (arm B), or extensive metastatic (arm C). Data cutoff was January 2012, and the analysis was performed in March 2013. INTERVENTIONS: Patients in arm A received 4 preoperative cycles of fluorouracil, leucovorin, oxaliplatin, and docetaxel (FLOT) followed by surgery and 4 postoperative cycles. Patients in arm B received at least 4 cycles of neoadjuvant FLOT and proceeded to surgical resection if restaging (using computed tomography and magnetic resonance imaging) showed a chance of margin-free (R0) resection of the primary tumor and at least a macroscopic complete resection of the metastatic lesions. Patients in arm C were offered FLOT chemotherapy and surgery only if required for palliation. Patients received a median (range) of 8 (1-15) cycles of FLOT. MAIN OUTCOMES AND MEASURES: The primary end point was overall survival. RESULTS: In total, 238 of 252 patients (94.4%) were eligible to participate. The median (range) age of participants was 66 (36-79) years in arm A (n = 51), 63 (28-79) years in arm B (n = 60), and 65 (23-83) years in arm C (n = 127). Patients in arm B (n = 60) had only retroperitoneal lymph node involvement (27 patients [45%]), liver involvement (11 [18.3%]), lung involvement (10 [16.7%]), localized peritoneal involvement (4 [6.7%]), or other (8 [13.3%]) incurable sites. Median overall survival was 22.9 months (95% CI, 16.5 to upper level not achieved) for arm B, compared with 10.7 months (95% CI, 9.1-12.8) for arm C (hazard ratio, 0.37; 95% CI, 0.25-0.55) (P
- Published
- 2017
26. Asthmatic Exacerbation as a Cause of False-Positive Whole-Body Iodine Scan in a Patient With Treated Papillary Thyroid Carcinoma
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Tina Kader, Stephan Probst, Guillaume Chaussé, and Gad Abikhzer
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Adult ,Thorax ,medicine.medical_specialty ,Exacerbation ,medicine.medical_treatment ,Thyroglobulin ,030218 nuclear medicine & medical imaging ,Papillary thyroid cancer ,Thyroid carcinoma ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Carcinoma ,Humans ,False Positive Reactions ,Whole Body Imaging ,Radiology, Nuclear Medicine and imaging ,Thyroid Neoplasms ,Thyroid cancer ,Asthma ,business.industry ,General Medicine ,medicine.disease ,Carcinoma, Papillary ,Thyroid Cancer, Papillary ,030220 oncology & carcinogenesis ,Female ,Radiology ,Tomography, X-Ray Computed ,business - Abstract
A 44-year-old woman was found to have new diffuse lung uptake on a follow-up whole-body I scan 1 year after being treated with surgery and radioactive iodine for papillary thyroid cancer. However, subsequent CT thorax and thyroglobulin levels were both unremarkable. Shortly after, she presented with respiratory symptoms, exhibiting end-expiratory wheezing on auscultation. Metacholine challenge test confirmed asthma. Symptoms improved under inhaled corticosteroids and beta-2 agonists. Resolution of lung uptake was confirmed on a second I imaging 6 months later.
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- 2018
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27. The feasibility of triple-drug chemotherapy combination in older adult patients with oesophagogastric cancer: A randomised trial of the Arbeitsgemeinschaft Internistische Onkologie (FLOT65+)
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Kim Barbara Luley, Salah-Eddin Al-Batran, Markus Moehler, Ralf Hofheinz, Jan Stoehlmacher-Williams, Elke Jäger, Carsten Bokemeyer, Volker Rethwisch, Stephan Probst, Nils Homann, Frank Kullmann, Rolf Mahlberg, Claudia Pauligk, Jörg T. Hartmann, Stephan Hollerbach, and Nicole Prasnikar
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Male ,Cancer Research ,medicine.medical_specialty ,Esophageal Neoplasms ,Organoplatinum Compounds ,medicine.medical_treatment ,Leucovorin ,Docetaxel ,Adenocarcinoma ,Internal medicine ,Antineoplastic Combined Chemotherapy Protocols ,medicine ,Humans ,Prospective Studies ,Prospective cohort study ,Survival rate ,Aged ,Neoplasm Staging ,Chemotherapy ,business.industry ,Cancer ,Prognosis ,medicine.disease ,Surgery ,Oxaliplatin ,Discontinuation ,Survival Rate ,Oncology ,Tolerability ,Quality of Life ,Feasibility Studies ,Female ,Taxoids ,Neoplasm Recurrence, Local ,business ,Follow-Up Studies ,medicine.drug - Abstract
We evaluated the feasibility and tolerability of triple- versus double-drug chemotherapy in elderly patients with oesophagogastric cancer.Patients aged 65 years or older with locally advanced or metastatic oesophagogastric cancer were stratified and randomised to infusional 5-FU, leucovorin and oxaliplatin without (FLO) or with docetaxel 50 mg/m(2) (FLOT) every 2 weeks. The study is registered at ClinicalTrials.gov, identifier NCT00737373.One hundred and forty three (FLO, 71; FLOT, 72) patients with a median age of 70 years were enrolled. The triple combination was associated with more treatment-related National Cancer Institute Common Toxicity Criteria (NCI-CTC) grade 3/4 adverse events (FLOT, 81.9%; FLO, 38.6%; P.001) and more patients experiencing a ≥10-points deterioration of European Organization for Research and Treatment of Cancer Quality of Life (EORTC QoL) global health status scores (FLOT, 47.5%; FLO 20.5%; p=.011). The triple combination was associated with more alopecia (P.001), neutropenia (P.001), leukopenia (P.001), diarrhoea (P=.006) and nausea (P=.029).). No differences were observed in treatment duration and discontinuation due to toxicity, cumulative doses or toxic deaths between arms. The triple combination improved response rates and progression-free survival in the locally advanced subgroup and in the subgroup of patients aged between 65 and 70 years but not in the metastatic group or in patients aged 70 years and older.The triple-drug chemotherapy was feasible in elderly patients with oesophagogastric cancer. However, toxicity was significantly increased and QoL deteriorated in a relevant proportion of patients.The study was partially funded by Sanofi-Aventis.
