基于计算模型的颈动脉狭窄跨狭窄压比及其对脑缺血的预测价值研究

IF 2.2 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Yingjie Xia, Changpeng Wang, Yan Wang, Fuyou Liang
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引用次数: 0

摘要

经狭窄压力比(此处用dpPR表示)已被提出作为评估颈动脉狭窄(CAS)功能严重程度的补充指标,与狭窄率(SR)互补;然而,dpPR在多大程度上指示脑缺血仍不清楚。在这项研究中,我们建立了一个基于生理学的脑循环计算模型,以产生一种工具,用于生成大规模的计算机数据,以表征左内CAS dpPR随SR变化和各种解剖/病理生理因素的变化,这些因素代表了患者之间的差异。并定义脑缺血指数(CII)评价dpPR对脑缺血的预测价值。结果显示,dpPR受许多与狭窄程度无关的因素的影响,如脑动脉的解剖结构和几何尺寸、平均全身动脉血压(MAP)、脑微循环血流自动调节功能(CFAI量化)以及共存的对侧CAS。与SR相比,dpPR与CII的相关性更强。特别是,如果MAP和CFAI固定,dpPR和CII之间的关系可以用数学函数来描述。这些发现不仅加深了我们对dpPR生理意义的理解,而且为指导dpPR在临床中的应用提供了有价值的理论见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Computational Model-Based Study on Trans-Stenotic Pressure Ratio of Carotid Artery Stenosis and Its Predictive Value for Cerebral Ischemia

A Computational Model-Based Study on Trans-Stenotic Pressure Ratio of Carotid Artery Stenosis and Its Predictive Value for Cerebral Ischemia

Trans-stenotic pressure ratio (herein denoted by dpPR) has been proposed as a complementary index to stenosis rate (SR) for assessing the functional severity of carotid artery stenosis (CAS); however, it remains unclear how well dpPR can indicate cerebral ischemia. In this study, a physiology-based computational model of the cerebral circulation was developed to yield a tool for generating large-scale in silico data to characterize the changes of the dpPR of the left internal CAS in response to variations in SR and various anatomical/pathophysiological factors that represent inter-patient differences. In addition, a cerebral ischemia index (CII) was defined to evaluate the predictive value of dpPR for cerebral ischemia. Results showed that dpPR was affected by many factors unrelated to the severity of stenosis, such as the anatomical structure and geometrical size of cerebral arteries, mean systemic arterial blood pressure (MAP), flow autoregulation function of cerebral microcirculation (quantified by CFAI), and coexisting contralateral CAS. In comparison with SR, dpPR exhibited a stronger correlation with CII. In particular, the relationship between dpPR and CII was found to be describable by a mathematical function if MAP and CFAI were fixed. The findings not only deepen our understanding of the physiological implications of dpPR but also provide valuable theoretical insights to guide the application of dpPR in clinical practice.

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来源期刊
International Journal for Numerical Methods in Biomedical Engineering
International Journal for Numerical Methods in Biomedical Engineering ENGINEERING, BIOMEDICAL-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.50
自引率
9.50%
发文量
103
审稿时长
3 months
期刊介绍: All differential equation based models for biomedical applications and their novel solutions (using either established numerical methods such as finite difference, finite element and finite volume methods or new numerical methods) are within the scope of this journal. Manuscripts with experimental and analytical themes are also welcome if a component of the paper deals with numerical methods. Special cases that may not involve differential equations such as image processing, meshing and artificial intelligence are within the scope. Any research that is broadly linked to the wellbeing of the human body, either directly or indirectly, is also within the scope of this journal.
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