31 results on '"Milena Petranovic"'
Search Results
2. Handheld Lung Ultrasound to Detect COVID-19 Pneumonia in Inpatients: A Prospective Cohort Study
- Author
-
Thomas Heyne, Kay Negishi, Daniel Choi, Ahad Al Saud, Lucas Marinacci, Patrick Smithedajkul, Lily Devaraj, Brent Little, Dexter Mendoza, Efren Flores, Milena Petranovic, Steven Toal, Hamid Shokoohi, Andrew Liteplo, and Benjamin Geisler
- Subjects
Internal Medicine ,Point of Care Ultrasound(POCUS) ,ultra-portable ,handheld ultrasound ,COVID-19 ,tomography ,Internal medicine ,RC31-1245 ,Medical technology ,R855-855.5 - Abstract
Background: Chest imaging, including chest X-ray (CXR) and computed tomography (CT), can be a helpful adjunct to nucleic acid test (NAT) in the diagnosis and management of Coronavirus Disease 2019 (COVID-19). Lung point of care ultrasound (POCUS), particularly with handheld devices, is an imaging alternative that is rapid, highly portable, and more accessible in low-resource settings. A standardized POCUS scanning protocol has been proposed to assess the severity of COVID-19 pneumonia, but it has not been sufficiently validated to assess diagnostic accuracy for COVID-19 pneumonia. Purpose: To assess the diagnostic performance of a standardized lung POCUS protocol using a handheld POCUS device to detect patients with either a positive NAT or a COVID-19-typical pattern on CT scan. Methods: Adult inpatients with confirmed or suspected COVID-19 and a recent CT were recruited from April to July 2020. Twelve lung zones were scanned with a handheld POCUS machine. Images were reviewed independently by blinded experts and scored according to the proposed protocol. Patients were divided into low, intermediate, and high suspicion based on their POCUS score. Results: Of 79 subjects, 26.6% had a positive NAT and 31.6% had a typical CT pattern. The receiver operator curve for POCUS had an area under the curve (AUC) of 0.787 for positive NAT and 0.820 for a typical CT. Using a two-point cutoff system, POCUS had a sensitivity of 0.90 and 1.00 compared to NAT and typical CT pattern, respectively, at the lower cutoff; it had a specificity of 0.90 and 0.89 compared to NAT and typical CT pattern at the higher cutoff, respectively. Conclusions: The proposed lung POCUS protocol with a handheld device showed reasonable diagnostic performance to detect inpatients with a positive NAT or typical CT pattern for COVID-19. Particularly in low-resource settings, POCUS with handheld devices may serve as a helpful adjunct for persons under investigation for COVID-19 pneumonia.
- Published
- 2023
- Full Text
- View/download PDF
3. Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach
- Author
-
Joowon Chung, Doyun Kim, Jongmun Choi, Sehyo Yune, Kyoung Doo Song, Seonkyoung Kim, Michelle Chua, Marc D. Succi, John Conklin, Maria G. Figueiro Longo, Jeanne B. Ackman, Milena Petranovic, Michael H. Lev, and Synho Do
- Subjects
Medicine ,Science - Abstract
Abstract Risk prediction requires comprehensive integration of clinical information and concurrent radiological findings. We present an upgraded chest radiograph (CXR) explainable artificial intelligence (xAI) model, which was trained on 241,723 well-annotated CXRs obtained prior to the onset of the COVID-19 pandemic. Mean area under the receiver operating characteristic curve (AUROC) for detection of 20 radiographic features was 0.955 (95% CI 0.938–0.955) on PA view and 0.909 (95% CI 0.890–0.925) on AP view. Coexistent and correlated radiographic findings are displayed in an interpretation table, and calibrated classifier confidence is displayed on an AI scoreboard. Retrieval of similar feature patches and comparable CXRs from a Model-Derived Atlas provides justification for model predictions. To demonstrate the feasibility of a fine-tuning approach for efficient and scalable development of xAI risk prediction models, we applied our CXR xAI model, in combination with clinical information, to predict oxygen requirement in COVID-19 patients. Prediction accuracy for high flow oxygen (HFO) and mechanical ventilation (MV) was 0.953 and 0.934 at 24 h and 0.932 and 0.836 at 72 h from the time of emergency department (ED) admission, respectively. Our CXR xAI model is auditable and captures key pathophysiological manifestations of cardiorespiratory diseases and cardiothoracic comorbidities. This model can be efficiently and broadly applied via a fine-tuning approach to provide fully automated risk and outcome predictions in various clinical scenarios in real-world practice.
- Published
- 2022
- Full Text
- View/download PDF
4. Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study
- Author
-
Maliazurina B Saad, PhD, Lingzhi Hong, MD, Muhammad Aminu, MD, Natalie I Vokes, MD, Pingjun Chen, PhD, Morteza Salehjahromi, PhD, Kang Qin, MD, Sheeba J Sujit, PhD, Xuetao Lu, PhD, Elliana Young, MS, Qasem Al-Tashi, PhD, Rizwan Qureshi, PhD, Carol C Wu, ProfMD, Brett W Carter, ProfMD, Steven H Lin, ProfMD, Percy P Lee, ProfMD, Saumil Gandhi, MD, Joe Y Chang, ProfMD, Ruijiang Li, PhD, Michael F Gensheimer, MD, Heather A Wakelee, ProfMD, Joel W Neal, MD, Hyun-Sung Lee, MD, Chao Cheng, PhD, Vamsidhar Velcheti, ProfMD, Yanyan Lou, MD, Milena Petranovic, MD, Waree Rinsurongkawong, PhD, Xiuning Le, MD, Vadeerat Rinsurongkawong, PhD, Amy Spelman, PhD, Yasir Y Elamin, MD, Marcelo V Negrao, MD, Ferdinandos Skoulidis, MD, Carl M Gay, MD, Tina Cascone, MD, Mara B Antonoff, MD, Boris Sepesi, MD, Jeff Lewis, BS, Ignacio I Wistuba, ProfMD, John D Hazle, ProfPhD, Caroline Chung, MD, David Jaffray, ProfPhD, Don L Gibbons, ProfMD, Ara Vaporciyan, ProfMD, J Jack Lee, ProfPhD, John V Heymach, ProfMD, Jianjun Zhang, MD, and Jia Wu, PhD
- Subjects
Computer applications to medicine. Medical informatics ,R858-859.7 - Abstract
Summary: Background: Only around 20–30% of patients with non-small-cell lung cancer (NCSLC) have durable benefit from immune-checkpoint inhibitors. Although tissue-based biomarkers (eg, PD-L1) are limited by suboptimal performance, tissue availability, and tumour heterogeneity, radiographic images might holistically capture the underlying cancer biology. We aimed to investigate the application of deep learning on chest CT scans to derive an imaging signature of response to immune checkpoint inhibitors and evaluate its added value in the clinical context. Methods: In this retrospective modelling study, 976 patients with metastatic, EGFR/ALK negative NSCLC treated with immune checkpoint inhibitors at MD Anderson and Stanford were enrolled from Jan 1, 2014, to Feb 29, 2020. We built and tested an ensemble deep learning model on pretreatment CTs (Deep-CT) to predict overall survival and progression-free survival after treatment with immune checkpoint inhibitors. We also evaluated the added predictive value of the Deep-CT model in the context of existing clinicopathological and radiological metrics. Findings: Our Deep-CT model demonstrated robust stratification of patient survival of the MD Anderson testing set, which was validated in the external Stanford set. The performance of the Deep-CT model remained significant on subgroup analyses stratified by PD-L1, histology, age, sex, and race. In univariate analysis, Deep-CT outperformed the conventional risk factors, including histology, smoking status, and PD-L1 expression, and remained an independent predictor after multivariate adjustment. Integrating the Deep-CT model with conventional risk factors demonstrated significantly improved prediction performance, with overall survival C-index increases from 0·70 (clinical model) to 0·75 (composite model) during testing. On the other hand, the deep learning risk scores correlated with some radiomics features, but radiomics alone could not reach the performance level of deep learning, indicating that the deep learning model effectively captured additional imaging patterns beyond known radiomics features. Interpretation: This proof-of-concept study shows that automated profiling of radiographic scans through deep learning can provide orthogonal information independent of existing clinicopathological biomarkers, bringing the goal of precision immunotherapy for patients with NSCLC closer. Funding: National Institutes of Health, Mark Foundation Damon Runyon Foundation Physician Scientist Award, MD Anderson Strategic Initiative Development Program, MD Anderson Lung Moon Shot Program, Andrea Mugnaini, and Edward L C Smith.