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- 2013
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28. [Considering diversity in nursing and palliative care - the example of migrants]
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Patrick, Brzoska, Yüce, Yilmaz-Aslan, and Stephan, Probst
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Transients and Migrants ,Germany ,Palliative Care ,Emigrants and Immigrants ,Humans ,Delivery of Health Care - Abstract
Our society is characterized by increasing diversity. Immigrants greatly contribute to this diversification. Currently, one fifth of the population in Germany is considered to be of immigrant origin. Healthcare needs of immigrants are often not sufficiently taken into account by healthcare institutions. This may result in many barriers encountered by immigrants in the healthcare system, which may affect the utilization and quality of care. These barriers are particularly pronounced in nursing and palliative care. Current strategies aiming to reduce these barriers are limited as they often only focus on culture and religion, thereby neglecting the role of other diversity dimensions, such as sex and socioeconomic status. Diversity management is able to overcome these shortcomings by implementing conditions in healthcare institutions which promote awareness and openness towards the diversity of healthcare clients. This can improve the quality of care and can contribute to patient-oriented healthcare.
- Published
- 2016
29. Colonic manifestation of a haematologic disorder
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Stephan Probst, Polymnia Galiatsatos, and Melika Hosseina
- Subjects
Adult ,medicine.medical_specialty ,business.industry ,digestive, oral, and skin physiology ,Gastroenterology ,Protein C Deficiency ,Colonoscopy ,medicine.disease ,Thrombosis ,Surgery ,Varicose Veins ,03 medical and health sciences ,0302 clinical medicine ,Protein C deficiency ,030220 oncology & carcinogenesis ,Internal medicine ,medicine ,Humans ,030211 gastroenterology & hepatology ,Right lower quadrant pain ,Female ,Varices ,business ,Cecum - Abstract
A 32year-old female presenting with right lower quadrant pain was found to have caecal varices. Extensive work-up revealed underlying protein C deficiency.
- Published
- 2016
30. Follicular lymphoma transforming into diffuse large B-cell lymphoma in spleen: Simultaneous appearance of both on
- Author
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William, Makis, Anthony, Ciarallo, Tina, Petrogiannis-Haliotis, Arthur, Rosenberg, and Stephan, Probst
- Subjects
Male ,Lymphoma, Non-Hodgkin ,Cell Transformation, Neoplastic ,Fluorodeoxyglucose F18 ,Positron Emission Tomography Computed Tomography ,Positron-Emission Tomography ,Splenectomy ,Humans ,Lymphoma, Large B-Cell, Diffuse ,Radiopharmaceuticals ,Tomography, X-Ray Computed ,Lymphoma, Follicular ,Spleen ,Aged ,Retrospective Studies - Abstract
Low grade lymphoma may transform into a more aggressive lymphoma and this transformation is usually associated with a poor outcome. A 65year old man presented with two metabolically active splenic lesions on a staging [18F] fluoro-2-deoxy-d-glucose (
- Published
- 2016
31. Histopathological regression after neoadjuvant docetaxel, oxaliplatin, fluorouracil, and leucovorin versus epirubicin, cisplatin, and fluorouracil or capecitabine in patients with resectable gastric or gastro-oesophageal junction adenocarcinoma (FLOT4-AIO): results from the phase 2 part of a multicentre, open-label, randomised phase 2/3 trial
- Author
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Jörg Trojan, Matthias Egger, Michael Pohl, Mark Sievert, Timo Gaiser, Dirk Behringer, Elke Jäger, Salah-Eddin Al-Batran, Alfred Königsrainer, Uwe M. Martens, Karel Caca, Michael Heike, Katja Zirlik, Wolfgang Fischbach, Andrea Tannapfel, Gerald Illerhaus, Wolf O. Bechstein, Ulrich Ronellenfitsch, Alexander Reichart, Stephan Probst, Georg Martin Haag, Kim Barbara Luley, Nils Homann, Andreas Block, Sylvie Lorenzen, Peter Schirmacher, Stefan Mönig, Thorsten Oliver Goetze, Martin Schuler, Michael Koenigsmann, Harald Schmalenberg, Wael Hozaeel, Wolff Schmiegel, Hans-Georg Kopp, Ralf Hofheinz, Michael R. Clemens, Claudia Pauligk, Rolf Mahlberg, Johannes Meiler, and Nicole Prasnikar
- Subjects
Male ,Esophageal Neoplasms ,Leucovorin ,Medizin ,Docetaxel ,Adenocarcinoma / pathology ,Gastroenterology ,0302 clinical medicine ,Antineoplastic Combined Chemotherapy Protocols ,Antineoplastic Combined Chemotherapy Protocols / adverse effects ,Esophageal Neoplasms / pathology ,Esophageal Neoplasms / surgery ,education.field_of_study ,Esophageal Neoplasms / drug therapy ,ddc:617 ,Adenocarcinoma / surgery ,Middle Aged ,Neoadjuvant Therapy ,Oncology ,Fluorouracil ,030220 oncology & carcinogenesis ,Adenocarcinoma / drug therapy ,030211 gastroenterology & hepatology ,Taxoids ,Female ,Esophagogastric Junction ,Cisplatin / administration & dosage ,medicine.drug ,Epirubicin ,Adult ,medicine.medical_specialty ,Population ,Context (language use) ,Stomach Neoplasms / drug therapy ,Adenocarcinoma ,Capecitabine ,03 medical and health sciences ,Stomach Neoplasms ,Internal medicine ,Antineoplastic Combined Chemotherapy Protocols / therapeutic use ,medicine ,Humans ,education ,Aged ,Taxoids / administration & dosage ,Leucovorin / administration & dosage ,business.industry ,Interim analysis ,Surgery ,Oxaliplatin ,Cisplatin ,business ,Stomach Neoplasms / pathology ,Epirubicin / administration & dosage ,Stomach Neoplasms / surgery - Abstract
