Patient-Specific Myocardial Infarction Risk Thresholds From AI-Enabled Coronary Plaque Analysis.

Journal: Circulation. Cardiovascular imaging
PMID:

Abstract

BACKGROUND: Plaque quantification from coronary computed tomography angiography has emerged as a valuable predictor of cardiovascular risk. Deep learning can provide automated quantification of coronary plaque from computed tomography angiography. We determined per-patient age- and sex-specific distributions of deep learning-based plaque measurements and further evaluated their risk prediction for myocardial infarction in external samples.

Authors

  • Robert J H Miller
    Department of Imaging and Medicine and the Smidt Heart Institute (E.E., S.C., H.G., S.C., R.J.H.M., P.J.S., B.K.T., D.S.B.), Cedars-Sinai Medical Center, Los Angeles, CA.
  • Nipun Manral
    Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Andrew Lin
    Biomedical Imaging Research Institute, Cedars-Sinai Medical Center , Los Angeles, CA, USA.
  • Aakash Shanbhag
    Division of Artificial Intelligence, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Caroline Park
    Institute of Medical Science, University of Toronto, Toronto, Canada; Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Canada; Brain and Cognition Discovery Foundation, Toronto, Canada.
  • Jacek Kwiecinski
    Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California.
  • Aditya Killekar
    Division of Artificial Intelligence, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Priscilla McElhinney
    Department of Biomedical Sciences, Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Blvd, Los Angeles, CA 90048, USA.
  • Hidenari Matsumoto
    Division of Cardiology, Showa University School of Medicine, Tokyo, Japan.
  • Aryabod Razipour
    Biomedical Imaging Research Institute (P.A.M., F.C., X.C., M.G., A.R., D.D.), Cedars-Sinai Medical Center, Los Angeles, CA.
  • Kajetan Grodecki
    Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California.
  • Alan C Kwan
    Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA.
  • Donghee Han
    Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University Health System, Seoul, Republic of Korea.
  • Keiichiro Kuronuma
    Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Guadalupe Flores Tomasino
    Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Jolien Geers
    Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA (R.J.J.M., N.M., A.L., A.S., C.P., A.K., P.M., A.R., K.G., A.C.K., D.H., K.K., G.F.T., J.G., H.G., S.C., D.S.B., P.J.S., D.D.).
  • Markus Goeller
    Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Taper building, A238, 8700 Beverly Blvd, Los Angeles, 90048, USA.
  • Mohamed Marwan
    Department of Cardiology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Ulmenweg 18, Erlangen, Germany.
  • Heidi Gransar
    Departments of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California.
  • Balaji K Tamarappoo
  • Sebastien Cadet
  • Victor Y Cheng
    Minneapolis Heart Institute, Abbott Northwestern Hospital, Minneapolis, MN, USA.
  • Stephan Achenbach
    Department of Cardiology, Friedrich-Alexander Universitat Erlangen-Nurnberg, Erlangen, Germany.
  • Stephen J Nicholls
    Monash Cardiovascular Research Centre, Victorian Heart Institute, Monash University, Melbourne, VIC, Australia; MonashHeart, Monash Health, Melbourne, VIC, Australia.
  • Dennis T Wong
    Monash Cardiovascular Research Centre, Victorian Heart Institute, Monash University, Melbourne, VIC, Australia; MonashHeart, Monash Health, Melbourne, VIC, Australia.
  • Lu Chen
    Ultrasonic Department, Zhongda Hospital Affiliated to Southeast University, Nanjing, 210009, China.
  • J Jane Cao
    Department of Research and Education, Saint Francis Hospital, Roslyn, New York, USA.
  • Daniel S Berman
    Departments of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Marc R Dweck
    British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Chancellor's Building, 49 Little France Cres, Edinburgh, UK.
  • David E Newby
    Edinburgh Imaging Facility QMRI, Edinburgh, EH16 4TJ, UK; Centre for Cardiovascular Science, Edinburgh, EH16 4TJ, UK.
  • Michelle C Williams
    British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Chancellor's Building, 49 Little France Cres, Edinburgh, UK.
  • Piotr J Slomka
    Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California Piotr.Slomka@cshs.org.
  • Damini Dey
    Departments of Imaging and Medicine, and Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Taper A238, Los Angeles, CA, 90048, USA.