- Published
- 2023
- Full Text
- View/download PDF
5. Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model
- Author
-
Doyun Kim, Joowon Chung, Jongmun Choi, Marc D. Succi, John Conklin, Maria Gabriela Figueiro Longo, Jeanne B. Ackman, Brent P. Little, Milena Petranovic, Mannudeep K. Kalra, Michael H. Lev, and Synho Do
- Subjects
Science - Abstract
Here the authors develop a method for accurate auto-labelling of CXR images from large public datasets based on quantitative probability-of similarity to an explainable AI model. The labels can be used to fine-tune the original model through iterative re-training.
- Published
- 2022
- Full Text
- View/download PDF
6. Author Correction: Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach
- Author
-
Joowon Chung, Doyun Kim, Jongmun Choi, Sehyo Yune, Kyoung Doo Song, Seonkyoung Kim, Michelle Chua, Marc D. Succi, John Conklin, Maria G. Figueiro Longo, Jeanne B. Ackman, Milena Petranovic, Michael H. Lev, and Synho Do
- Subjects
Medicine ,Science - Published
- 2023
- Full Text
- View/download PDF
7. Determining malignancy in CT guided fine needle aspirate biopsy of subsolid lung nodules: Is core biopsy necessary?
- Author
-
Nantaka Kiranantawat, Shaunagh McDermott, Milena Petranovic, Mari Mino-Kenudson, Ashok Muniappan, Amita Sharma, Jo-Anne O. Shepard, and Subba R. Digumarthy
- Subjects
Medical physics. Medical radiology. Nuclear medicine ,R895-920 - Abstract
Purpose: To assess the success of determining malignancy in subsolid lung nodules by fine needle aspirate of CT-guided transthoracic needle biopsy. Material and method: This IRB approved retrospective study analyzed CTguided transthoracic needle biopsy of 86 consecutive subsolid nodules (size 25 + 14 mm; Age 71 + 10 years: M: F, 27:59), with ground glass opacity of = 50% in 64 (74%) and size < 2 cm in 38 (44%). Fine needle aspirate was performed in all and additional core biopsy in 21 (24%). The biopsy results were correlated with resected surgical pathology in 59 (69%) and by long term clinical and imaging follow-up in 27 (31%). The statistical analysis was performed by Fischer exact test to determine the success rate in < 2cm and =2cm nodules and those with 0.05), with a specificity 100% in both groups. Core biopsy altered the diagnosis only in 1/21 (4.8%). The nondiagnostic biopsy rate was 18 and 11% for lesions with =50% and 0.05). The incidence of pneumothorax was 21%, none requiring chest tube, and mild hemoptysis in 8%. Conclusion: CT-guided transthoracic needle biopsy of both small and large subsolid nodules is highly sensitive and very specific for making the diagnosis of malignancy with a low rate of complications. Additional core biopsy offered no significant advantage over fine needle aspirate biopsy alone. Keywords: CT guided lung biopsy, Subsolid nodule, Fine needle aspirate, Core biopsy, Lung cancer, Ground glass opacity
- Published
- 2019
- Full Text
- View/download PDF
8. Lung-RADS Category 3 and 4 Nodules on Lung Cancer Screening in Clinical Practice
- Author
-
Dexter P, Mendoza, Milena, Petranovic, Avik, Som, Markus Y, Wu, Esther Y, Park, Eric W, Zhang, John M, Archer, Shaunagh, McDermott, Melin, Khandekar, Michael, Lanuti, Justin F, Gainor, Inga T, Lennes, Jo-Anne O, Shepard, and Subba R, Digumarthy
- Subjects
Male ,Lung Neoplasms ,Humans ,Female ,Radiology, Nuclear Medicine and imaging ,General Medicine ,Middle Aged ,Tomography, X-Ray Computed ,Lung ,Early Detection of Cancer ,Aged ,Retrospective Studies - Published
- 2022
- Full Text
- View/download PDF
9. United States lung cancer screening program websites: radiology representation, multimedia and multilingual content
- Author
-
Brent P, Little, Staci M, Gagne, Florian J, Fintelmann, Shaunagh, McDermott, Dexter P, Mendoza, Milena, Petranovic, Melissa C, Price, Justin T, Stowell, Anand K, Narayan, and Efren J, Flores
- Subjects
Search Engine ,Internet ,Lung Neoplasms ,Multimedia ,Humans ,Radiology, Nuclear Medicine and imaging ,Radiology ,Early Detection of Cancer ,United States - Abstract
To assess radiology representation, multimedia content, and multilingual content of United States lung cancer screening (LCS) program websites.We identified the websites of US LCS programs with the Google internet search engine using the search terms lung cancer screening, low-dose CT screening, and lung screening. We used a standardized checklist to assess and collect specific content, including information regarding LCS staff composition and references to radiologists and radiology. We also tabulated types and frequencies of included multimedia and multilingual content and patient narratives.We analyzed 257 unique websites. Of these, only 48% (124 of 257) referred to radiologists or radiology in text, images, or videos. Radiologists were featured in images or videos on only 14% (36 of 257) of websites. Radiologists were most frequently acknowledged for their roles in reading or interpreting imaging studies (35% [90 of 574]). Regarding multimedia content, only 36% (92 of 257) of websites had 1 image, 27% (70 of 257) included 2 or more images, and 26% (68 of 257) of websites included one or more videos. Only 3% (7 of 257) of websites included information in a language other than English. Patient narratives were found on only 15% (39 of 257) of websites.The field of Radiology is mentioned in text, images, or videos by less than half of LCS program websites. Most websites make only minimal use of multimedia content such as images, videos, and patient narratives. Few websites provide LCS information in languages other than English, potentially limiting accessibility to diverse populations.
- Published
- 2022
- Full Text
- View/download PDF
10. Thoracic Imaging Manifestations of Treated Lymphomas
- Author
-
Cory R, Gooch, Manoj K, Jain, Milena, Petranovic, David Z, Chow, Victorine V, Muse, Staci M, Gagne, Carol C, Wu, and Justin T, Stowell
- Subjects
Diagnostic Imaging ,Pulmonary and Respiratory Medicine ,Lymphoma ,Disease Progression ,Humans ,Radiology, Nuclear Medicine and imaging ,Thorax ,Neoplasm Staging - Abstract
Lymphoma is the most common hematologic malignancy comprising a diverse group of neoplasms arising from multiple blood cell lineages. Any structure of the thorax may be involved at any stage of disease. Imaging has a central role in the initial staging, response assessment, and surveillance of lymphoma, and updated standardized assessment criteria are available to assist with imaging interpretation and reporting. Radiologists should be aware of the modern approaches to lymphoma treatment, the role of imaging in posttherapeutic surveillance, and manifestations of therapy-related complications.