Background: Docetaxel-based chemotherapy is effective in metastatic gastric and gastro-oesophageal junction adenocarcinoma, but has not yet been evaluated in the context of resectable patients. Here we report findings from the phase 2 part of the phase 2/3 FLOT4 trial, which compared histopathological regression in patients treated with a docetaxel-based triplet chemotherapy versus an anthracycline-based triplet chemotherapy before surgical resection.Methods: In this randomised, open-label, phase 2/3 study, eligible participants were recruited from 28 German oncology centres. Patients with resectable gastric or gastro-oesophageal junction cancer who had clinical stage cT2 or higher, nodal positive (cN+) disease, or both were randomly assigned (1:1) to either three preoperative and three postoperative 3-week cycles of intravenous epirubicin 50 mg/m2on day 1, intravenous cisplatin 60 mg/m2on day 1, and either fluorouracil 200 mg/m2as continuous intravenous infusion or capecitabine 1250 mg/m2orally (two doses of 625 mg/m2per day) on days 1 to 21 (ECF/ECX group) or four preoperative and four postoperative 2-week cycles of docetaxel 50 mg/m2, intravenous oxaliplatin 85 mg/m2, intravenous leucovorin 200 mg/m2, and fluorouracil 2600 mg/m2as a 24 h infusion, all on day 1 (FLOT group). Randomisation was done centrally with an interactive web-response system based on a sequence generated with blocks (block size 2) stratified by Eastern Cooperative Oncology Group performance status, location of primary tumour, age, and nodal status. No masking was done. Central assessment of pathological regression was done according to the Becker criteria. The primary endpoint was pathological complete regression (tumour regression grade TRG1a) and was analysed in the modified intention-to-treat population, defined as all patients who were randomly assigned to treatment excluding patients who had surgery but did not provide resection specimens for central evaluation. The study (including the phase 3 part) has completed enrolment, but follow-up is ongoing and this is an interim analysis. The trial is registered with ClinicalTrials.gov, number NCT01216644. Findings: Between Aug 18, 2010, and Aug 10, 2012, 300 patients (152 patients in the ECF/ECX group; 148 patients in the FLOT group) were enrolled into the phase 2 part of the study, 265 of whom (137 in the ECF/ECX group; 128 in the FLOT group) were assessable on a modified intention-to-treat basis. 119 (93%) of 128 patients in the FLOT group and 126 (92%) of 137 patients in the ECF/ECX group were given all planned preoperative cycles of treatment. FLOT was associated with significantly higher proportions of patients achieving pathological complete regression than was ECF/ECX (20 [16%; 95% CI 10-23] of 128 patients vs eight [6%; 3-11] of 137 patients; p=0·02). 44 (40%) of 111 patients in the ECF/ECX group and 30 (25%) of 119 patients in the FLOT group had at least one serious adverse event involving a perioperative medical or surgical complication. The most common non-surgical grade 3-4 adverse events were neutropenia (52 [38%] of 137 patients in the ECF/ECX group vs 67 [52%] of 128 patients in the FLOT group), leucopenia (28 [20%] vs 36 [28%]), nausea (23 [17%] vs 12 [9%]), infection (16 [12%] vs 15 [12%]), fatigue (19 [14%] vs 11 [9%]), and vomiting (13 [10%] vs four [3%]). Interpretation: Perioperative FLOT was active and feasible to administer, and might represent an option for patients with locally advanced, resectable gastric or gastro-eosophageal junction adenocarcinoma.
- Published
- 2016
32. Spectrum of malignant renal and urinary bladder tumors on 18F-FDG PET/CT: a pictorial essay
- Author
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Jerry Stern, Christopher Rush, William Makis, Robert Lisbona, Anthony Ciarallo, Javier-A. Novales-Diaz, Vilma Derbekyan, Marc Hickeson, Rajan Rakheja, and Stephan Probst
- Subjects
Adult ,Male ,medicine.medical_specialty ,Malignancy ,Multimodal Imaging ,Fluorodeoxyglucose F18 ,Humans ,Medicine ,Radiology, Nuclear Medicine and imaging ,Ct findings ,Aged ,Aged, 80 and over ,PET-CT ,Urinary bladder ,business.industry ,fungi ,food and beverages ,Middle Aged ,Urinary Bladder Tumors ,Image enhancement ,Image Enhancement ,medicine.disease ,Kidney Neoplasms ,medicine.anatomical_structure ,Urinary Bladder Neoplasms ,Positron-Emission Tomography ,Female ,Fdg pet ct ,Radiology ,Radiopharmaceuticals ,Tomography, X-Ray Computed ,business ,Urinary bladder disease - Abstract
A wide variety of malignant renal and urinary bladder diseases can be detected on (18)F-FDG PET/CT. Although the PET/CT findings are often nonspecific, the aim of this atlas was to demonstrate that the spectrum of renal and urinary bladder malignancy that can be evaluated with PET/CT is much broader than current medical literature would suggest. PET/CT readers and oncologists should be aware of the variety of urological tumor types that can be detected on PET/CT and some of the patterns of (18)F-FDG uptake that can be observed in these cases.
- Published
- 2012
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- View/download PDF
33. Extraosseous Extension of Aggressive Vertebral Hemangioma as a Potential Pitfall on 68Ga-PSMA PET/CT
- Author
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Franck Bladou, Gad Abikhzer, and Stephan Probst
- Subjects
Male ,medicine.medical_specialty ,Gallium Radioisotopes ,urologic and male genital diseases ,030218 nuclear medicine & medical imaging ,Hemangioma ,03 medical and health sciences ,Prostate cancer ,0302 clinical medicine ,Positron Emission Tomography Computed Tomography ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Vertebral hemangioma ,Edetic Acid ,Gallium Isotopes ,Aged ,PET-CT ,medicine.diagnostic_test ,business.industry ,68ga psma ,Prostatic Neoplasms ,Soft tissue ,Magnetic resonance imaging ,General Medicine ,medicine.disease ,Magnetic Resonance Imaging ,Spine ,030220 oncology & carcinogenesis ,Lumbar spine ,Radiology ,Nuclear medicine ,business ,Oligopeptides - Abstract
A 74-year-old man with newly diagnosed prostate cancer underwent Ga-PSMA PET/CT, which demonstrated intense uptake in and adjacent the L2 vertebral body. Subsequent MRI of the lumbar spine showed an aggressive L2 hemangioma with adjacent soft tissue extension. There was congruence of the intraosseous and extraosseous components of the hemangioma and the PSMA PET uptake. This is a rare but important potential pitfall in Ga-PSMA PET/CT-a soft tissue lesion with intense tracer uptake related not to a nodal metastasis of prostate cancer but to extraosseous extension of an aggressive vertebral body hemangioma.
