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超声波纹理分析用于预测急性心肌梗塞

Ankush D Jamthikar¹, Quincy A Hathaway², Kameswari Maganti¹

¹Division of Cardiovascular Diseases and Hypertension, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.

JACC. Cardiovascular imaging

|August 15, 2025

概括

一种名为Ultrasomics的新型心脏超声波技术可以通过分析超声波纹理和形态变化来识别心肌梗塞 (MI). 这种机器学习方法显示出了比传统心声回声学更好的诊断的希望.

科学领域:

心脏病学心脏病学
医疗成像医学成像
人工智能的人工智能

背景情况:

急性心肌梗塞 (MI) 改变心肌细胞结构,影响心肌声学特性.
检测这些变化对于准确的诊断和患者管理至关重要.

研究的目的:

评估超声波,一种基于心脏超声波的放射学技术,用于识别心肌梗塞中的超声波纹理和形态变化.
评估训练在超声波特征上的机器学习 (ML) 模型的诊断性能.

主要方法:

利用684名参与者的多源数据,包括回顾性,前性和开源数据集.
从2室和4室心声回声视图中提取手工制作和基于深度传输学习的超声波特征.
训练有素的ML模型使用leave-one-source-out交叉验证进行强大的外部验证.

主要成果:

在确定MI时,ML模型实现了比深度转移学习 (0.74) 高的AUC (0.87),而不是更高的AUC (0.74).
ML概率独立预测MI,即使在调整了传统心声学参数后.
ML概率在区分急性MI方面具有诊断价值,即使是心肌功能障碍,并且在与纵向应变相结合时可以改善预测.

结论:

心脏超性药物显示出区分健康与心肌梗塞的心脏病的显著潜力.
需要在不同人群中进一步验证,以确定其在心肌组织表征中的作用和增量价值.
超声波技术为心肌组织分析提供了一个比传统心声回声学更有前途的进步.

关键词:

一个特殊的观点.超声心电图 (Echocardiography) 是一种心声回声仪.心脏病发作的局部化心肌梗塞的心脏病发作无线电学 (radiomics) 是一种无线电学.超声波的超声波是什么意思

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