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区域僵硬和硬化指数:源自多维动态CTA的用于动脉瘤风险评估的新指标。

Regional Stiffness and Hardening Indices: New Indicators Derived from Multidimensional Dynamic CTA for Aneurysm Risk Assessment.

作者信息

Huang Tianming, Qi Xiaoyu, Cao Lan, Yang Ming, Luo Huan, Li Qin, Qian Peidong, Lu Jia, Lei Ziqiao, Luo Yuanming, Yang Chao

机构信息

Department of Technology, Boea Wisdom (Hangzhou) Network Technology Co., Ltd., Hangzhou, 310000, China.

Department of Vascular Surgery, Union Hospital, Huazhong University of Science and Technology, Wuhan, 43022, China.

出版信息

Adv Sci (Weinh). 2024 Dec;11(47):e2400653. doi: 10.1002/advs.202400653. Epub 2024 Oct 25.

Abstract

Two indices, indicating the regional average stiffness and the pace of strain hardening respectively, are derived from the nonlinear stress-strain behavior obtained from biomechanical analysis of aneurysm. A comprehensive method based on electrocardiographic-gated multidimensional dynamic computed tomography angiography (MD CTA) is developed for extracting these mechanical characteristics in vivo. The proposed indices are evaluated by 26 cases including 9 healthy, one aortosclerosis, and 16 abdominal aortic aneurysm cases. The difference of SSI and dSSI value between aneurysmal and healthy groups is up to orders in magnitude. Significant correlation of these indices with the clinical indicator of aneurysm diameter is found. Logistic models based on these indices are capable to sharply discriminate the healthy and the aneurysmal arteries with AUC>0.98. This work introduces new tools and new indices for aortic mechanical assessment which may shed light on understanding the mechanical condition, pathological state and eventually benefit clinical decision-making.

摘要

从动脉瘤生物力学分析获得的非线性应力-应变行为中,分别导出了两个指标,一个表示区域平均刚度,另一个表示应变硬化速率。开发了一种基于心电图门控多维动态计算机断层血管造影(MD CTA)的综合方法,用于在体内提取这些力学特征。通过26例病例对所提出的指标进行了评估,其中包括9例健康者、1例主动脉硬化患者和16例腹主动脉瘤患者。动脉瘤组和健康组之间的SSI和dSSI值差异高达几个数量级。发现这些指标与动脉瘤直径的临床指标有显著相关性。基于这些指标的逻辑模型能够以AUC>0.98的准确率清晰地区分健康动脉和动脉瘤动脉。这项工作引入了用于主动脉力学评估的新工具和新指标,这可能有助于理解力学状况、病理状态,并最终有益于临床决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e48b/11653626/439dc4fa764c/ADVS-11-2400653-g004.jpg

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