- Published
- 2017
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34. Antisperm antibodies and microorganisms in genital secretions-a clinically significant relationship?
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R. Rusu, Gerhard Rohr, Benno Runnebaum, Johannes Aufenanger, Detlef Petzoldt, Traute Demirakca, W. Eggert-Kruse, M. Hund, and Stephan Probst
- Subjects
Adult ,Male ,Infertility ,Urology ,Chlamydia trachomatis ,Inflammation ,Semen ,Asymptomatic ,Endocrinology ,Albumins ,Leukocytes ,medicine ,Humans ,Sex organ ,Prospective Studies ,Infertility, Male ,Autoantibodies ,Subclinical infection ,biology ,Albumin ,Bacterial Infections ,Complement C3 ,General Medicine ,Chlamydia Infections ,Middle Aged ,medicine.disease ,Antibodies, Bacterial ,Spermatozoa ,Immunology ,Cervix Mucus ,biology.protein ,Female ,Antibody ,medicine.symptom ,Leukocyte Elastase - Abstract
In asymptomatic infertility patients, no significant relationship was found between the presence of antisperm antibodies (ASA) in serum and in semen samples (IgG and/or IgA ASA), differentiated with the mixed antiglobulin reaction (MAR), and the microbial colonization of ejaculates covering a broad spectrum of microorganisms. Likewise, there was no significant association of ASA with microbial findings in patients' female partners, who also presented without symptoms of genital tract infection and were screened at the same time. Furthermore, ASA in semen (IgG and IgA) were not significantly related to several potential markers of subclinical male sexual gland infection or inflammation (leukocytes, PMN elastase, albumin, C3c) evaluated in aliquots of the same ejaculates used for immunological testing.
- Published
- 2009
- Full Text
- View/download PDF
35. Phase III Trial in Metastatic Gastroesophageal Adenocarcinoma with Fluorouracil, Leucovorin Plus Either Oxaliplatin or Cisplatin: A Study of the Arbeitsgemeinschaft Internistische Onkologie
- Author
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Salah-Eddin, Al-Batran, Joerg Thomas, Hartmann, Stephan, Probst, Harald, Schmalenberg, Stephan, Hollerbach, Ralf, Hofheinz, Volker, Rethwisch, Gernot, Seipelt, Nils, Homann, Gerhard, Wilhelm, Gunter, Schuch, Jan, Stoehlmacher, Hans Günter, Derigs, Susanna, Hegewisch-Becker, Johannes, Grossmann, Claudia, Pauligk, Akin, Atmaca, Carsten, Bokemeyer, Alexander, Knuth, Elke, Jäger, Wolfgang, Dippold, and University of Zurich
- Subjects
Adult ,Male ,Cancer Research ,medicine.medical_specialty ,Esophageal Neoplasms ,Organoplatinum Compounds ,Nausea ,medicine.drug_class ,medicine.medical_treatment ,Leucovorin ,610 Medicine & health ,Kaplan-Meier Estimate ,Adenocarcinoma ,Gastroenterology ,Antimetabolite ,Thymidylate synthase ,Drug Administration Schedule ,Stomach Neoplasms ,Germany ,Internal medicine ,Antineoplastic Combined Chemotherapy Protocols ,Humans ,Medicine ,1306 Cancer Research ,Aged ,Aged, 80 and over ,Cisplatin ,Chemotherapy ,biology ,business.industry ,Middle Aged ,Surgery ,Oxaliplatin ,Treatment Outcome ,Oncology ,Fluorouracil ,10032 Clinic for Oncology and Hematology ,Vomiting ,biology.protein ,2730 Oncology ,Female ,Esophagogastric Junction ,medicine.symptom ,business ,medicine.drug - Abstract
Purpose This study was designed to compare fluorouracil, leucovorin, and oxaliplatin with fluorouracil, leucovorin, and cisplatin in patients with advanced gastric cancer. Patients and Methods Patients with previously untreated advanced adenocarcinoma of the stomach or esophagogastric junction were randomly assigned to receive either fluorouracil 2,600 mg/m2 via 24-hour infusion, leucovorin 200 mg/m2, and oxaliplatin 85 mg/m2 (FLO) every 2 weeks or fluorouracil 2,000 mg/m2 via 24-hour infusion, leucovorin 200 mg/m2 weekly, and cisplatin 50 mg/m2 every 2 weeks (FLP). The primary end point was progression-free survival (PFS). Results Two hundred twenty patients (median age, 64 years; metastatic, 94%) were randomly assigned. FLO was associated with significantly less (any grade) anemia (54% v 72%), nausea (53% v 70%), vomiting (31% v 52%), alopecia (22% v 39%), fatigue (19% v 34%), renal toxicity (11% v 34%), thromboembolic events (0.9% v 7.8%), and serious adverse events related to the treatment (9% v 19%). FLP was associated with significantly less peripheral neuropathy (22% v 63%). There was a trend toward improved median PFS with FLO versus FLP (5.8 v 3.9 months, respectively; P = .077) and no significant difference in median overall survival (10.7 v 8.8 months, respectively). However, in patients older than 65 years (n = 94), treatment with FLO resulted in significantly superior response rates (41.3% v 16.7%; P = .012), time to treatment failure (5.4 v 2.3 months; P < .001), and PFS (6.0 v 3.1 month; P = .029) and an improved OS (13.9 v 7.2 months) as compared with FLP, respectively. Conclusion FLO reduced toxicity as compared with FLP. In older adult patients, FLO also seemed to be associated with improved efficacy.
