Machine Learning-Based Three-Dimensional Echocardiographic Quantification of Right Ventricular Size and Function: Validation Against Cardiac Magnetic Resonance.

Journal: Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
Published Date: Aug 1, 2019

Abstract

BACKGROUND: Three-dimensional echocardiography (3DE) allows accurate and reproducible measurements of right ventricular (RV) size and function. However, widespread implementation of 3DE in routine clinical practice is limited because the existing software packages are relatively time-consuming and skill demanding. The aim of this study was to test the accuracy and reproducibility of new machine learning- (ML-) based, fully automated software for three-dimensional quantification of RV size and function.

Authors

  • Davide Genovese
    University of Chicago Medical Center, Chicago, Illinois; Department of Cardiac, Thoracic and Vascular Sciences, University of Padua, Padua, Italy.
  • Nina Rashedi
    University of Chicago Medical Center, Chicago, Illinois.
  • Lynn Weinert
    University of Chicago Medical Center, Chicago, Illinois.
  • Akhil Narang
    Cardiac Imaging Center, University of Chicago Medical Center, Chicago, Illinois.
  • Karima Addetia
    Department of Medicine, University of Chicago Medical Center, 5758 South Maryland Ave, MC 9067 Room 5513, Chicago, IL, USA.
  • Amit R Patel
    Cardiac Imaging Center, University of Chicago Medical Center, Chicago, Illinois.
  • David Prater
    Philips Healthcare, Andover, Massachusetts.
  • Alexandra Gonçalves
    Philips Healthcare, Andover, Massachusetts.
  • Victor Mor-Avi
    Cardiac Imaging Center, University of Chicago Medical Center, Chicago, Illinois.
  • Roberto M Lang
    Cardiac Imaging Center, University of Chicago Medical Center, Chicago, Illinois.

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