An Artificial Intelligence-Driven Approach for Automatic Evaluation of Right-to-Left Shunt Grades in Saline-Contrasted Transthoracic Echocardiography.

Journal: Ultrasound in medicine & biology
PMID: 38692941

Abstract

BACKGROUND: Intracardiac or pulmonary right-to-left shunt (RLS) is a common cardiac anomaly associated with an increased risk of neurological disorders, specifically cryptogenic stroke. Saline-contrasted transthoracic echocardiography (scTTE) is often used for RLS diagnosis. However, the identification of saline microbubbles in the left heart can be challenging for novice residents, potentially leading to a delay in diagnosis and treatment. In this study, we proposed an artificial intelligence (AI)-based algorithm designed to automatically detect microbubbles in scTTE images and evaluate right-to-left shunt grades. This tool aims to support residency training and decrease the workload of cardiologists.

Authors

  • Yajiao Li
    Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Haipeng Chen
    Deepwise AI Lab, Beijing, China.
  • Ximeng Yang
    West China Medical Technology Transfer center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Anjiao Peng
    Department of Neurology and Joint Research Institution of Altitude Health, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Shuxin Wang
    a Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education , Tianjin University , Tianjin , China.
  • Hui Wang
    Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
  • Zhongyuan Jiang
    Department of Clinical Research Management, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Jie Zhang
    College of Physical Education and Health, Linyi University, Linyi, Shandong, China.
  • Yixue Peng
    Department of Clinical Research Management, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Lei Li
    Department of Thoracic Surgery, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China.
  • Lijia Zhuo
    Department of Clinical Research Management, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Mengyu Li
    Department of Ophthalmology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
  • Leihao Sha
    Department of Neurology and Joint Research Institution of Altitude Health, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Bo Peng
    Institute for Environmental and Climate Research, Jinan University, Guangzhou, China.
  • Xiaoqing Liu
  • Lei Chen
    Department of Chemistry, Stony Brook University Stony Brook NY USA.

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