Image-based modeling and precision medicine: patient-specific carotid and coronary plaque assessment and predictions.
Image-based modeling and precision medicine: patient-specific carotid and coronary plaque assessment and predictions.
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基于图像的建模和精准医学：患者特异性颈动脉和冠状动脉斑块评估和预测
DOI：
10.1109/tbme.2013.2242891
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发表时间：
2013-03
期刊：
影响因子：
--
通讯作者：
Yuan C
中科院分区：
文献类型：
--
作者：
Tang D;Yang C;Zheng J;Canton G;Bach RG;Hatsukami TS;Wang L;Yang D;Billiar KL;Yuan C
动脉粥样硬化斑块可能毫无征兆地破裂，引起急性心血管事件，如心脏病发作和中风。目前的临床筛查工具不足以早期识别有风险的患者并预防不良事件的发生。近年来，医学成像和基于图像的建模在识别斑块形态学和机械危险因素方面取得了相当大的进展，这些因素可用于制定改进的患者筛查策略。本文阐述了基于图像的人类颈动脉和冠状动脉斑块模型的关键步骤和因素，以及该领域研究人员在开发更准确的筛查工具方面面临的重大挑战。
Atherosclerotic plaques may rupture without warning and cause acute cardiovascular events such as heart attack and stroke. Current clinical screening tools are insufficient to identify those patients with risks early and prevent the adverse events from happening. Medical imaging and image-based modeling have made considerable progress in recent years in identifying plaque morphological and mechanical risk factors which may be used in developing improved patient screening strategies. The key steps and factors in image-based models for human carotid and coronary plaques were illustrated, as well as grand challenges facing the researchers in the field to develop more accurate screening tools.