Radiomics and machine learning for predicting valve vegetation in infective endocarditis: a comparative analysis of mitral and aortic valves using TEE imaging.

Journal: Acta cardiologica
Published Date: Jun 12, 2025

Abstract

BACKGROUND: Detecting valve vegetation in infective endocarditis (IE) poses challenges, particularly with mechanical valves, because acoustic shadowing artefacts often obscure critical diagnostic details. This study aimed to classify native and prosthetic mitral and aortic valves with and without vegetation using radiomics and machine learning.

Authors

  • Farid Esmaely
    Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
  • Pardis Moradnejad
    Rajaie Cardiovascular Research Center, Rajaie Cardiovascular Institute, Tehran, Iran.
  • Shabnam Boudagh
    Echocardiography Research Center, Rajaie Cardiovascular Institute, Tehran, Iran.
  • Ahmad Bitarafan-Rajabi
    Cardiovascular Intervention Research Center, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran; Echocardiography Research Center, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.

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