- Published
- 2008
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36. 18F-FDG PET/CT Imaging of Bilateral Renal Metastasis of Breast Adenoid Cystic Carcinoma
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Jerome Laufer, Stephan Probst, Yazan Z. Alabed, Hani Hassoun, and Shawn Karls
- Subjects
medicine.medical_specialty ,Adenoid cystic carcinoma ,medicine.medical_treatment ,Breast Neoplasms ,Multimodal Imaging ,behavioral disciplines and activities ,030218 nuclear medicine & medical imaging ,Metastasis ,03 medical and health sciences ,0302 clinical medicine ,Fluorodeoxyglucose F18 ,Biopsy ,medicine ,Carcinoma ,Humans ,Radiology, Nuclear Medicine and imaging ,Aged ,Lung ,medicine.diagnostic_test ,business.industry ,General Medicine ,medicine.disease ,Carcinoma, Adenoid Cystic ,Kidney Neoplasms ,stomatognathic diseases ,medicine.anatomical_structure ,Positron emission tomography ,Positron-Emission Tomography ,030220 oncology & carcinogenesis ,Female ,Fdg pet ct ,Radiology ,Radiopharmaceuticals ,Tomography, X-Ray Computed ,business ,Mastectomy - Abstract
We report the case of a 65-year-old woman with a history of adenoid cystic carcinoma (ACC) of the breast. Fifteen years after mastectomy, the patient underwent a right upper lobectomy for a lung mass, and biopsy indicated ACC metastasis. Ten years after lobectomy, an F-FDG PET/CT was performed for restaging to rule out further metastases. We observed intense FDG uptake in enlarged polylobulated kidneys, which was biopsy proven as ACC metastasis.
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- 2016
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37. Atypical bisphosphonate-associated subtrochanteric and femoral shaft stress fractures: diagnostic features on bone scan
- Author
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Stephan Probst, Rajan Rakheja, and Jerry Stern
- Subjects
medicine.medical_specialty ,Bone disease ,Fractures, Stress ,Femoral shaft ,medicine.medical_treatment ,Multimodal Imaging ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Femur ,Aged ,Hip fracture ,Stress fractures ,Endosteal thickening ,Hip ,medicine.diagnostic_test ,Diphosphonates ,business.industry ,Hip Fractures ,General Medicine ,Bisphosphonate ,medicine.disease ,Bone scintigraphy ,Positron-Emission Tomography ,Orthopedic surgery ,Female ,Radiology ,business ,Tomography, X-Ray Computed - Abstract
A 69-year-old woman presented with a spontaneous right subtrochanteric hip fracture. Pan-imaging following orthopedic repair failed to identify a primary malignancy to explain the presumed pathologic basis for this fracture. The patient then underwent bone scintigraphy and SPECT/CT which showed mild uptake in multifocal endosteal thickening of the lateral left femoral diaphysis, diagnostic of bisphosphonate-associated femoral shaft stress fractures, but no evidence of metastatic bone disease. Atypical bisphosphonate-associated subtrochanteric and femoral shaft stress fractures have a fairly specific appearance on bone scintigraphy, and nuclear medicine physicians should be aware of this relatively infrequent emerging pathology.
- Published
- 2013
38. Screening for subclinical inflammation in ejaculates
- Author
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Stephan Probst, Gerhard Rohr, Waltraud Eggert-Kruse, Benno Runnebaum, and Johannes Aufenanger
- Subjects
Adult ,Male ,Infertility ,Physical examination ,Semen ,Biology ,Andrology ,Leukocyte Count ,Albumins ,medicine ,Humans ,Ejaculation ,Clinical significance ,Prospective Studies ,Prospective cohort study ,Infertility, Male ,Subclinical infection ,Inflammation ,Bacteria ,Pancreatic Elastase ,medicine.diagnostic_test ,Albumin ,Antibodies, Monoclonal ,Obstetrics and Gynecology ,Cell Differentiation ,Bacterial Infections ,Middle Aged ,medicine.disease ,Immunohistochemistry ,Spermatozoa ,Sperm ,Immunoglobulin A ,Reproductive Medicine ,Immunoglobulin G ,Immunology ,Cervix Mucus ,Female ,Genital Diseases, Male ,Granulocytes - Abstract
Objective To determine the clinical significance of albumin determination in ejaculates by means of an easy office test to screen semen samples for subclinical infection-inflammation. Patients One hundred fifty-nine randomly chosen males of couples with longstanding infertility (median duration of infertility 4 years (range 1 to 19 years) without clinical signs or symptoms of genital tract infection. Setting Outpatient Infertility Clinic of the University of Heidelberg, Germany. Main Outcome Measures Screening of ejaculates for subclinical infection-inflammation by means of a ready-to-use kit for semiquantitative detection of albumin in addition to determination of leukocytes rates by means of monoclonal antibodies for differentiation of round cells and measurement of granulocyte elastase concentration in semen samples. Evaluation of sperm quality by means of standard sperm analysis including determination of local antisperm antibodies with the mixed antiglobulin reaction, evaluation of sperm functional capacity in vitro with the standardized sperm-cervical mucus (CM) penetration test, and semen cultures. All tests were performed from aliquots of the same ejaculates. Results Screening of semen samples for elevated albumin with the modified paper strips proved to be very easy, quick, and suitable for routine use. Positive results were not related markedly to medical history and outcome of clinical examination as well as to standard parameters of sperm analysis and were not influenced by local antisperm antibodies of the immunoglobulin (Ig)G and/or IgA class and microbial colonization. However, albumin-positive semen samples were significantly less frequent in case of very good outcome of the sperm-CM penetration test. A significant relationship was found with high rates of leukocytes of the round cells in semen samples (total range 0% to 96%) and the concentration of granulocyte elastase (total range 1 to 880 μ g/L). Conclusions The results of this prospective study suggest that the determination of albumin in semen samples with ready-to-use test kits might be a valuable additional marker for subclinical infection-inflammation of the male genital tract and therefore suitable for screening during infertility investigation.