- Published
- 2022
- Full Text
- View/download PDF
11. U.S. Newspaper Coverage of Lung Cancer Screening from 2010 to 2022
- Author
-
Zachary D. Zippi, Isabel O. Cortopassi, Elizabeth M. Johnson, Shaunagh McDermott, Patricia J. Mergo, Milena Petranovic, Melissa C. Price, Justin T. Stowell, and Brent P. Little
- Subjects
Radiology, Nuclear Medicine and imaging ,General Medicine - Published
- 2023
- Full Text
- View/download PDF
12. Operational Challenges of a Low-Dose CT Lung Cancer Screening Program During the Coronavirus Disease 2019 Pandemic
- Author
-
Tristan Yeung, Milena Petranovic, Min Lang, Jo-Anne O. Shepard, Amita Sharma, Brent P. Little, Anand M. Prabhakar, Avik Som, Marc D. Succi, Efren J. Flores, Theresa C. McLoud, and Sanjay Saini
- Subjects
Pulmonary and Respiratory Medicine ,2019-20 coronavirus outbreak ,Lung Neoplasms ,Coronavirus disease 2019 (COVID-19) ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Change Management ,Critical Care and Intensive Care Medicine ,LDCT, low dose CT ,Pandemic ,Research Letter ,Humans ,Low dose ct ,Medicine ,Program Development ,Early Detection of Cancer ,COVID-19, coronavirus disease 2019 ,Infection Control ,SARS-CoV-2 ,business.industry ,COVID-19 ,EMR, electronic medical record ,Virology ,Organizational Innovation ,LCS, lung cancer screening ,CT, computed tomography ,Massachusetts ,LR, Lung-RADS ,Tomography, X-Ray Computed ,Cardiology and Cardiovascular Medicine ,business ,Lung cancer screening ,Program Evaluation - Published
- 2021
- Full Text
- View/download PDF
13. Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: Efficient development of auditable risk prediction models via a fine-tuning approach
- Author
-
Joowon, Chung, Doyun, Kim, Jongmun, Choi, Sehyo, Yune, Kyungdoo, Song, Seonkyoung, Kim, Michelle, Chua, Marc D, Succi, John, Conklin, Maria G Figueiro, Longo, Jeanne B, Ackman, Milena, Petranovic, Michael H, Lev, and Synho, Do
- Subjects
Oxygen ,Multidisciplinary ,Patients ,Artificial Intelligence ,Humans ,COVID-19 ,Pandemics - Abstract
Clinical risk prediction requires comprehensive integration of clinical information and concurrent radiological findings. We present an upgraded chest radiograph (CXR) explainable artificial intelligence (xAI) model, which was trained on 241,723 well-annotated CXRs obtained prior to the onset of the COVID-19 pandemic. Mean area under the receiver operating characteristic curve (AUROC) for detection of 20 radiographic features was 0.955 (95% CI 0.938-0.955) on PA view and 0.909 (95% CI 0.890-0.925) on AP view. Coexistent and correlated radiographic findings are displayed in an interpretation table, and calibrated classifier confidence is displayed on an AI scoreboard. Retrieval of similar feature patches and comparable CXRs from a Model-Derived Atlas provides justification for model predictions. To demonstrate the feasibility of a fine-tuning approach for efficient and scalable development of xAI risk prediction models, we applied our CXR xAI model, in combination with clinical information, to predict oxygen requirement in COVID-19 patients. Prediction accuracy for high flow oxygen (HFO) and mechanical ventilation (MV) was 0.953 and 0.934 at 24 hours and 0.932 and 0.836 at 72 hours from the time of emergency department (ED) admission, respectively. Our CXR xAI model is auditable and captures key pathophysiological manifestations of cardiorespiratory diseases and cardiothoracic comorbidities. This model can be efficiently and broadly applied via a fine-tuning approach to provide fully automated risk and outcome predictions in various clinical scenarios in real-world practice.
- Published
- 2022
- Full Text
- View/download PDF
14. Deep Learning CT Signature Predicts Benefit from Immunotherapy in Metastatic NSCLC Independent of Standard Clinicopathological Markers
- Author
-
Maliazurina Binti Saad, Lingzhi Hong, Muhammad Aminu, Natalie I. Vokes, Pingjun Chen, Morteza Salehjahromi, Kang Qin, Sheeba J. Sujit, Carol C. Wu, Brett W. Carter, Steven H. Lin, Percy P. Lee, Saumil Gandhi, Joe Y. Chang, Ruijiang Li, Michael F. Gensheimer, Heather A. Wakelee, Joel W. Neal, Hyun-Sung Lee, Chao Cheng, Vamsi Velcheti, Milena Petranovic, Yanyan Lou, Waree Rinsurongkawong, Xiuning Le, Vadeerat Rinsurongkawong, Amy Spelman, Yasir Y. Elamin, Marcelo V. Negrao, Ferdinandos Skoulidis, Carl M. Gay, Tina Cascone, Mara B. Antonoff, Boris Sepesi, Jeff Lewis, John D. Hazle, Caroline Chung, David Jaffray, Don Gibbons, Ara Vaporciyan, J.Jack Lee, John Heymach, Jianjun Zhang, and Jia Wu
- Subjects
History ,Polymers and Plastics ,Business and International Management ,Industrial and Manufacturing Engineering - Published
- 2022
- Full Text
- View/download PDF
15. Liquid Biopsy, Diagnostic Imaging, and Future Synergies
- Author
-
Milena Petranovic, Sana Raoof, Subba R. Digumarthy, Amita Sharma, Jo-Anne O. Shepard, Justin F. Gainor, and Pari V. Pandharipande
- Subjects
Diagnostic Imaging ,Lung Neoplasms ,Carcinoma, Non-Small-Cell Lung ,Biomarkers, Tumor ,Liquid Biopsy ,Humans ,Radiology, Nuclear Medicine and imaging - Abstract
Imaging plays an integral role in the initial diagnosis and longitudinal care of patients with cancer. Liquid biopsies, which most commonly involve genetic analysis of circulating free DNA, have emerged as important complementary tools in cancer care with the potential to interface with imaging at each step of the cancer care continuum. Here, the authors use non-small-cell lung cancer as a paradigm to elucidate factors driving the need for liquid biopsy in the spectrum of lung cancer care, demonstrate ways in which liquid biopsy has already changed standard clinical practice, and discuss anticipated synergies of liquid biopsy and imaging in screening and early detection and in monitoring of disease.
- Published
- 2021
16. Feasibility and accuracy of CT-guided percutaneous needle biopsy of cavitary pulmonary lesions
- Author
-
Nantaka Kiranantawat, Milena Petranovic, Shaunagh McDermott, Subba R. Digumarthy, Jo-Anne O. Shepard, Amita Sharma, and Matthew D. Gilman
- Subjects
Image-Guided Biopsy ,Male ,Hemoptysis ,medicine.medical_specialty ,Lung Neoplasms ,Percutaneous ,medicine.medical_treatment ,Malignancy ,Sensitivity and Specificity ,030218 nuclear medicine & medical imaging ,Lesion ,03 medical and health sciences ,0302 clinical medicine ,Chest Imaging ,Biopsy Site ,Risk Factors ,Biopsy ,Prevalence ,Humans ,Medicine ,Radiology, Nuclear Medicine and imaging ,Neoplasm Metastasis ,Thoracic Wall ,Lung ,Aged ,Retrospective Studies ,Hemothorax ,medicine.diagnostic_test ,business.industry ,Biopsy, Needle ,Pneumothorax ,Middle Aged ,medicine.disease ,Chest tube ,medicine.anatomical_structure ,Chest Tubes ,Feasibility Studies ,Multiple Pulmonary Nodules ,Female ,Radiology ,medicine.symptom ,Tomography, X-Ray Computed ,Cardiology and Cardiovascular Medicine ,business - Abstract
Purpose We aimed to evaluate the feasibility, accuracy, and complications of computed tomography (CT)-guided percutaneous transthoracic needle biopsy (PTNB) of cavitary lesions. Methods Consecutive PTNB procedures in an academic institution over a 4-year period were reviewed, 53 of which were performed on patients with cavitary lesions. The demographic data of patients, lesion characteristics, biopsy technique and complications, initial pathologic results, and final diagnosis were reviewed. A final diagnosis was established through surgical correlation, microbiology or clinico-radiologic follow-up for at least 18 months after biopsy. Results The overall accuracy of PTNB was 81%. In 33 patients (62%) the cavitary lesion was found to be malignant (23 lung cancers and 10 metastases). The sensitivity and specificity for malignancy was 91% and 100%, respectively. In 20 patients (38%) a benign etiology was established (16 infections and 4 noninfectious etiologies), with PTNB demonstrating a sensitivity of 81% and specificity of 100% for infection. Wall thickness at the biopsy site, lesion in lower lobe, and malignancy were significant independent risk factors for diagnostic success. Minor complications occurred in 28% of cases: 13 pneumothoraces (5 requiring chest tube), 1 small hemothorax, and 1 mild hemoptysis. A nonsignificant higher chest tube insertion rate was seen in cavities with a thinner wall. Conclusion PTNB of cavitary lesions provides high accuracy, sensitivity, and specificity for both malignancy and infection and has an acceptable complication rate. Wall thickness at the biopsy site, lesion in lower lobe, and malignancy were significant independent risk factors for diagnostic success. Samples for microbiology should be obtained in all patients, especially in the absence of on-site cytology, due to the high prevalence of infection in cavitary lesions.
