Understanding the Added Value of High-Resolution CT Beyond Chest X-Ray in Determining Extent of Physiologic Impairment.

Autor: Benn BS; Department of Pulmonary, Critical Care, Allergy, and Sleep Medicine, University of California, San Francisco, San Francisco, CA; Department of Medicine, University of California, San Francisco, San Francisco, CA., Lippitt WL; Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO., Cortopassi I; Department of Radiology, Mayo Clinic College of Medicine and Science, Jacksonville, FL., Balasubramani GK; Department of Epidemiology and Clinical and Translations Sciences, School of Public Health, University of Pittsburgh, Pittsburgh, PA., Mortani Barbosa EJ Jr; Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA., Drake WP; Department of Medicine, University of Maryland School of Medicine, Baltimore, MD., Herzog E; Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT., Gibson K; Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA., Chen ES; Department of Medicine, Johns Hopkins University, Baltimore, MD., Koth LL; Department of Pulmonary, Critical Care, Allergy, and Sleep Medicine, University of California, San Francisco, San Francisco, CA; Department of Medicine, University of California, San Francisco, San Francisco, CA., Fuhrman C; Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA., Lynch DA; Department of Radiology, National Jewish Health, Denver, CO., Kaminski N; Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT., Wisniewski SR; Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA., Carlson NE; Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO., Maier LA; Department of Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO; Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO; Department of Medicine, National Jewish Health, Denver, CO. Electronic address: maierl@njhealth.org.

Publikováno v: Chest [Chest] 2024 Nov; Vol. 166 (5), pp. 1093-1107. Date of Electronic Publication: 2024 Jun 01.

Demographics and socioeconomic determinants of health predict continued participation in a CT lung cancer screening program.

Autor: Wang Z; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Kim Y; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Mortani Barbosa EJ Jr; Division of Cardiothoracic Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Ground Floor Founders Bldg, Philadelphia, PA 19104, USA. Electronic address: Eduardo.Barbosa@pennmedicine.upenn.edu.

Publikováno v: Current problems in diagnostic radiology [Curr Probl Diagn Radiol] 2024 Sep-Oct; Vol. 53 (5), pp. 552-559. Date of Electronic Publication: 2024 Apr 21.

Value of quantitative airspace disease measured on chest CT and chest radiography at initial diagnosis compared to clinical variables for prediction of severe COVID-19.

Autor: Jung HM; University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, United States., Yang R; University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, United States., Gefter WB; University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, United States., Ghesu FC; Siemens Healthineers, Digital Technology and Innovation, Princeton, New Jersey, United States., Mailhe B; Siemens Healthineers, Digital Technology and Innovation, Princeton, New Jersey, United States., Mansoor A; Siemens Healthineers, Digital Technology and Innovation, Princeton, New Jersey, United States., Grbic S; Siemens Healthineers, Digital Technology and Innovation, Princeton, New Jersey, United States., Comaniciu D; Siemens Healthineers, Digital Technology and Innovation, Princeton, New Jersey, United States., Vogt S; Siemens Healthineers, X-Ray Products, Malvern, Pennsylvania, United States., Mortani Barbosa EJ Jr; University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, United States.

Publikováno v: Journal of medical imaging (Bellingham, Wash.) [J Med Imaging (Bellingham)] 2022 May; Vol. 9 (3), pp. 034003. Date of Electronic Publication: 2022 Jun 17.

Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort.

Autor: Mortani Barbosa EJ Jr; Division of Cardiothoracic Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Ground Floor Founders Bldg, Philadelphia, PA, 19104, USA. Eduardo.Barbosa@pennmedicine.upenn.edu.; Penn Medicine, Philadelphia, PA, USA. Eduardo.Barbosa@pennmedicine.upenn.edu., Georgescu B; Siemens Healthineers, Princeton, NJ, USA., Chaganti S; Siemens Healthineers, Princeton, NJ, USA., Aleman GB; Clínica Universidad de Navarra, Navarra, Spain., Cabrero JB; Health Time, Jaén, Spain., Chabin G; Siemens Healthineers, Paris, France., Flohr T; Siemens Healthineers, Forchheim, Germany., Grenier P; Hôpital Foch, Suresnes, France., Grbic S; Siemens Healthineers, Princeton, NJ, USA., Gupta N; Houston Methodist, Houston, TX, USA., Mellot F; Hôpital Foch, Suresnes, France., Nicolaou S; Vancouver General Hospital, Vancouver, BC, Canada., Re T; Siemens Healthineers, Princeton, NJ, USA., Sanelli P; Donald and Barbara Zucker School of Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA., Sauter AW; University Hospital Basel, Clinic of Radiology & Nuclear medicine, Basel, Switzerland., Yoo Y; Siemens Healthineers, Princeton, NJ, USA., Ziebandt V; Siemens Healthineers, Forchheim, Germany., Comaniciu D; Siemens Healthineers, Princeton, NJ, USA.

Publikováno v: European radiology [Eur Radiol] 2021 Nov; Vol. 31 (11), pp. 8775-8785. Date of Electronic Publication: 2021 May 01.

CT Fluoroscopy Guided Thoracic Biopsies (CTTB) Are Highly Accurate and Safe: Outcomes and Predictive Modeling of Complications Utilizing Machine Learning.

Autor: Mortani Barbosa EJ; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: eduardo.barbosa@pennmedicine.upenn.edu., Sachs N; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Publikováno v: Academic radiology [Acad Radiol] 2021 May; Vol. 28 (5), pp. 608-618. Date of Electronic Publication: 2020 May 28.