冠状动脉计算机断层扫描血管造影术中心肌的深度学习分析用于识别显著的冠状动脉狭窄

Peerawut Deeprasertkul, C. Dailing, M. Budoff
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引用次数: 0

摘要

阻塞性冠状动脉疾病(CAD)是美国死亡的主要原因(1)。提高认识和管理大大降低了死亡率(1)。心脏压力试验已广泛用于检测有心绞痛症状的阻塞性CAD。然而,由于压力成像的灵敏度有限、耗时和费用高昂,心脏压力测试并不是诊断胸痛病因的理想测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deep learning analysis of the myocardium in coronary computerized tomography angiography for identification significant coronary artery stenosis
Obstructive coronary artery disease (CAD) is the leading cause of death in the United States (1). Increasing in awareness, and management has decreased the mortality tremendously (1). Cardiac stress test has been widely used to detect the obstructive CAD, in patients with symptom of cardiac angina. However, due to limited sensitivity, time consuming nature of stress imaging, and the expense, cardiac stress testing is not an ideal test for diagnosing the etiology of chest pain.
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