- Published
- 2019
- Full Text
- View/download PDF
17. Case 23-2019: A 52-Year-Old Man with Fever, Cough, and Hypoxemia
- Author
-
Nino Mihatov, Milena Petranovic, C. Corey Hardin, Sheila L. Klassen, Rajeev Malhotra, and Derek H. Oakley
- Subjects
Lung Diseases ,Male ,Pediatrics ,medicine.medical_specialty ,Fever ,Myocardial Infarction ,Lung pathology ,Hypoxemia ,Diagnosis, Differential ,Electrocardiography ,Humans ,Medicine ,Hypoxia ,Lung ,Mitral Valve Prolapse ,business.industry ,Mitral Valve Insufficiency ,Heart ,General Medicine ,Middle Aged ,respiratory tract diseases ,Tachycardia, Sinus ,Cough ,Echocardiography ,Fever cough ,Mitral Valve ,Radiography, Thoracic ,medicine.symptom ,business ,circulatory and respiratory physiology - Abstract
A 52-Year-Old Man with Fever, Cough, and Hypoxemia A 52-year-old man presented to the hospital for evaluation and treatment of hypoxemia. Seven days before presentation, nonproductive cough and a t...
- Published
- 2019
- Full Text
- View/download PDF
18. A Simplified Point-of-Care Lung Ultrasound Protocol to Detect Coronavirus Disease 2019 in Inpatients: A Prospective Observational Study
- Author
-
Hamid Shokoohi, Brent P. Little, Ahad A. Al Saud, Lily Rotman Devaraj, Thomas Heyne, Lucas Marinacci, Efren J. Flores, Kay Negishi, Dexter P. Mendoza, Daniel S. Choi, Steven P. Toal, Benjamin P. Geisler, Milena Petranovic, Patrick Smithedajkul, and Andrew S. Liteplo
- Subjects
medicine.diagnostic_test ,Receiver operating characteristic ,business.industry ,Nat ,Ultrasound ,medicine ,Area under the curve ,Nucleic acid test ,Cutoff ,Observational study ,business ,Nuclear medicine ,Point of care - Abstract
ObjectivesTo assess the diagnostic performance of lung point-of-care ultrasound (POCUS) compared to either a positive nucleic acid test (NAT) or a COVID-19-typical pattern on computed tomography (CT) and to evaluate opportunities to simplify a POCUS algorithm.MethodsHospital-admitted adult inpatients with (1) either confirmed or suspected COVID-19 and (2) a completed or ordered CT within the preceding 24 hours were recruited. Twelve lung zones were scanned with a handheld POCUS machine. POCUS, CT, and X-ray (CXR) images were reviewed independently by blinded experts. A simplified POCUS algorithm was developed via machine learning.ResultsOf 79 enrolled subjects, 26.6% had a positive NAT and 31.6% had a CT typical for COVID-19. The receiver operator curve (ROC) for a 12-zone POCUS protocol had an area under the curve (AUC) of 0.787 for positive NAT and 0.820 for typical CT. A simplified four-zone protocol had an AUC of 0.862 for typical CT and 0.862 for positive NAT. CT had an AUC of 0.815 for positive NAT; CXR had AUCs of 0.793 for positive NAT and 0.733 for typical CT. Performance of the four-zone protocol was superior to CXR for positive NAT (p=0.0471). Using a two-point cutoff system, the four-zone POCUS protocol had a sensitivity of 0.920 and 0.904 compared to CT and NAT, respectively, at the lower cutoff; it had a specificity of 0.926 and 0.948 at the higher cutoff, respectively.ConclusionPOCUS outperformed CXR to predict positive NAT. POCUS could potentially replace other chest imaging for persons under investigation for COVID-19.
- Published
- 2021
- Full Text
- View/download PDF
19. Radiology Structured Reporting Handbook
- Author
-
Rodrigo Salgado, Victoria Chernyak, Seth Kligerman, Cornelia Schaefer-Prokop, Susan Tsai, Judy Yee, Elizabeth V. Craig, Priyanka Jha, Charlotte Y. Chung, Doenja M.J. Lambregts, Katherine Kaproth-Joslin, Benjamin D. Spilseth, Anuradha S. Shenoy-Bhangle, Brent D. Weinberg, Robert Fisher, Brett W. Carter, Hernan R. Bello, Jessica B. Robbins, Milena Petranovic, Jean-Nicolas Dacher, Xin (Cynthia) Wu, Koenraad J. Mortele, Temel Tirkes, Tarik K. Alkasab, Nicole E. Curci, Kathryn McGillen, Edward J. Tanner, Muneeb Ahmed, Carol Wu, Atul B. Shinagare, Marta E. Heilbrun, Hakan Sahin, Maya Galperin-Aizenberg, Nicole Hindman, Anne Catherine Kim, Regina G.H. Beets Tan, Jeanne M. Horowitz, Benjamin Wildman-Tobriner, Liina Poder, Bernardo C. Bizzo, Daniela M. Tridente, Thijs Vande Vyvere, Michael J. Hoch, Mark D. Mamlouk, Krupa K. Patel-Lippmann, S. Paran Yap, Francesca Coppola, Jenny K. Hoang, Alejandro Garces-Descovich, Mary Frances Croake, Marta Wojewodzka, Shlomit Goldberg-Stein, Parag P. Tolat, Olga R. Brook, Marco Francone, Thomas W. Loehfelm, Ashley Hawk Aiken, David A. Lynch, Stephanie Nougaret, Julien Dinkel, Jonathan H. Chung, Rachael R. Kirkbride, Khoschy Schawkat, Eric M. Hu, Wieland H. Sommer, Jeff Ames, Ricardo P. J. Budde, Ghaneh Fananapazir, Diana Litmanovich, Lukas Abraszek, Elizabeth A. Sadowski, Thomas J.T. Anderson, Julian Dobranowski, Renata Rocha de Almeida Bizzo, Paul M. Parizel, Jeffrey L. Weinstein, Donald Kim, and Matthew S. Davenport
- Subjects
medicine.medical_specialty ,business.industry ,Structured reporting ,medicine ,Medical physics ,business - Published
- 2021
- Full Text
- View/download PDF
20. Factors affecting patient adherence to lung cancer screening: A multisite analysis
- Author
-
Florian J. Fintelmann, Brent P. Little, Jo-Anne O. Shepard, Efren J. Flores, Gary X. Wang, Justin T Stowell, Anand K. Narayan, Milena Petranovic, and Amita Sharma
- Subjects
Oncology ,Male ,medicine.medical_specialty ,Lung Neoplasms ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Humans ,Mass Screening ,Lung cancer ,Early Detection of Cancer ,Aged ,Aged, 80 and over ,business.industry ,Health Policy ,Public Health, Environmental and Occupational Health ,Middle Aged ,medicine.disease ,030220 oncology & carcinogenesis ,Patient Compliance ,Female ,business ,Tomography, X-Ray Computed ,Lung cancer screening - Abstract
Objective To identify factors associated with delayed adherence to follow-up in lung cancer screening. Methods Utilizing a data warehouse and lung cancer screening registry, variables were collected from a referred sample of 3110 unique participants with follow-up CT during the study period (1 January 2016 to 17 October 2018). Adherence was defined as undergoing chest CT within 90 days and 30 days of the recommended time for follow-up and was determined using proportions and multiple variable logistic regression models across the American College of Radiology Lung Imaging Reporting and Data System (Lung-RADS®) categories. Results Of 1954 lung cancer screening participants (51.9% (1014/1954) males, 48.1% (940/1954) female; mean age 65.7 (range 45–87), smoking history median 40 pack-years, 60.2% and 44.5% did not follow-up within 30 and 90 days, respectively. Participants receiving Lung-RADS® category 1 or 2 presented later than those with Lung-RADS® category 3 at 90 days (coefficient −27.24, 95% CI −51.31, −3.16, p = 0.027). Participants with Lung-RADS® category 1 presented later than those with Lung-RADS® category 2 at both 90- and 30-days past due (OR 0.76 95% CI [0.59–0.97], p = 0.029 and OR 0.63 95% CI [0.48–0.83], p = 0.001, respectively). Conclusions Adherence to follow-up was higher among participants receiving more suspicious Lung-RADS® results at index screening CT and among those who had undergone more non-lung cancer screening imaging examinations prior to index lung cancer screening CT. These observations may inform strategies aimed at prospectively identifying participants at risk for delayed or nonadherence to prevent potential morbidity and mortality from incident lung cancers.
