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PMID: 29530025 Published · epublish English Journal Article

Carotid DSA based CFD simulation in assessing the patient with asymptomatic carotid stenosis: a preliminary study.

Biomedical engineering online ·Vol. 17 ·No. 1 ·2018-03-12 ·页码 31

Zhang D, Xu P, Qiao H, Liu X, Luo L, Huang W, Zhang H, Shi C

Abstract

Cerebrovascular events are frequently associated with hemodynamic disturbance caused by internal carotid artery (ICA) stenosis. It is challenging to determine the ischemia-related carotid stenosis during the intervention only using digital subtracted angiography (DSA). Inspired by the performance of well-established FFRct technique in hemodynamic assessment of significant coronary stenosis, we introduced a pressure-based carotid arterial functional assessment (CAFA) index generated from computational fluid dynamic (CFD) simulation in DSA data, and investigated its feasibility in the assessment of hemodynamic disturbance preliminarily using pressure-wired measurement and arterial spin labeling (ASL) MRI as references. The cerebral multi-delay multi-parametric ASL-MRI and carotid DSA including trans-stenotic pressure-wired measurement were implemented on a 65-year-old man with asymptomatic unilateral (left) ICA stenosis. A CFD simulation using simplified boundary condition was performed in DSA data to calculate the CAFA index. The cerebral blood flow (CBF) and arterial transit time (ATT) of ICA territories were acquired. CFD simulation showed good correlation (r = 0.839, P = 0.001) with slight systematic overestimation (mean difference - 0.007, standard deviation 0.017) compared with pressure-wired measurement. No significant difference was observed between them (P = 0.09). Though the narrowing degree of in the involved ICA was about 70%, the simulated and measured CAFA (0.942/0.937) revealed a functionally nonsignificant stenosis which was also verified by a compensatory final CBF (fronto-temporal/fronto-parietal region: 51.58/45.62 ml/100 g/min) and slightly prolonged ATT (1.23/1.4 s) in the involved territories, together with a normal left-right percentage difference (2.1-8.85%). The DSA based CFD simulation showed good consistence with invasive approach and could be used as a cost-saving and efficient way to study the relationship between hemodynamic disorder caused by ICA stenosis and subsequent perfusion variations in brain. Further research should focus on the role of noninvasive pressure-based CAFA in screening asymptomatic ischemia-causing carotid stenosis.

Keywords
Angiography CFD Carotid stenosis Perfusion
MeSH 主题词
Aged Angiography, Digital Subtraction Asymptomatic Diseases Carotid Stenosis/diagnostic imaging,physiopathology Computer Simulation Hemodynamics Humans Hydrodynamics Male
作者与单位
共 8 位作者,点击展开单位 / ORCID
Zhang Dong
Department of Medical Imaging Center, The First Affiliated Hospital, Jinan University, No. 613, Huangpu Road West, Tianhe District, Guangzhou, 510630, Guangdong Province, China.
Xu Pengcheng
Department of Anatomy, Guangdong Provincial Key Laboratory of Medical Biomechanics, School of Basic Medical Science, Southern Medical University, Guangzhou, 510515, China.
Qiao Hongyu
Department of Medical Imaging Center, The First Affiliated Hospital, Jinan University, No. 613, Huangpu Road West, Tianhe District, Guangzhou, 510630, Guangdong Province, China.
Liu Xin
Department of Anatomy, Guangdong Provincial Key Laboratory of Medical Biomechanics, School of Basic Medical Science, Southern Medical University, Guangzhou, 510515, China.
Luo Liangping
Department of Medical Imaging Center, The First Affiliated Hospital, Jinan University, No. 613, Huangpu Road West, Tianhe District, Guangzhou, 510630, Guangdong Province, China.
Huang Wenhua
Department of Anatomy, Guangdong Provincial Key Laboratory of Medical Biomechanics, School of Basic Medical Science, Southern Medical University, Guangzhou, 510515, China.
Zhang Heye
Institute of Advanced Computing and Digital Engineering, Shenzhen Institutes of Advanced Technology, 1068 Xueyuan Ave, Xili University Town, Nanshan, Shenzhen, 518055, Guangdong Province, China. [email protected].
Shi Changzheng ORCID
Department of Medical Imaging Center, The First Affiliated Hospital, Jinan University, No. 613, Huangpu Road West, Tianhe District, Guangzhou, 510630, Guangdong Province, China. [email protected].
Article Info
Journal
Biomedical engineering online
Abbr.
Biomed Eng Online
ISSN
1475-925X
Published
2018-03-12
电子出版
2018-00-12
页码
31
Language
English
Country/Region
England
NLM ID
101147518
基金资助
Collaborative Innovation Program of Hong Kong and Guangdong Province · 2016A050503032
National Key Research and Development Program of China · 2016YFC1301700
the Science Technology and Innovation Committee of Shenzhen for Research Projects · JCYJ20151030151431727
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