Automated, machine learning-based, 3D echocardiographic quantification of left ventricular mass.

Journal: Echocardiography (Mount Kisco, N.Y.)
Published Date:

Abstract

BACKGROUND: Although 3D echocardiography (3DE) circumvents many limitations of 2D echocardiography by allowing direct measurements of left ventricular (LV) mass, it is seldom used in clinical practice due to time-consuming analysis. A recently developed 3DE machine learning (ML) approach allows automated determination of LV mass. We aimed to evaluate the accuracy of this new approach by comparing it to cardiac magnetic resonance (CMR) reference and to conventional 3DE volumetric analysis.

Authors

  • Valentina Volpato
    Centro Cardiologico Monzino Scientific Institute for Research, Hospitalisation and Health Care (IRCCS) Milan Italy.
  • Victor Mor-Avi
    Cardiac Imaging Center, University of Chicago Medical Center, Chicago, Illinois.
  • Akhil Narang
    Cardiac Imaging Center, University of Chicago Medical Center, Chicago, Illinois.
  • David Prater
    Philips Healthcare, Andover, Massachusetts.
  • Alexandra Gonçalves
    Philips Healthcare, Andover, Massachusetts.
  • Gloria Tamborini
    Department of Cardiovascular Sciences, Centro Cardiologico Monzino, Milan, Italy.
  • Laura Fusini
    Department of Cardiovascular Sciences, Centro Cardiologico Monzino, Milan, Italy.
  • Mauro Pepi
    Clinical Cardiology Unit and Department of Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
  • Amit R Patel
    Cardiac Imaging Center, University of Chicago Medical Center, Chicago, Illinois.
  • Roberto M Lang
    Cardiac Imaging Center, University of Chicago Medical Center, Chicago, Illinois.