- Published
- 2020
21. Determining malignancy in CT guided fine needle aspirate biopsy of subsolid lung nodules: Is core biopsy necessary?
- Author
-
Amita Sharma, Shaunagh McDermott, Nantaka Kiranantawat, Subba R. Digumarthy, Milena Petranovic, Mari Mino-Kenudson, Ashok Muniappan, and Jo-Anne O. Shepard
- Subjects
lcsh:Medical physics. Medical radiology. Nuclear medicine ,medicine.medical_specialty ,medicine.medical_treatment ,lcsh:R895-920 ,Malignancy ,Subsolid nodule ,Article ,Ground-glass opacity ,030218 nuclear medicine & medical imaging ,Core biopsy ,03 medical and health sciences ,0302 clinical medicine ,Fine needle aspirate ,Biopsy ,medicine ,Radiology, Nuclear Medicine and imaging ,Lung cancer ,Lung ,medicine.diagnostic_test ,business.industry ,Retrospective cohort study ,medicine.disease ,Ground glass opacity ,Chest tube ,medicine.anatomical_structure ,Pneumothorax ,030220 oncology & carcinogenesis ,Radiology ,CT guided lung biopsy ,medicine.symptom ,business - Abstract
Highlights • CT-guided fine needle aspirate is accurate in the diagnoses of subsolid nodules. • CT-guided fine needle aspirate of subsolid nodules is safe. • A core needle biopsy is not always necessary., Purpose To assess the success of determining malignancy in subsolid lung nodules by fine needle aspirate of CT-guided transthoracic needle biopsy. Material and method This IRB approved retrospective study analyzed CTguided transthoracic needle biopsy of 86 consecutive subsolid nodules (size 25 + 14 mm; Age 71 + 10 years: M: F, 27:59), with ground glass opacity of = 50% in 64 (74%) and size < 2 cm in 38 (44%). Fine needle aspirate was performed in all and additional core biopsy in 21 (24%). The biopsy results were correlated with resected surgical pathology in 59 (69%) and by long term clinical and imaging follow-up in 27 (31%). The statistical analysis was performed by Fischer exact test to determine the success rate in < 2cm and =2cm nodules and those with 0.05), with a specificity 100% in both groups. Core biopsy altered the diagnosis only in 1/21 (4.8%). The nondiagnostic biopsy rate was 18 and 11% for lesions with =50% and 0.05). The incidence of pneumothorax was 21%, none requiring chest tube, and mild hemoptysis in 8%. Conclusion CT-guided transthoracic needle biopsy of both small and large subsolid nodules is highly sensitive and very specific for making the diagnosis of malignancy with a low rate of complications. Additional core biopsy offered no significant advantage over fine needle aspirate biopsy alone.
- Published
- 2019
22. Evaluation of the Informational Content and Readability of US Lung Cancer Screening Program Websites
- Author
-
Melissa C. Price, Florian J. Fintelmann, Dexter P. Mendoza, Shaunagh McDermott, Brent P. Little, Staci M. Gagne, Justin T Stowell, Milena Petranovic, and Efren J. Flores
- Subjects
Adult ,Male ,medicine.medical_specialty ,Lung Neoplasms ,Databases, Factual ,Cross-sectional study ,medicine.medical_treatment ,Word count ,MEDLINE ,Imaging ,Patient Education as Topic ,Cancer screening ,medicine ,Humans ,Early Detection of Cancer ,Original Investigation ,Aged ,Aged, 80 and over ,Internet ,business.industry ,Research ,General Medicine ,respiratory system ,Middle Aged ,Checklist ,Readability ,United States ,Data Accuracy ,Online Only ,ComputingMethodologies_PATTERNRECOGNITION ,Cross-Sectional Studies ,Family medicine ,Smoking cessation ,Female ,business ,Lung cancer screening - Abstract
This cross-sectional study evaluates the informational content and readability of US lung cancer screening program websites., Key Points Question Is the informational content of lung cancer screening program websites in the United States accurate, complete, and presented at an appropriate reading level for most patients? Findings In this cross-sectional study of 257 lung cancer screening program websites, there was large variability regarding information on enrollment criteria, benefits and risks, logistics, and costs of lung cancer screening. The reading level of the websites was consistently above that of the average adult in the United States and the level recommended by the American Medical Association and the National Institutes of Health. Meaning Efforts to improve the content and readability of program websites may be warranted to improve patient understanding of lung cancer screening., Importance The internet is an important source of medical information for many patients and may have a key role in the education of patients about lung cancer screening (LCS). Although most LCS programs in the United States have informational websites, the accuracy, completeness, and readability of these websites have not previously been studied. Objective To evaluate the informational content and readability of US LCS program websites. Design, Setting, and Participants This cross-sectional study assessed US LCS program websites identified on September 15, 2018. A standardized checklist was used to assess key informational content of each website, and text was analyzed for reading level, word count, and reading time. Links to US websites of national advocacy organizations with LCS program content were tabulated. All functional LCS program websites in Google internet search engine results using the search terms lung cancer screening, low-dose CT screening, and lung screening were included in the analysis. Main Outcomes and Measures Radiologists used a standardized checklist to evaluate content, and readability was assessed with validated scales. Website word count, reading time, and number of links to outside LCS informational websites were assessed. Results A total of 257 LCS websites were included in the analysis. The word count ranged from 73 to 4410 (median, 571; interquartile range, 328-909). The reading time ranged from 0.3 to 19.6 minutes (median, 2.5; interquartile range, 1.5-4.0). The median reading level of all websites was grade 10 (interquartile range, 9-11). Only 26% (n = 66) of websites had at least 1 web link to a national website with additional information on LCS. There was wide variability regarding reported eligibility age criteria, with ages 55 to 77 years most frequently cited (42% [n = 108]). Only 56% (n = 143) of websites mentioned smoking cessation. The subject of patient cost was mentioned on 75% (n = 192) of websites. Although major LCS benefits, such as detection of lung cancer, were discussed by most (93% [n = 239]) websites, less than half of the websites (45% [n = 115]) made any mention of possible risks associated with screening. Conclusions and Relevance There appears to be marked variability in the informational content of US LCS program websites, and the reading level of most websites is above that recommended by the American Medical Association and the National Institutes of Health. Efforts to improve website content and readability may be warranted.
