摘要
左心室肥厚是多种心血管疾病的中间表型,早期诊断有助于及时干预,防止病情恶化,减少心力衰竭、心律失常等严重并发症,从而改善预后。深度学习在左心室肥厚的早期诊断和病因识别中取得初步进展。本文介绍左心室肥厚的病理生理学、病因及诊断标准,探讨深度学习在超声心动图、心脏磁共振成像和心电图等诊断方法中的应用优势与局限性,分析其在预后评估中的应用,并总结现有成果和提出未来研究方向。
As an intermediate phenotype for multiple cardiovascular diseases,left ventricular hypertrophy(LVH)benefits from early diagnosis,which allows for timely intervention to prevent worsening of the condition,mitigate severe complications like heart failure and arrhythmias,and consequently improve patient outcomes.Preliminary advances have been made using deep learning for the early diagnosis and identification of etiology in LVH.This paper reviews the pathophysiology,causes,and diagnostic standards for LVH,discusses the strengths and weaknesses of applying deep learning to diagnostic tools such as echocardiography,cardiac magnetic resonance imaging,and electrocardiogram,examines its use in prognostic evaluation,and concludes by summarizing current achievements and suggesting future research avenues.
作者
徐洪洋
邱鹏
曹慧
张俊忠
马志明
XU Hongyang;QIU Peng;CAO Hui;ZHANG Junzhong;MA Zhiming(School of Medical Information Engineering,Shandong University of Traditional Chinese Medicine,Jinan,250355,P.R.China;First Clinical Medical College,Shandong University of Traditional Chinese Medicine,Jinan,250355,P.R.China)
出处
《中国胸心血管外科临床杂志》
北大核心
2025年第10期1495-1503,共9页
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
基金
国家自然科学基金(82374620,82074579)。
关键词
深度学习
左心室肥厚
超声心动图
心脏磁共振成像
心电图
预后
综述
Deep learning
left ventricular hypertrophy
echocardiography
cardiac magnetic resonance imaging
electrocardiogram
prognosis
review