- Published
- 1995
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39. Accuracy of sentinel lymph node detection following intra-operative cervical injection for endometrial cancer: a prospective study
- Author
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Sonya Brin, Stephan Probst, Walter H. Gotlieb, Susie Lau, Manuela Pelmus, Jeffrey How, Jerry Stern, Nancy Drummond, Joshua Z. Press, and Alex Ferenczy
- Subjects
Adult ,medicine.medical_specialty ,medicine.medical_treatment ,Sentinel lymph node ,Hysterectomy ,Sensitivity and Specificity ,Injections ,Pelvis ,Predictive Value of Tests ,Biopsy ,medicine ,Rosaniline Dyes ,Humans ,Prospective Studies ,Prospective cohort study ,Coloring Agents ,Radionuclide Imaging ,Lymph node ,False Negative Reactions ,Aged ,Neoplasm Staging ,Aged, 80 and over ,medicine.diagnostic_test ,business.industry ,Endometrial cancer ,Obstetrics and Gynecology ,Robotics ,Middle Aged ,medicine.disease ,Surgery ,Endometrial Neoplasms ,medicine.anatomical_structure ,Oncology ,Predictive value of tests ,Lymphatic Metastasis ,Technetium Tc 99m Sulfur Colloid ,Lymph Node Excision ,Lymphadenectomy ,Female ,Radiology ,Lymph Nodes ,Radiopharmaceuticals ,business - Abstract
Objective The objective of this study is to evaluate the detection rate and diagnostic accuracy of sentinel lymph node (SLN) mapping using intra-operative cervical injection of filtered 99mTc-sulfur colloid (99mTc-SC) and patent blue in patients with endometrial cancer. Methods Prospective evaluation of the first 100 endometrial cancer patients undergoing SLN mapping using cervical injection of patent blue combined with filtered 99mTc-SC in the operating room was done. Patients underwent robotic-assisted lymphatic mapping with frozen section, hysterectomy, BSO, and completion bilateral lymphadenectomy (including para-aortic nodes in grade 2 and 3 tumors). Results At least one SLN was detected in 92% of patients; in 66 of these (72%) bilateral SLN were detected, and in 15 cases the SLN was in the para-aortic area. Eleven percent of all patients had lymph node metastases, and 4 of which had pre-operative grade 1 tumor. The SLN was the only positive node in 44% of the cases with positive nodes. Sensitivity was 89% with 1 false negative result, yielding a negative predictive value of 99% (95% CI 93–100). Specificity was 100% (95% CI 94–100), and positive predictive value was 100% (95% CI 60–100). No complications or anaphylactic reactions were noted. Conclusions Intra-operative SLN biopsy, using cervical injection of patent blue and filtered 99mTc-SC in endometrial cancer patients is feasible and yields adequate detection rates.
- Published
- 2012
40. Round cell liposarcoma presenting as an FDG-positive primary with an FDG-negative retroperitoneal metastasis: a pitfall for F-18 FDG PET/CT imaging
- Author
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Rajan Rakheja, Marc Hickeson, Gad Abikhzer, William Makis, Ayoub Nahal, Stephan Probst, and Yazan Z. Alabed
- Subjects
Adult ,Male ,medicine.medical_specialty ,business.industry ,Retroperitoneal metastasis ,General Medicine ,Round Cell Liposarcoma ,Liposarcoma ,F 18 fdg pet ct ,Multimodal Imaging ,Diagnosis, Differential ,Text mining ,Fluorodeoxyglucose F18 ,Positron-Emission Tomography ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Radiology ,Retroperitoneal Neoplasms ,business ,Tomography, X-Ray Computed - Published
- 2011
41. The appearance of cardiac metastasis from squamous cell carcinoma of the lung on F-18 FDG PET/CT and post hoc PET/MRI
- Author
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Stephan Probst, Bradley Spieler, Kent Friedman, Alexandra Seltzer, and Abraham Chachoua
- Subjects
Aged, 80 and over ,Diagnostic Imaging ,medicine.medical_specialty ,Squamous-cell carcinoma of the lung ,Lung Neoplasms ,Post hoc ,business.industry ,General Medicine ,F 18 fdg pet ct ,Magnetic Resonance Imaging ,Heart Neoplasms ,Text mining ,Fluorodeoxyglucose F18 ,Positron-Emission Tomography ,medicine ,Cardiac metastasis ,Carcinoma, Squamous Cell ,Image Processing, Computer-Assisted ,Humans ,Radiology, Nuclear Medicine and imaging ,Female ,Radiology ,business ,Tomography, X-Ray Computed - Published
- 2011
42. Azygos venous tumor thrombus from renal cell carcinoma detected by F-18 FDG PET/CT
- Author
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Alexandra Seltzer, Kent Friedman, Stephan Probst, and Abraham Chachoua
- Subjects
medicine.medical_specialty ,urologic and male genital diseases ,Inferior vena cava ,Renal Veins ,Tumor thrombus ,Renal cell carcinoma ,Fluorodeoxyglucose F18 ,medicine ,Carcinoma ,Humans ,Radiology, Nuclear Medicine and imaging ,Carcinoma, Renal Cell ,Aged, 80 and over ,Venous Thrombosis ,medicine.diagnostic_test ,business.industry ,General Medicine ,medicine.disease ,Vascular Neoplasms ,medicine.anatomical_structure ,medicine.vein ,Positron emission tomography ,Azygos Vein ,Positron-Emission Tomography ,cardiovascular system ,Abdomen ,Female ,Radiology ,Renal vein ,Azygos vein ,business ,Tomography, X-Ray Computed - Abstract
An 81-year-old woman with renal cell carcinoma (RCC) underwent F-18 FDG PET/CT for staging, which demonstrated intense uptake in a dilated azygos vein, in the inferior vena cava (IVC), and in the known large left RCC. Contrast-enhanced CT of the chest and abdomen obtained in the days following confirmed the presence of tumor thrombus in the dilated azygos system, IVC, and the contiguous left renal vein. This case serves as a reminder that special attention should always be paid to the renal vein, IVC, and adjoining venous drainage pathways for abnormal FDG activity while imaging RCC, as the diagnosis of venous tumor thrombus has important clinical ramifications.