- Published
- 2020
23. Multidisciplinary selection of pulmonary nodules for surgical resection: Diagnostic results and long-term outcomes
- Author
-
Maria Lucia Madariaga, Inga T. Lennes, Till Best, Jo-Anne O. Shepard, Florian J. Fintelmann, Douglas J. Mathisen, Henning A. Gaissert, Kerry Davis, Saif Hawari, Henning Willers, Michael Lanuti, Ashok Muniappan, Harald C. Ott, Cameron D. Wright, Christopher R. Morse, Shaunagh McDermott, Melissa Price, Milena Petranovic, and Subba Digumarthy
- Subjects
Male ,Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,Lung Neoplasms ,Referral ,030204 cardiovascular system & hematology ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,Humans ,Medicine ,Pneumonectomy ,Lung cancer ,Referral and Consultation ,Early Detection of Cancer ,Aged ,Incidental Findings ,Lung ,medicine.diagnostic_test ,business.industry ,Patient Selection ,Solitary Pulmonary Nodule ,Middle Aged ,medicine.disease ,Survival Rate ,medicine.anatomical_structure ,030228 respiratory system ,Positron emission tomography ,Cohort ,Female ,Surgery ,Radiology ,Tomography, X-Ray Computed ,Cardiology and Cardiovascular Medicine ,business ,Risk assessment ,Progressive disease ,Lung cancer screening - Abstract
Objective Pulmonary nodules found incidentally or by lung cancer screening differ in prevalence, risk profile, and diagnostic intervention. The results of surgical intervention for incidental versus screening lung nodules during multidisciplinary Pulmonary Nodule and Lung Cancer Screening Clinic (PNLCSC) follow-up have not been reported. Methods All patients evaluated at a PNLCSC from 2012 to 2018 following referral by primary care physicians, specialist physicians, or self-referral after computed tomography (CT) identified nodules on routine diagnostic CT (incidental group) or lung cancer screening CT (screening group) were included. Follow-up interval, invasive intervention, histology, postoperative events, survival, and recurrence were compared. Results Of 747 patients evaluated in the PNLCSC, 129 (17.2%) underwent surgical intervention. The surgical cohort consisted of 104 (80.6%) incidental and 25 (19.3%) screening patients followed over a mean of 122 and 70 days, respectively. More benign lesions were excised in the incidental group (20.2%, 21/104)—representing 3.3% (21/632) of all incidental nodules evaluated—than in the screening group (4%, 1/25) (P = .038). Operative mortality was zero. Among 99 patients with primary lung cancer, 87% (screening) and 86.8% (incidental) were pathologic stage Ia. Complete follow-up was available in 725 of 747 (97%), and no patient developed progressive disease. Disease-free survival at 5 years was 74.9% (incidental) and 89.3% (screening) (P = .48). Conclusions A unique multidisciplinary PNLCSC for incidental and lung cancer screening–detected nodules with individualized risk assessment reliably identifies primary and metastatic tumors while exposing few patients to diagnostic excision for benign disease. Longer-term outcomes, strategies to limit radiation exposure, and cost control need further study.
- Published
- 2020
- Full Text
- View/download PDF
24. Diagnostic Yield of CT-Guided Percutaneous Transthoracic Needle Biopsy for Diagnosis of Anterior Mediastinal Masses
- Author
-
Matthew D. Gilman, Subba R. Digumarthy, Victorine V. Muse, Robert P. Hasserjian, Amita Sharma, Ashok Muniappan, Carol C. Wu, Milena Petranovic, and Jo-Anne O. Shepard
- Subjects
Adult ,Image-Guided Biopsy ,Male ,medicine.medical_specialty ,Lung Neoplasms ,Percutaneous ,Adolescent ,Lymphoma ,Mediastinal Neoplasms ,Surgical pathology ,Young Adult ,Predictive Value of Tests ,Cytology ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Aged ,Retrospective Studies ,Aged, 80 and over ,business.industry ,Retrospective cohort study ,Thymus Neoplasms ,General Medicine ,Middle Aged ,Neoplasms, Germ Cell and Embryonal ,Mediastinal Neoplasm ,Exact test ,Predictive value of tests ,Female ,Radiology ,Tomography, X-Ray Computed ,business - Abstract
The purpose of this study was to evaluate the diagnostic yield and accuracy of CT-guided percutaneous biopsy of anterior mediastinal masses and assess prebiopsy characteristics that may help to select patients with the highest diagnostic yield.Retrospective review of all CT-guided percutaneous biopsies of the anterior mediastinum conducted at our institution from January 2003 through December 2012 was performed to collect data regarding patient demographics, imaging characteristics of biopsied masses, presence of complications, and subsequent surgical intervention or medical treatment (or both). Cytology, core biopsy pathology, and surgical pathology results were recorded. A per-patient analysis was performed using two-tailed t test, Fisher's exact test, and Pearson chi-square test.The study cohort included 52 patients (32 men, 20 women; mean age, 49 years) with mean diameter of mediastinal mass of 6.9 cm. Diagnostic yield of CT-guided percutaneous biopsy was 77% (40/52), highest for thymic neoplasms (100% [11/11]). Non-diagnostic results were seen in 12 of 52 patients (23%), primarily in patients with lymphoma (75% [9/12]). Fine-needle aspiration yielded the correct diagnosis in 31 of 52 patients (60%), and core biopsy had a diagnostic rate of 77% (36/47). None of the core biopsies were discordant with surgical pathology. There was no statistically significant difference between the diagnostic and the nondiagnostic groups in patient age, lesion size, and presence of necrosis. The complication rate was 3.8% (2/52), all small self-resolving pneumothoraces.CT-guided percutaneous biopsy is a safe diagnostic procedure with high diagnostic yield (77%) for anterior mediastinal lesions, highest for thymic neoplasms (100%), and can potentially obviate more invasive procedures.
- Published
- 2015
- Full Text
- View/download PDF
25. A Novel Analysis Algorithm for Potential Quantitative Assessment of Myocardial Computed Tomography Perfusion
- Author
-
Milena Petranovic, Nabeel U. Ali, Thomas J. Brady, Ricardo C. Cury, Udo Hoffmann, Synho Do, Gary Liew, and Brian B. Ghoshhajra
- Subjects
medicine.medical_specialty ,Infarction ,Coronary Angiography ,Sensitivity and Specificity ,Pattern Recognition, Automated ,DICOM ,Hounsfield scale ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Cardiac imaging ,Reproducibility ,business.industry ,Coronary Stenosis ,Myocardial Perfusion Imaging ,Reproducibility of Results ,medicine.disease ,Intensity (physics) ,Radiographic Image Enhancement ,medicine.anatomical_structure ,Ventricle ,Radiographic Image Interpretation, Computer-Assisted ,Radiology ,Tomography, X-Ray Computed ,Nuclear medicine ,business ,Algorithm ,Perfusion ,Algorithms - Abstract
Rationale and Objectives Cardiac computed tomography (CT) has emerged as a robust modality for imaging coronary stenosis and has recently been used to evaluate myocardial abnormalities such as ischemic perfusion defects and infarction. We developed a new image analysis algorithm for the semiautomatic and quantitative assessment of myocardial perfusion by CT. Materials and Methods The algorithm semiautomatically segments two-dimensional short-axis reformatted DICOM images of the left ventricle into regions of interest (ROIs) in accordance with American Heart Association (AHA) standards and is capable of creating nine further ROI subsegments. This includes separate endocardial, mid-ventricle, and epicardial layers. Image intensity values (Hounsfield unit) and relative myocardial thickness are quantitatively reported for each ROI and segment. Results The algorithm allows comparison of the HU values at the same ROI locations between rest and stress. The reproducibility is very good; ICC 0.89 for rest images, 0.83 for stress images. The mean time for generating ROIs for the entire heart was 11 minutes versus 22 minutes for manual tracing. Conclusion The algorithm reports parameters relevant for evaluation of stress perfusion CT studies and will allow more accurate and reproducible analysis in cardiac CT research.
