Prevalence of low-flow state by automated machine-learning 3D echocardiography in patients with moderate-to-severe aortic stenosis and normal ejection-fraction.

Journal: The international journal of cardiovascular imaging
Published Date: Apr 10, 2025

Abstract

BACKGROUND: In aortic valve stenosis (AS), measurement of stroke volume index (SVi) by the 2D Doppler- technique is required to calculate the aortic valve area (AVA) and determine flow status but is prone to systematic errors.

Authors

  • Andrea Barbieri
    Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, Policlinico di Modena, University of Modena and Reggio Emilia, Via del Pozzo, 71, Modena, 41124, Italy. barbieriandrea65@gmail.com.
  • Vera Laus
    Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, Policlinico di Modena, University of Modena and Reggio Emilia, Via del Pozzo, 71, Modena, 41124, Italy.
  • Francesca Bursi
    Department of Health Sciences, Division of Cardiology, ASST Santi Paolo e Carlo, San Paolo Hospital, University of Milan, Milan, Italy.
  • Silvia Bonatti
    Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, Policlinico di Modena, University of Modena and Reggio Emilia, Via del Pozzo, 71, Modena, 41124, Italy.
  • Mattia Malaguti
    Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, Policlinico di Modena, University of Modena and Reggio Emilia, Via del Pozzo, 71, Modena, 41124, Italy.
  • Matteo Paolini
    Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, Policlinico di Modena, University of Modena and Reggio Emilia, Via del Pozzo, 71, Modena, 41124, Italy.
  • Giuseppe Boriani

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