Eduardo Jose Mortani Barbosa Jr., MD

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Assistant Professor of Radiology at the Hospital of the University of Pennsylvania
Department: Radiology

Contact information
University of Pennsylvania Perelman School of Medicine
Department of Radiology - Division of Thoracic Imaging
3400 Spruce Street
Ground Floor, Founders Building
Philadelphia, PA 19104
Office: (215) 662-3036
Fax: (215) 614-0033
Education:
B.Sc. (Molecular Sciences)
University of Sao Paulo, 1999.
M.D. (Medicine)
University of Sao Paulo, 2003.
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Description of Clinical Expertise

Cardiothoracic Imaging (CT, MR, radiography)
CT protocol design, maintenance and optimization
Structured Reporting
Thoracic Intervention, including CT guided biopsy

Description of Research Expertise

Quantitative and Functional Cardiothoracic Imaging, with emphasis in diffuse lung diseases (ILD, COPD, BOS)
Clinical Implementation of Artificial Intelligence Algorithms
Health Services Research focusing on Optimization of Cardiothoracic Structured Reporting and CT Protocols
Risk Predictive Models and Thoracic Oncology
Lung Cancer Screening and Overdiagnosis
Clinical Research in Pulmonary Hypertension, Pulmonary Embolism, Thoracic Trauma

Selected Publications

E. J. M. Barbosa Jr, K. Kelly: Can machine learning provide insight on what variables are predictive of whether patients with incidental pulmonary nodules on CT will receive appropriate follow up? Oral Scientific Presentation at the European Society of Thoracic Imaging 2020 Annual Scientific Meeting, Oxford, United Kingdom March 2022 Notes: Accepted for Oral Scientific Presentation, originally June 2020 * postponed to March 2022 due to covid-19.

E. J. M. Barbosa Jr, J. Levy: Low adherence to follow up recommendations for incidentally detected pulmonary nodules - logistic regression models may offer a data-driven framework for optimizing outcomes Scientific Presentation at the European Society of Thoracic Imaging 2020 Annual Scientific Meeting, Oxford, United Kingdom March 2022 Notes: Accepted for Oral Scientific Presentation, originally June 2020 * postponed to March 2022 due to covid-19.

Eduardo J. Mortani Barbosa Jr.; Leonid Roshkovan: Chapter 28: Modern Approach to Thoracic Imaging Diagnosis Fishman’s Pulmonary Diseases and Disorders, Sixth Edition. Editors: Michael A. Grippi, MD, Allan I. Pack, MD, Robert Kotloff, MD, Charles Dela Cruz, MD, Danielle Antin-Ozerkis, MD, and Camille Kotton, MD. McGraw Hill, February 2022 Notes: Chapter Finalized and Accepted for Publication. The book is in the final stages of copy editing and production is expected to be completed by the end of 2021.

Eduardo J. Mortani Barbosa Jr., Kate Kelly: Demographic, Socioeconomic Status (SES) And Nodule Risk Can Accurately Predict Adherence To Follow Up Of Incidental Pulmonary Nodules. RSNA - 107th Scientific Assembly and Annual Meeting of the Radiological Society of North America November 2021 Notes: Scientific Poster Accepted for Oral Presentation.

Hwan Lee, Eduardo J. Mortani Barbosa Jr.: Prediction Of Complication Risk In CT-guided Thoracic Biopsy: A Prescription For Improving Procedure Safety. RSNA - 107th Scientific Assembly and Annual Meeting of the Radiological Society of North America November 2021 Notes: Scientific Poster Accepted for Oral Presentation.

Lindsay WD Jr, Sachs N, Gee JC, Mortani Barbosa EJ Jr.: Transparent machine learning models to diagnose suspicious thoracic lesions leveraging CT guided biopsy data. Academic Radiology June 2021 Notes: 2021 Aug 6:S1076-6332(21)00307-X. doi: 10.1016/j.acra.2021.07.002. Epub ahead of print.

Joanna Jiang MD, Rochelle Yang, Eduardo Barbosa MD : Modeling Adherence to Lung Cancer Screening: Racial, Ethnic, and Socioeconomic Determinants. 47th Pendergrass Symposium – University of Pennsylvania June 2021 Notes: Accepted for Presentation - Scientific e-Poster.

Christina Murphy, BA, Hwan Lee, MD, Eduardo J. Mortani Barbosa, Jr., MD : Prediction of complication risk in CT-guided thoracic biopsy: a prescription for improving procedure safety. 47th Pendergrass Symposium – University of Pennsylvania June 2021 Notes: Accepted for Presentation - Scientific e-Poster.

H-M. Jung, R. Yang, W. Gefter, F. Ghesu, S. Liu, A. Mansoor, S. Grbic, S. Vogt, E. J. M. Barbosa Jr. : Quantitative chest CT and radiography substantially improve prognostic prediction of severe COVID-19 in multiparametric statistical models, when compared to clinical variables. 47th Pendergrass Symposium – University of Pennsylvania June 2021 Notes: Accepted for Presentation - Scientific e-Poster.

Maya Galperin-Aizenberg; Sharyn Katz; Varsha Shankla; Paul Wileyto; Warren Gefter; Lawrence Daugherty; Drew Torigian; Eduardo Barbosa Jr: Preliminary assessment of an optical flow method (OFM) for non-rigid registration and temporal subtraction (TS) of serial CT examinations to facilitate evaluation of interval change in metastatic lung nodules. Curr Probl Diagn Radiol 50(3): 344-350, May-Jun 2021 Notes: doi: 10.1067/j.cpradiol.2020.02.005.

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Last updated: 10/26/2021
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