- Published
- 2013
- Full Text
- View/download PDF
26. Quantification of coronary stenosis by dual source computed tomography in patients: A comparative study with intravascular ultrasound and invasive angiography
- Author
-
Ammar Sarwar, Milena Petranovic, Ik-Kyung Jang, Stephan Achenbach, Ricardo C. Cury, Tobias Pflederer, Ricardo Loureiro, Mohamed Marwan, Christopher Raffel, Gudrun Feuchtner, Thomas B. Brady, Hiram G. Bezerra, and Jose A. Rocha-Filho
- Subjects
Male ,Coronary angiography ,medicine.medical_specialty ,education ,Coronary stenosis ,Coronary Angiography ,Sensitivity and Specificity ,Intravascular ultrasound ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,In patient ,Ultrasonography, Interventional ,medicine.diagnostic_test ,business.industry ,Coronary Stenosis ,Reproducibility of Results ,General Medicine ,Middle Aged ,medicine.disease ,Radiographic Image Enhancement ,Invasive coronary angiography ,Stenosis ,Echocardiography ,Dual source computed tomography ,Angiography ,cardiovascular system ,Radiographic Image Interpretation, Computer-Assisted ,Female ,Radiology ,Tomography, X-Ray Computed ,business ,Algorithms - Abstract
Objective To determine the accuracy of dual-source CT (DSCT) to quantify coronary stenosis compared to intravascular ultrasound (IVUS) and quantitative coronary angiography (QCA). Methods 21 patients (23 vessels) were examined with DSCT, IVUS and invasive coronary angiography. Coronary minimal luminal diameter (MLD) and area (MLA) were measured in cross-sectional multi-planar reformatted images perpendicular to the vessel long-axis. The vessel cross-sectional area stenosis (MLA/CSA ratio) was calculated. DSCT results were compared with IVUS and QCA. Results A good correlation between DSCT and IVUS was noted for diameter and area stenosis (r = 0.69 and r = 0.73), with an overestimation of MLD stenosis by DSCT (+9.1%) and an underestimation of MLA stenosis (−5.8%). For MLD and MLA, high correlation coefficients (r = 0.78 and r = 0.90, respectively) were found between DSCT and IVUS; and the bias was almost zero (−0.41 mm and +0.1 mm2, respectively). The correlation between DSCT and QCA was moderate (r = 0.60) for MLD stenosis with minor overestimation by DSCT (+4.0%) and moderate (r = 0.59) for MLD (bias, +0.01 mm). The cross-sectional area stenosis showed a moderate correlation (r = 0.59) between DSCT and IVUS (+0.00). Conclusions DSCT allows accurate quantification of coronary stenosis as compared to IVUS. An excellent correlation was found for the MLA between DSCT and IVUS.
- Published
- 2012
- Full Text
- View/download PDF
27. Assessment of nonstenotic coronary lesions by 64-slice multidetector computed tomography in comparison to intravascular ultrasound: Evaluation of nonculprit coronary lesions
- Author
-
Anand Soni, Milena Petranovic, Ammar Sarwar, Ricardo Loureiro, Stephan Achenbach, Eugene Pomerantsev, Chris Raffel, Ricardo C. Cury, Ik-Kyung Jang, Thomas J. Brady, and Hiram Bezzera
- Subjects
medicine.medical_specialty ,Lumen (anatomy) ,Coronary Angiography ,Sensitivity and Specificity ,Coronary artery disease ,Hounsfield scale ,Multidetector computed tomography ,Intravascular ultrasound ,medicine ,Humans ,Carotid Stenosis ,Radiology, Nuclear Medicine and imaging ,cardiovascular diseases ,Cardiac imaging ,medicine.diagnostic_test ,business.industry ,Reproducibility of Results ,medicine.disease ,Predictive value ,Coronary arteries ,medicine.anatomical_structure ,Echocardiography ,cardiovascular system ,Radiology ,Tomography, X-Ray Computed ,Cardiology and Cardiovascular Medicine ,business - Abstract
Background Multidetector computed tomography (MDCT) has recently emerged as a potential noninvasive alternative for high-resolution imaging of coronary arteries. Objective In this study, we evaluated 64-slice MDCT for detection, quantification, and characterization of atherosclerotic plaque burden in nonculprit lesions. Methods Data from 11 patients who underwent both MDCT and intravascular ultrasound (IVUS) for suspected coronary artery disease were collected, and a total of 17 coronary segments and 122 cross-sectional slices were analyzed by MDCT and IVUS. Coronary segments on MDCT were coregistered to IVUS, and each obtained slice was scored by 2 blinded observers for presence and type of plaque. Quantitative measurements included cross-sectional vessel area, lumen area, wall area, plaque volume, and plaque burden. Mean and standard deviation of Hounsfield units (HUs) were recorded for plaque when present. Results Overall sensitivity for plaque detection was 95.0%, and specificity, positive predictive value, negative predictive value were 88.7%, 89.1%, and 94.8%, respectively. Spearman's correlation coefficients were 0.85, 0.75, 0.70, 0.89, and 0.54 for cross-sectional vessel area, lumen area, wall area, plaque volume, and plaque burden, respectively. The interobserver variability for plaque burden and plaque volume measurements between readers on 64-MDCT was high at 32.7% and 30.4%, respectively. Combined noncalcified plaque had a mean MDCT density significantly different from that of calcified plaque. Soft and fibrous plaques were not able to be distinguished based on their HU values. Conclusion Sixty-four–slice MDCT had good correlation with IVUS but with high interobserver variability. Plaque characterization remains a challenge with present MDCT technology.
