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Integration of coronary artery calcium scoring from CT attenuation scans by machine learning improves prediction of adverse cardiovascular events in patients undergoing SPECT/CT myocardial perfusion imaging.
Feher, Attila; Pieszko, Konrad; Miller, Robert; Lemley, Mark; Shanbhag, Aakash; Huang, Cathleen; Miras, Leonidas; Liu, Yi-Hwa; Sinusas, Albert J; Miller, Edward J; Slomka, Piotr J.
Affiliation
  • Feher A; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA. attila.feher@yale.edu.
  • Pieszko K; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA. attila.feher@yale.edu.
  • Miller R; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Lemley M; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Shanbhag A; Department of Cardiac Sciences, University of Calgary, Calgary, AB, Canada.
  • Huang C; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Miras L; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Liu YH; Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Sinusas AJ; Division of Cardiology, Bridgeport Hospital, Yale University School of Medicine, Bridgeport, CT, USA.
  • Miller EJ; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA.
  • Slomka PJ; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA.
J Nucl Cardiol ; 30(2): 590-603, 2023 04.
Article in En | MEDLINE | ID: mdl-36195826

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Coronary Artery Disease / Myocardial Perfusion Imaging Type of study: Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: J Nucl Cardiol Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Coronary Artery Disease / Myocardial Perfusion Imaging Type of study: Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: J Nucl Cardiol Year: 2023 Document type: Article