无创成像创新:FFR-CT 结合斑块特征描述,为您的心脏健康保驾护航。

Jianjun Wu, Dawei Yang, Youqi Zhang, Huimin Xian, Ziqian Weng, Liu Ji, Fan Yang
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引用次数: 0

摘要

研究表明,高风险斑块特征(包括薄纤维帽、富脂核心、斑块体积大和斑块内微钙化)与急性冠状动脉事件的发生密切相关。CT 导出分数血流储备(CT-FFR)是一种无创成像后处理技术,它利用人工智能分析从传统冠状动脉 CT 血管造影(CCTA)获得的数据。FFR-CT 技术可对冠状动脉病变进行血流动力学评估,有助于预测潜在的心血管风险。本综述总结了有关 FFR-CT、斑块特征和血液动力学之间复杂关系的最新研究进展,将斑块的体积、组成和分布与冠状动脉狭窄的临床意义紧密联系起来。希望这些研究成果能为临床医生提供有价值的指导,促进 CT 在无创检测易损斑块方面的应用,从而更有效地预防和管理冠心病。未来,FFR-CT 技术的进一步优化和临床应用的扩大有望显著降低冠心病的发病率和死亡率,为心血管疾病的预防和治疗带来新的希望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-invasive imaging innovation: FFR-CT combined with plaque characterization, safeguarding your cardiac health.

Studies have shown that high-risk plaque features (including thin fibrous caps, lipid-rich cores, large plaque volumes, and intraplaque microcalcifications) are closely associated with the occurrence of acute coronary events. CT-derived fractional flow reserve (CT-FFR) is a non-invasive imaging post-processing technique that utilizes artificial intelligence to analyze data obtained from conventional coronary CT angiography (CCTA). FFR-CT technology offers the hemodynamic assessment of coronary lesions, aiding in the prediction of potential cardiovascular risks. This review summarizes the latest research progress on the complex relationship between FFR-CT, plaque characteristics, and hemodynamics, closely linking plaque volume, composition, and distribution with the clinical significance of coronary artery stenosis. It is hoped that these research findings will provide valuable guidance for clinicians, promoting the application of CT in the non-invasive detection of vulnerable plaques, thereby more effectively preventing and managing coronary artery disease. In the future, further optimization of FFR-CT technology and expansion of its clinical application are expected to significantly reduce the incidence and mortality of coronary artery disease, offering new hope for the prevention and treatment of cardiovascular diseases.

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