- Published
- 2010
43. Tc-99m sestamibi SPECT/CT with volumetric reconstruction for radioguided occult lesion localization and surgical excision of melanoma metastasis
- Author
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Kent Friedman, Jessica Lee, Russell S. Berman, Ting Tu, and Stephan Probst
- Subjects
Technetium Tc 99m Sestamibi ,Tomography, Emission-Computed, Single-Photon ,medicine.medical_specialty ,business.industry ,Melanoma ,General Medicine ,Middle Aged ,medicine.disease ,Occult ,Metastasis ,Volumetric reconstruction ,Lesion ,Surgery, Computer-Assisted ,medicine ,Image Processing, Computer-Assisted ,Humans ,Radiology, Nuclear Medicine and imaging ,Surgical excision ,Female ,Radiology ,medicine.symptom ,Neoplasm Metastasis ,business ,Tomography, X-Ray Computed - Published
- 2010
44. Unusual appearance of hyperintense hemangiomata on Tc-99m colloid SPECT/CT
- Author
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Rajan Rakheja, Robert Lisbona, and Stephan Probst
- Subjects
Adult ,Tomography, Emission-Computed, Single-Photon ,business.industry ,Liver Neoplasms ,General Medicine ,Organotechnetium Compounds ,Colloid ,Medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Female ,Colloids ,business ,Nuclear medicine ,Hemangioma ,Tomography, X-Ray Computed - Published
- 2010
45. Intrathoracic gastric activity of Tc-99m sestamibi in a patient with gastric pull-up for esophageal cancer
- Author
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Gordon Crelinsten, Rajan Rakheja, Marc Hickeson, Yazan Z. Alabed, and Stephan Probst
- Subjects
Oncology ,Male ,Technetium Tc 99m Sestamibi ,medicine.medical_specialty ,Esophageal Neoplasms ,Gastric pull-up ,Myocardial perfusion imaging ,Internal medicine ,medicine ,Carcinoma ,Humans ,Radiology, Nuclear Medicine and imaging ,Aged ,Incidental Findings ,medicine.diagnostic_test ,business.industry ,Stomach ,Myocardial Perfusion Imaging ,General Medicine ,Esophageal cancer ,Thorax ,medicine.disease ,Enterogastric reflex ,Etiology ,Tracer uptake ,Carcinoma, Squamous Cell ,Radiology ,business - Abstract
A 69-year-old man with remote gastric pull-up was evaluated with a 2-day stress-rest dypiridamole Tc-99m sestamibi myocardial perfusion imaging, where significant tracer uptake was noted in the posterior mediastinum related to enterogastric reflux of sestamibi. These ancillary findings were suggestive of a noncardiac etiology of the patient's atypical chest pain. This case highlights the value of examining the raw projection images for incidental findings that may be present during myocardial perfusion imaging.
- Published
- 2009
46. Biweekly fluorouracil, leucovorin, oxaliplatin, and docetaxel (FLOT) for patients with metastatic adenocarcinoma of the stomach or esophagogastric junction: a phase II trial of the Arbeitsgemeinschaft Internistische Onkologie
- Author
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Stephan Probst, Elke Jäger, N. Homann, Salah-Eddin Al-Batran, R.D. Hofheinz, G. Seipelt, Claudia Pauligk, Jan Stoehlmacher, Akin Atmaca, M. Sievert, M. Fritz, Joerg T. Hartmann, R. Mahlberg, Volker Rethwisch, and Michael R. Clemens
- Subjects
Oncology ,Adult ,Male ,medicine.medical_specialty ,Esophageal Neoplasms ,Organoplatinum Compounds ,medicine.medical_treatment ,Leucovorin ,Phases of clinical research ,Docetaxel ,Neutropenia ,Adenocarcinoma ,Gastroenterology ,Disease-Free Survival ,Drug Administration Schedule ,Stomach Neoplasms ,Internal medicine ,Antineoplastic Combined Chemotherapy Protocols ,medicine ,Humans ,Progression-free survival ,Neoplasm Metastasis ,Aged ,Chemotherapy ,business.industry ,Hematology ,Middle Aged ,medicine.disease ,Chemotherapy regimen ,Oxaliplatin ,Fluorouracil ,Female ,Taxoids ,Esophagogastric Junction ,business ,medicine.drug - Abstract
Background The combination of docetaxel (Taxotere), cisplatin, and fluorouracil improved efficacy in gastric cancer, but was associated with substantial toxicity. This study was designed to incorporate docetaxel into a tolerable biweekly (once every 2 weeks) oxaliplatin-based chemotherapy regimen. Patients and methods Patients with measurable, metastatic adenocarcinoma of the stomach or esophagogastric junction and no prior chemotherapy received oxaliplatin 85 mg/m2, leucovorin 200 mg/m2, and fluorouracil 2600 mg/m2 as a 24-h infusion in combination with docetaxel 50 mg/m2 (FLOT) on day 1 every 2 weeks. Prophylactic growth factors were not administered. Results Fifty-nine patients were enrolled; 54 received treatment. Patients had a median age of 60 years (range 29–76) and most (93%) of them had metastatic disease. Objective responses were observed in 57.7% of patients with a median time to treatment response of 1.54 months. Median progression-free survival (PFS) and overall survival were 5.2 and 11.1 months, respectively. Twenty-five percent of patients experienced prolonged (>12 months) PFS. Frequent (>10%) grade 3 or 4 toxic effects included neutropenia in 26 (48.1%), leukopenia in 15 (27.8%), diarrhea in 8 (14.8%), and fatigue in 6 (11.1%) patients. Complicated neutropenia was observed in two (3.8%) patients, only. Conclusions Biweekly FLOT is active and has a favorable safety profile.
