使用心电图门控计算机断层扫描测量体内主动脉弹性:体外负荷试验验证。

0 CARDIAC & CARDIOVASCULAR SYSTEMS
Junki Yokota, Takashi Shirakawa, Kazuo Shimamura, Takayuki Shijo, Koichi Maeda, Takuji Kawamura, Kizuku Yamashita, Toru Ide, Ryota Matsumoto, Ryoto Sakaniwa, Daisuke Yoshioka, Shigeru Miyagawa
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引用次数: 0

摘要

目的:主动脉瘤的大小是手术干预的关键决定因素,但在达到大小标准之前可能会发生主动脉灾难,这表明仅靠大小不足以进行风险评估。主动脉的力学特性可能是预测此类灾难的另一个因素。然而,其估计在日常临床设置仍然不切实际。本研究旨在验证一种基于无创心电图门控计算机断层扫描(EGCT)的方法,通过将其测量结果与切除标本的离体拉伸试验进行比较,来评估主动脉力学性能。方法:对49例行升主动脉修复术的患者进行分析。使用两个参数评估主动脉壁的力学性能:弹性模量(E),代表刚度,应变能(SE),反映存储的变形能。对切除的标本进行体外负荷试验,而使用定制分析插件从术前EGCT扫描中获得体内测量值。采用Spearman相关(r)、Bland-Altman分析和类内相关系数(ICC)评估方法之间的相关性和一致性。结果:基于egct的E和SE测量值与离体负荷试验具有较强的相关性(r = 0.733和r = 0.773)。Bland-Altman分析显示了良好的一致性,E的偏差最小,SE的比例偏差为负。ICC值表明,E的信度为良好至优异(0.86),SE的信度为中等(0.63)。结论:基于egct的测量是一种可行、可靠的无创评估主动脉力学特性的方法。虽然需要进一步的研究来完善预测的准确性,但这种方法可能会在未来的临床实践中增强主动脉灾难的风险分层。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In vivo aortic elasticity measurement using electrocardiogram-gated computed tomography: validation with ex vivo loading test.

Objectives: Aortic aneurysm size is a key determinant for surgical intervention, but aortic catastrophes can occur before reaching the size criteria, indicating size alone is insufficient for risk assessment. Aortic mechanical properties could be another factor for predicting such catastrophes. However, its estimation in daily clinical settings remains impractical. This study aimed to validate a noninvasive electrocardiogram-gated computed tomography (EGCT)-based method for assessing aortic mechanical properties by comparing its measurements with ex vivo tensile testing of resected specimens.

Methods: We analysed 49 patients who underwent surgical repair of the ascending aorta. The mechanical properties of the aortic wall were assessed using two parameters: elastic modulus (E), representing stiffness and strain energy (SE), reflecting stored deformation energy. Ex vivo loading test was performed on resected specimens, while in vivo measurements were obtained from preoperative EGCT scans using a custom analysis plugin. Correlation and agreement between methods were evaluated using Spearman's correlation (r), Bland-Altman analysis and intraclass correlation coefficients (ICC).

Results: EGCT-based measurements of E and SE showed strong correlations with ex vivo loading test (r = 0.733 and r = 0.773, respectively). Bland-Altman analysis demonstrated good agreement, with minimal bias for E and a negative proportional bias for SE. ICC values indicated good-to-excellent reliability for E (0.86) and moderate reliability for SE (0.63).

Conclusions: EGCT-based measurement is a feasible, reliable method for assessing aortic mechanical properties noninvasively. Although further studies are needed to refine predictive accuracy, this approach may enhance risk stratification for aortic catastrophes in future clinical practice.

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