深度学习及影像组学在肥厚型心肌病中的应用进展

Application progresses of deep learning andradiomic in hypertrophic cardiomyopathy

肥厚型心肌病(HCM)是最常见的非缺血性心肌病之一。超声心动图(UCG)和心脏MR(CMR)等是诊断HCM的主要影像学方法,但分析HCM图像较为繁琐,且需要进行鉴别诊断,导致诊断难度增加。近年来,深度学习和影像组学在智能化诊断HCM、自动化处理图像、预测基因型及心肌纤维化等方面发挥重要作用。本文对深度学习和影像组学技术在HCM中的应用进展进行综述。

Hypertrophic cardiomyopathy(HCM)is one of the most prevalent non-ischemic cardiomyopathy.Ultrasonic cardiography(UCG)and cardiac MR(CMR)were the primary imaging diagnostic methods for HCM,but the difficulty was increased since troublesome image analysis and differentiation.In recent years,deep learning and radiomics were applied to HCM,having significant value for intelligent diagnosis of HCM,automated processing of images and predicting genotype and myocardial fibrosis.The application progresses of deep learning and radiomic in HCM were reviewed in this article.