- Published
- 2008
47. The Appearance of Epidural Extranodal Marginal Zone Lymphoma (MALToma) on F-18 FDG PET/CT and Post Hoc PET/MRI Fusion
- Author
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Stephan Probst, Jason Mayo, Tibor Moskovits, and Kent Friedman
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Adult ,medicine.medical_specialty ,Post hoc ,Marginal zone lymphoma ,Fluorodeoxyglucose F18 ,X ray computed ,Image Processing, Computer-Assisted ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,medicine.diagnostic_test ,business.industry ,Magnetic resonance imaging ,Lymphoma, B-Cell, Marginal Zone ,General Medicine ,medicine.disease ,Magnetic Resonance Imaging ,F 18 fdg pet ct ,Lymphoma ,Positron emission tomography ,Positron-Emission Tomography ,Female ,Epidural Neoplasms ,Radiology ,Tomography ,Tomography, X-Ray Computed ,Nuclear medicine ,business - Published
- 2011
- Full Text
- View/download PDF
48. C-MYC expression in medulloblastoma and its prognostic value
- Author
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Pablo Hernáiz-Driever, Bernd Wilken, Iris Neidt, Thomas Schröder, Stephan Probst-Cousin, Bernhard Lüscher, Markus Bergmann, Torsten Pietsch, Folker Hanefeld, Jochen Herms, Peter Schürmann, Hans A. Kretzschmar, Annete Sommer, and Julianne Behnke
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Adult ,Male ,Cancer Research ,Pathology ,medicine.medical_specialty ,Adolescent ,Gene Dosage ,Genes, myc ,Gene dosage ,Gene expression ,Gene duplication ,medicine ,Humans ,Copy-number variation ,Cerebellar Neoplasms ,Child ,Medulloblastoma ,Oncogene ,biology ,Infant ,Middle Aged ,medicine.disease ,Prognosis ,Survival Rate ,Real-time polymerase chain reaction ,Oncology ,Child, Preschool ,Synaptophysin ,biology.protein ,Cancer research ,Female - Abstract
To identify prognostic factors in medulloblastoma, a common malignant brain tumor of childhood, expression of the oncogene c-myc was examined at the mRNA level by in situ hybridization. c-myc mRNA expression was observed in 30 of 72 tumors (42%). The c-myc gene copy number was determined by quantitative PCR from genomic DNA of paraffin-embedded tumors. c-myc gene amplification was present in 5 of 62 cases (8.3%). Therefore, c-myc amplification was obviously not the cause of c-myc mRNA expression in most samples. Kaplan-Meier estimation revealed a significant correlation between c-myc mRNA expression and survival (total mean follow-up 4.6 +/- 3.6 years, log-rank p = 0.02). Multivariate logistic regression analysis including sex, age, histological type, degree of surgical resection and expression of synaptophysin, GFAP and c-myc, was carried out on 54 patients who received both radiotherapy and chemotherapy. The analysis identified expression of c-myc as an independent predictive factor of death from disease.
- Published
- 2000
49. Pulmonary Hypertension Findings Detected by F-18 FDG PET Scan
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Yael Abikhzer, Stephan Probst, and Christopher Rush
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business.industry ,Hypertension, Pulmonary ,General Medicine ,F 18 fdg pet ,medicine.disease ,Pulmonary hypertension ,Fluorodeoxyglucose F18 ,Positron-Emission Tomography ,medicine ,Humans ,Female ,Radiology, Nuclear Medicine and imaging ,Radiopharmaceuticals ,business ,Nuclear medicine ,Aged - Published
- 2008
- Full Text
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50. Induction of immunoresponse by subclinical male genital tract infection?
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Stephan Probst, Wolfgang Tilgen, W. Eggert-Kruse, Benno Runnebaum, and Gerhard Rohr
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Adult ,Male ,Semen ,Inflammation ,Cervix Uteri ,Immunoglobulin E ,Infections ,Asymptomatic ,Random Allocation ,medicine ,Humans ,Prospective Studies ,Prospective cohort study ,Infertility, Male ,Subclinical infection ,Autoantibodies ,biology ,Pancreatic Elastase ,Obstetrics and Gynecology ,Middle Aged ,Spermatozoa ,Reproductive Medicine ,Immunology ,Male genital duct ,biology.protein ,Female ,Antibody ,medicine.symptom ,Genital Diseases, Male ,Leukocyte Elastase - Abstract
Objective To determine the relationship of subclinical infection or inflammation of the male genital tract, as evaluated with seminal markers, with local antisperm antibodies as potential parameter of immunoresponse. Patients One hundred ninety-one randomly chosen males of subfertile couples who were asymptomatic in terms of genital tract infection. Setting Outpatient Infertility Clinic of the University of Heidelberg, Germany. Main Outcome Measures Determination of leukocytes rates in semen using an immunocy- tochemical method for differentiation of round cells and measurement of polymorphonuclear (PMN) granulocyte elastase concentration in seminal plasma in addition to semen cultures as screening for subclinical infection of the male genital tract. Determination of local antisperm antibodies (Ab) with the mixed antiglobulin reaction ([MAR] immunoglobulin [Ig] G and IgA) in aliquots of the same ejaculates. Results Leukocyte rates of the round cells ranged from 0% to 93%, leukocytospermia was found in 6.8%. This was not related significantly to the presence of local antisperm antibodies of the IgG or IgA class. There was also no significant association of antisperm Ab with the concentration of PMN granulocyte elastase in seminal plasma and the outcome of semen cultures. Conclusions The results of this prospective study suggest that when the rate or number of leukocytes or the concentration of PMN elastase in semen are taken as markers for subclinical infection or inflammation of the male genital tract, this is not associated significantly with the production of local antisperm Ab of the IgG or IgA class as indicator of immunoreaction.
- Published
- 1996
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