Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry.

Journal: Journal of cardiovascular computed tomography
Published Date: Apr 30, 2018

Abstract

INTRODUCTION: Machine learning (ML) is a field in computer science that demonstrated to effectively integrate clinical and imaging data for the creation of prognostic scores. The current study investigated whether a ML score, incorporating only the 16 segment coronary tree information derived from coronary computed tomography angiography (CCTA), provides enhanced risk stratification compared with current CCTA based risk scores.

Authors

  • Alexander R van Rosendael
    Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.
  • Gabriel Maliakal
    Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, USA.
  • Kranthi K Kolli
    Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, USA.
  • Ashley Beecy
    Division of Cardiology, Department of Medicine, Weill Cornell Medicine and NewYork-Presbyterian, New York, NY, USA.
  • Subhi J Al'Aref
    Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, USA.
  • Aeshita Dwivedi
    Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, USA.
  • Gurpreet Singh
    Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore.
  • Mohit Panday
    Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.
  • Amit Kumar
    Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.
  • Xiaoyue Ma
    Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.
  • Stephan Achenbach
    Department of Cardiology, Friedrich-Alexander Universitat Erlangen-Nurnberg, Erlangen, Germany.
  • Mouaz H Al-Mallah
    Division of Cardiovascular Medicine, Henry Ford Hospital, Detroit, Michigan; King Saud bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center, King AbdulAziz Cardiac Center, Ministry of National Guard, Health Affairs, Riyadh, Saudi Arabia. Electronic address: mouaz74@gmail.com.
  • Daniele Andreini
    Division of Cardiology and Cardiac Imaging, IRCCS Ospedale Galeazzi - Sant'Ambrogio Milan, Italy.
  • Jeroen J Bax
    Departments of Cardiology, Heart Lung Centre, Leiden University Medical Center, Leiden, The Netherlands.
  • Daniel S Berman
    Departments of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Matthew J Budoff
    Los Angeles Biomedical Research Institute at Harbor UCLA Medical Center, Torrance, CA, USA. mbudoff@labiomed.org.
  • Filippo Cademartiri
    Cardiovascular Imaging Center, SDN IRCCS, Naples, Italy.
  • Tracy Q Callister
    Tennessee Heart and Vascular Institute, Hendersonville, TN, USA.
  • Hyuk-Jae Chang
    Department of Cardiology, Yonsei University College of Medicine, Seoul, Republic Of Korea.
  • Kavitha Chinnaiyan
    Department of Cardiology, William Beaumont Hospital, Royal Oak, MI, USA.
  • Benjamin J W Chow
    Department of Medicine, Division of Cardiology, University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON K1Y 4W7, Canada.
  • Ricardo C Cury
    Department of Radiology, Miami Cardiac and Vascular Institute, Miami, FL, USA.
  • Augustin DeLago
    Capitol Cardiology Associates, Albany, NY, USA.
  • Gudrun Feuchtner
    Department of Radiology, Medical University of Innsbruck, Innsbruck, Austria.
  • Martin Hadamitzky
    School of Medicine and Health, Institute for Cardiovascular Radiology and Nuclear Medicine, German Heart Center Munich, TUM University Hospital, Technical University of Munich, Munich, Germany.
  • Joerg Hausleiter
    Medizinische Klinik I der Ludwig-Maximilians-UniversitätMünchen, Munich, Germany.
  • Philipp A Kaufmann
    Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland; and.
  • Yong-Jin Kim
    Seoul National University Hospital, Seoul, South Korea.
  • Jonathon A Leipsic
    Department of Medicine and Radiology, University of British Columbia, Vancouver, BC, CA, USA.
  • Erica Maffei
    Department of Radiology, Area Vasta 1/ASUR Marche, Urbino, Italy.
  • Hugo Marques
    UNICA, Unit of Cardiovascular Imaging, Hospital da Luz, Lisboa, Portugal.
  • Gianluca Pontone
    Department of Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
  • Gilbert L Raff
    Department of Cardiology, William Beaumont Hospital, Royal Oak, MI, USA.
  • Ronen Rubinshtein
    Department of Cardiology at the Lady Davis Carmel Medical Center, The Ruth and Bruce Rappaport School of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.
  • Leslee J Shaw
    Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA.
  • Todd C Villines
    Cardiology Service, Walter Reed National Military Center, Bethesda, MD, USA.
  • Heidi Gransar
    Departments of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California.
  • Yao Lu
    Department of Laboratory Medicine, The First Affiliated Hospital of Ningbo University, Ningbo First Hospital, Ningbo, China.
  • Erica C Jones
    Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.
  • Jessica M Peña
    Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.
  • Fay Y Lin
    Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.
  • James K Min
    3 Department of Radiology, Weill Cornell Medicine , New York, New York.

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