- Published
- 2009
- Full Text
- View/download PDF
28. Reply to 'Is It Time for a Nonionizing Radiation Technique for Biopsy of Anterior Mediastinal Masses?'
- Author
-
Milena, Petranovic, Matthew D, Gilman, and Jo-Anne O, Shepard
- Subjects
Radiation, Nonionizing ,Biopsy ,Biopsy, Needle ,Mediastinal Diseases ,Humans ,Radiology, Nuclear Medicine and imaging ,General Medicine ,Mediastinal Neoplasms - Published
- 2016
- Full Text
- View/download PDF
29. Adenosine-induced stress myocardial perfusion imaging using dual-source cardiac computed tomography
- Author
-
Gudrun Feuchtner, David R. Okada, Brian B. Ghoshhajra, Wilfred Mamuya, Leon Shturman, Hiram G. Bezerra, Ricardo C. Cury, Milena Petranovic, Henry Gewirtz, Thomas J. Brady, Jose A. Rocha-Filho, Anand Soni, Ian S. Rogers, Ammar Sarwar, Ron Blankstein, Udo Hoffmann, and Ricardo Loureiro
- Subjects
Male ,Adenosine ,Vasodilator Agents ,infarction ,Ischemia ,Infarction ,Perfusion scanning ,ischemia ,030204 cardiovascular system & hematology ,coronary disease ,Coronary Angiography ,Sensitivity and Specificity ,Severity of Illness Index ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,Myocardial perfusion imaging ,Coronary circulation ,0302 clinical medicine ,Coronary Circulation ,medicine ,Humans ,2. Zero hunger ,Tomography, Emission-Computed, Single-Photon ,medicine.diagnostic_test ,business.industry ,Coronary Stenosis ,imaging ,Reproducibility of Results ,computed tomography ,Middle Aged ,medicine.disease ,3. Good health ,medicine.anatomical_structure ,Injections, Intra-Arterial ,Circulatory system ,Exercise Test ,Female ,Tomography ,Cardiology and Cardiovascular Medicine ,Nuclear medicine ,business ,Tomography, X-Ray Computed ,medicine.drug - Abstract
ObjectivesThis study sought to determine the feasibility of performing a comprehensive cardiac computed tomographic (CT) examination incorporating stress and rest myocardial perfusion imaging together with coronary computed tomography angiography (CTA).BackgroundAlthough cardiac CT can identify coronary stenosis, very little data exist on the ability to detect stress-induced myocardial perfusion defects in humans.MethodsThirty-four patients who had a nuclear stress test and invasive angiography were included in the study. Dual-source computed tomography (DSCT) was performed as follows: 1) stress CT: contrast-enhanced scan during adenosine infusion; 2) rest CT: contrast-enhanced scan using prospective triggering; and 3) delayed scan: acquired 7 min after rest CT. Images for CTA, computed tomography perfusion (CTP), and single-photon emission computed tomography (SPECT) were each read by 2 independent blinded readers.ResultsThe DSCT protocol was successfully completed for 33 of 34 subjects (average age 61.4 ± 10.7 years; 82% male; body mass index 30.4 ± 5 kg/m2) with an average radiation dose of 12.7 mSv. On a per-vessel basis, CTP alone had a sensitivity of 79% and a specificity of 80% for the detection of stenosis ≥50%, whereas SPECT myocardial perfusion imaging had a sensitivity of 67% and a specificity of 83%. For the detection of vessels with ≥50% stenosis with a corresponding SPECT perfusion abnormality, CTP had a sensitivity of 93% and a specificity of 74%. The CTA during adenosine infusion had a per-vessel sensitivity of 96%, specificity of 73%, and negative predictive value of 98% for the detection of stenosis ≥70%.ConclusionsAdenosine stress CT can identify stress-induced myocardial perfusion defects with diagnostic accuracy comparable to SPECT, with similar radiation dose and with the advantage of providing information on coronary stenosis.
- Published
- 2009
30. Abstract 4178: Adenosine Induced Stress Myocardial Perfusion Imaging using Dual Source Cardiac CT:Initial Clinical Experience
- Author
-
Ron Blankstein, Anand V Soni, Ammar Sarwar, Ian Rogers, Leon Shturman, Milena Petranovic, Wilfred S Mamuya, Hiram Bezerra, Khurram Nasir, Ricardo Loureiro, David Okada, Udo Hoffmann, Thomas J Brady, and Ricardo C Cury
- Subjects
Physiology (medical) ,Cardiology and Cardiovascular Medicine - Abstract
Intro : The feasibility and accuracy of performing a comprehensive CT exam incorporating coronary, stress and rest perfusion, and delayed enhancement (DE) imaging is unknown. Our goal was to determine the feasibility of stress DSCT in identifying and quantifying the extent of ischemic and infarcted myocardium as compared to nuclear myocardial perfusion imaging (MPI) and invasive angiography (IA). Methods : 12 consecutive pts who had a prior MPI & subsequently underwent IA were included in study. DSCT (2×32×.6) performed as follows: Stress CT (SCT) - retrospectively gated scan with tube current modulation and pitch adaptation obtained 3 min post adenosine (.14 mg/kg/min) with Isovue @ 4 –5 ml/s; Rest CT (RCT) - non-helical prospective scan, Isovue @ 4 –5 ml/s; DE Scan - prospective acquisition 7 min post RCT, 100kV. CT perfusion, CT angiography (CTA), MPI, and IA were each read blinded to results of other tests. For DSCT & MPI, perfusion defect (pd) severity & reversibility were scored for ea. of the 17 segments. CT interpretation used 10mm multi planar reformation in short axis. Per vessel results of SCT were compared to the following references S-MPI IA≥50% IA≥70% CTA severe stenosis & S-MPI & IA≥50. Results : Protocol was successfully completed for all 12 pts (44±11 yrs; 10 males; BMI 31.5±7 kg/m 2 ) 11/12 pts had prior CAD; 5/12 had a prior MI and 3/12 had a prior PCI. Total contrast dose was 151cc; Average radiation dose of protocol 13mSv (8.8, 2.8, and 1.3mSv for SCT, RCT, and DE respectively). Average HR was 71 for RCT & 80 for SCT. Out of 204 segments (17×12pts), RCT pd were identified in 39 (5tr=transmural), SCT pd in 86 (40tr) and DE in 22 (3tr). S-MPI pd were present in 66 segments. Per vessel analysis: IA>70% lesions in 19/36, SCT identified pd in 25/36 and S-MPI in 21/36. Compared to MPI, SCT had a sensitivity (Sn) of 91% & specificity (Sp) of 43%. When IA>70%, used as the reference the Sn & Sp were: 79 & 41% for SCT, 63 & 47% for S-MPI, 89 & 65% for CTA, and 84 & 71% when abnormal on both CTA & SCT (p=NS). Conclusions : Adenosine stress CT can accurately identify both anatomical stenosis as well as reversible and nonreversible perfusion defects. The role of stress CT is unknown at this time and larger datasets will be necessary for accurate comparison with nuclear MPI.
- Published
- 2008
- Full Text
- View/download PDF
31. Infantile lead poisoning from an Asian tongue powder: a case reportsubsequent public health inquiry
- Author
-
Milena Petranovic, Chulathida Chomchai, Javed Hussain, Laura McCullough, and Alan D. Woolf
- Subjects
Male ,Pediatrics ,medicine.medical_specialty ,Fluorescence spectrometry ,Poison control ,Toxicology ,Lead poisoning ,Occupational safety and health ,Fluorescence ,Tongue ,Public inquiry ,Injury prevention ,Medicine ,Humans ,Edetic Acid ,Chelating Agents ,Medicine, East Asian Traditional ,business.industry ,Public health ,Infant ,Spectrometry, X-Ray Emission ,General Medicine ,medicine.disease ,Thailand ,Lead Poisoning ,medicine.anatomical_structure ,Lead ,Plant Preparations ,business ,Drug Contamination ,Succimer - Abstract
Lead poisoning from novel environmental sources continues to present a challenge to clinicians who treat infants and children.A 12 month old infant of Thai parents was found during well child care to have a venous blood lead concentration of 61 mcg/dL. He was hospitalized for parenteral chelation with CaNa2EDTA and subsequently managed as an outpatient with oral succimer, with a reduction in blood lead concentration to 23 mcg/dL. Chronic lead poisoning was attributed to the use of a Thai tongue powder by the parents for the first seven months of the infant's life. This ethnic remedy was applied to the tongue to absorb toxins, reduce white patches present after milk feedings, and preserve the infant's health.Lead contaminated the powder at 109,000 ppm as measured by x-ray fluorescence spectrometry. Two poison centers in Thailand were contacted and initiated a public health inquiry with the Thai FoodDrug Administration (Thai FDA) to remove contaminated products from the marketplace. Their investigation found six additional contaminated tongue powders (of 10 tested) in a Bangkok shop offering Chinese remedies, some with lead levels9000 ppm. These products, unregistered with the Thai FDA, were confiscated and the shop closed. Local media attention and case-finding activities of health officials identified one additional infant suffering from lead poisoning due to tongue powders.Asian tongue powders can be a source of lead poisoning. Medical toxicologists, poison centers, and public health agencies can work together internationally to accomplish effective post-marketing product surveillance.
- Published
- 2008
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.