Aortic valve leaflet motion for diagnosis and classification of aortic stenosis using single view echocardiography.

Journal: Journal of cardiovascular imaging
Published Date: Jul 8, 2025

Abstract

BACKGROUND: Accurate classification of aortic stenosis (AS) severity remains challenging despite detailed echocardiographic assessment. Adjudication of severity is informed by subjective interpretation of aortic leaflet motion from the first image parasternal long axis (PLAX) view, but quantitative metrics of leaflet motion currently do not exist. The objectives of the study were to echocardiographically quantify aortic leaflet motion using the PLAX view and correlate motion data with Doppler-derived hemodynamic indices of disease severity, and predict significant AS using these isolated motion data.

Authors

  • Thomas Meredith
    Department of Cardiology, St Vincent's Hospital, Sydney, NSW, Australia.
  • Farhan Mohammed
    School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia.
  • Amy Pomeroy
    Victor Chang Cardiac Research Institute, Sydney, NSW, Australia.
  • Sebastiano Barbieri
    Centre for Big Data Research in Health, UNSW, Sydney, Australia.
  • Erik Meijering
    Biomedical Imaging Group Rotterdam, Departments of Medical Informatics and Radiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • Louisa Jorm
    Centre for Big Data Research in Health, University of New South Wales, Sydney, NSW, Australia.
  • David Roy
    École Polytechnique de Montréal, Montreal, Canada.
  • Christopher Hayward
    Department of Cardiology, St Vincent's Hospital, Sydney, NSW 2010, Australia.
  • Jason C Kovacic
    Cardiovascular Research Center, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
  • David W M Muller
    Department of Cardiology, St Vincent's Hospital, Sydney, NSW, Australia.
  • Michael P Feneley
    Department of Cardiology, St Vincent's Hospital, Sydney, NSW, Australia.
  • Mayooran Namasivayam
    Department of Cardiology, St. Vincent's Hospital, Faculty of Medicine, University of New South Wales, and Heart Valve Disease and Artificial Intelligence Laboratory, Victor Chang Cardiac Research Institute, Sydney, Australia. Electronic address: mayooran.namasivayam@unsw.edu.au.

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