Automated proximal coronary artery calcium identification using artificial intelligence: advancing cardiovascular risk assessment.

Journal: European heart journal. Cardiovascular Imaging
PMID:

Abstract

AIMS: Identification of proximal coronary artery calcium (CAC) may improve prediction of major adverse cardiac events (MACE) beyond the CAC score, particularly in patients with low CAC burden. We investigated whether the proximal CAC can be detected on gated cardiac CT and whether it provides prognostic significance with artificial intelligence (AI).

Authors

  • Jianhang Zhou
    PAMI Research Group, Dept. of Computer and Information Science, University of Macau, Taipa, Macau, China; Shenzhen Research Institute of Big Data, Shenzhen, 518172, China. Electronic address: yc07424@um.edu.mo.
  • Aakash D Shanbhag
    Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California.
  • Donghee Han
    Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University Health System, Seoul, Republic of Korea.
  • Anna M Marcinkiewicz
    Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, 6500 Wilshire Boulevard, Los Angeles, CA 90048, USA.
  • Mikołaj Buchwald
    Network Services Department, Poznan Supercomputing and Networking Center, Polish Academy of Sciences, Poznań, Poland.
  • 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.
  • Aditya Killekar
    Division of Artificial Intelligence, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Nipun Manral
    Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Kajetan Grodecki
    Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California.
  • 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.).
  • Konrad Pieszko
    Department of Cardiology, Nowa Sól Multidisciplinary Hospital, Nowa Sól, Poland.
  • Jirong Yi
    Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, 6500 Wilshire Boulevard, Los Angeles, CA 90048, USA.
  • Wenhao Zhang
    Aliyun School of Big Data, Changzhou University, 213164 Changzhou, China.
  • Parker Waechter
    Departments of Medicine (Division of Artificial Intelligence), Imaging and Biomedical Sciences Cedars-Sinai Medical Center, 6500 Wilshire Blvd, Floor 4, Los Angeles 90048 CA, USA.
  • Heidi Gransar
    Departments of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California.
  • 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.
  • Daniel S Berman
    Departments of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Piotr J Slomka
    Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California Piotr.Slomka@cshs.org.