Evidence map›Paper›PMID 40690121›Full record

ArticleAnnals of biomedical engineering2025

A Novel Method for Functional Assessment of the Stenosis of the Anterior Cerebral Circulation.

Long Yu, Deyuan Zhu, Yunhan Cai, Yibin Fang, Shengzhang Wang

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Article in Annals of biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Long Yu *Department of Aeronautics and Astronautics, Institute of Biomechanics, Fudan University, Handan Road, Shanghai, 200433, China.
Deyuan Zhu *Stroke Center, School of Medicine, Shanghai Fourth People's Hospital, Tongji University, Sanmen Road, Shanghai, 200080, China.
Yunhan CaiDepartment of Aeronautics and Astronautics, Institute of Biomechanics, Fudan University, Handan Road, Shanghai, 200433, China.
Yibin FangStroke Center, School of Medicine, Shanghai Fourth People's Hospital, Tongji University, Sanmen Road, Shanghai, 200080, China. fangyibin4@163.com.
Shengzhang WangDepartment of Aeronautics and Astronautics, Institute of Biomechanics, Fudan University, Handan Road, Shanghai, 200433, China. szwang@fudan.edu.cn.ORCID http://orcid.org/0000-0003-2364-3896

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe cerebral anterior circulation arteries are the primary vessels supplying blood to the brain, and severe stenosis in these arteries can lead to ischemic stroke. Traditional imaging-based methods for assessing stenosis severity primarily focus on the diameter reduction at the narrowest point, which often fails to accurately reflect the functional severity of arterial stenosis. The FFR is considered the gold standard for assessing coronary artery stenosis. This study aims to revisit the original definition of FFR and develop a method for functionally assessing stenosis in the cerebral anterior circulation arteries.

methodsPatient-specific artery models representing both stenosed and post-repair conditions were generated based on clinical data. Numerical simulation models were then developed, and BFFR was calculated as an assessment metric. The accuracy of the numerical simulation model was validated through in vitro experiments.

resultsThe average bifurcation coefficient across the 9 cases was 2.82. The numerical simulation results for all cases were consistent with the clinical CTP measurements, accurately distinguishing the relative blood flow between the left and right arteries. The mean BFFR

conclusionCompared to traditional diameter stenosis rates, BFFR offers a significant advantage in evaluating cerebral artery stenosis. Furthermore, the numerical simulation model developed in this study demonstrated high accuracy.

Indexed as

Cerebrovascular CirculationModels, CardiovascularAgedConstriction, PathologicFemaleHumansMaleMiddle AgedBlood fractional flow reserveCerebral artery stenosisCerebral microartery modelHemodynamics

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.