Validation of biomechanical assessment of coronary plaque vulnerability based on intravascular optical coherence tomography and digital subtraction angiography

数字减影血管造影 光学相干层析成像 减法 易损斑块 医学 脆弱性(计算) 生物医学工程 Lasso(编程语言) 放射科 计算机科学 血管造影 人工智能 数学 心脏病学 算术 计算机安全 万维网
作者
Xuehuan Zhang,Nan Nan,Xinyu Tong,Huyang Chen,Xuyang Zhang,Shilong Li,Mingduo Zhang,Bingyu Gao,Xifu Wang,Xiantao Song,Duanduan Chen
出处
期刊:Quantitative imaging in medicine and surgery [AME Publishing Company]
卷期号:14 (2): 1477-1492 被引量:3
标识
DOI:10.21037/qims-23-1094
摘要

Background: It has been suggested that biomechanical factors may influence plaque development. However, key determinants for assessing plaque vulnerability remain speculative. Methods: In this study, a two-dimensional (2D) structural mechanical analysis and a three-dimensional (3D) fluid-structure interaction (FSI) analysis were conducted based on intravascular optical coherence tomography (IV-OCT) and digital subtraction angiography (DSA) data sets. In the 2D study, 103 IV-OCT slices were analyzed. An in-depth morpho-mechanic analysis and a weighted least absolute shrinkage and selection operator (LASSO) regression analysis were conducted to identify the crucial features related to plaque vulnerability via the tuning parameter (λ). In the 3D study, the coronary model was reconstructed by fusing the IV-OCT and DSA data, and a FSI analysis was subsequently performed. The relationship between vulnerable plaque and wall shear stress (WSS) was investigated. Results: The influential factors were selected using the minimum criteria (λ-min) and one-standard error criteria (λ-1se). In addition to the common vulnerable factor of the minimum fibrous cap thickness (FCTmin), four biomechanical factors were selected by λ-min, including the average/maximal displacements and average/maximal stress, and two biomechanical factors were selected by λ-1se, including the average/maximal displacements. Additionally, the positions of the vulnerable plaques were consistent with the sites of high WSS. Conclusions: Functional indices are crucial for plaque status assessment. An evaluation based on biomechanical simulations might provide insights into risk identification and guide therapeutic decisions.
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