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Clinical implications of haemodynamics in symptomatic intracranial atherosclerotic stenosis by computational fluid dynamics modelling: a systematic review

Yu Liu, Shuang Li, Haipeng Liu, Xuan Tian, Yuying Liu, Ziqi Li, Thomas W Leung, Xinyi Leng
DOI: 10.1136/svn-2024-003202 Published 25 February 2025
Yu Liu
1 Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
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Shuang Li
1 Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
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Haipeng Liu
2 Research Centre for Intelligent Healthcare, Coventry University, Coventry, UK
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Xuan Tian
1 Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
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Yuying Liu
1 Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
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Ziqi Li
1 Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
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Thomas W Leung
1 Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
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Xinyi Leng
1 Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
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    Figure 1

    Flow chart for study screening. CFD, computational fluid dynamics; ICAS, intracranial atherosclerotic stenosis; sICAS, symptomatic intracranial atherosclerotic stenosis.

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  • Table 1

    Study characteristics of the 19 primary studies included in this systematic review

    StudyCountryPatient inclusion criteriaAnterior/
    posterior circulation
    Number of casesSource images and CFD model setupHaemodynamic parameters in CFD model
    Correlations with anatomical characteristics of the sICAS lesions in cross-sectional and longitudinal studies
     Nam et al 15 China50%–99% sICASAnterior circulation56CTA-based generic steady modelPR, SSR ratio, velocity ratio
     Liu et al 11 China70%–99% sICASAnterior and posterior circulations11CTA-based patient-specific transient modelPR
     Zhang et al 16 China50%–99% sICASAnterior circulation40TOF-MRA-based generic transient modelPR, WSSR
     Lan et al 13 China50%–99% sICASAnterior and posterior circulations39CTA-based generic steady modelrWSS measures
    Correlations with collateral and perfusion status in cross-sectional studies
     Leng et al 17 China50%–99% sICASAnterior circulation85CTA-based generic steady modelPressure gradient
     Lan et al 18 China50%–99% sICASAnterior circulation83CTA-based generic steady modelPR
     Wang et al 19 China30%–99% sICASAnterior and posterior circulations18Biplane DSA-based patient-specific steady modelPR
     Raynald et al 12 China50%–70% sICASAnterior and posterior circulations20CTA-based patient-specific transient modelPressure, velocity
     Yin et al
    10
    China50%–99% sICASAnterior and posterior circulations10CTA-based generic transient modelPR
    Correlations with stroke mechanisms in cross-sectional studies
     Feng et al 21 China50%–99% sICASAnterior circulation99CTA-based generic steady modelPR, WSSR
     Li et al 22 China50%–99% sICASAnterior circulation84CTA-based generic steady modelPR
    Correlations with cerebral small vessel disease in cross-sectional study
     Zheng et al 24 China50%–99% sICASAnterior circulation112CTA-based generic steady modelPR, WSSR
    Correlations with the risk of stroke recurrence in medically treated patients with sICAS
     Leng et al 14 China70%–99% sICASAnterior and posterior circulations32CTA-based generic steady modelPR, SSR ratio, velocity ratio
     Leng et al 7 China50%–99% sICASAnterior and posterior circulations245CTA-based generic steady modelPR, WSSR
     Tian et al 25 China50%–99% sICASAnterior and posterior circulations245CTA-based generic steady modelPR, WSSR
     Feng et al 26 China50%–99% sICASAnterior and posterior circulations157CTA-based generic steady modelPR
    Correlations with functional outcome in patients with sICAS receiving acute reperfusion therapy
     Wu et al 27 ChinaPatients receiving intravenous thrombolysis or acute endovascular treatment with 50%–99% sICASAnterior circulation120TOF-MRA-based patient-specific steady modelPR, WSSR
    Changes of the haemodynamic parameters in sICAS with stenting treatment
     Zhang et al 28 China70%–99% sICASAnterior circulation513DRA-based generic transient modelPressure, velocity, vorticity, WSS
     Zhou et al 29 China70%–99% sICASPosterior circulation623DRA-based generic transient modelPressure, velocity, vorticity, WSS
    • CFD, computational fluid dynamics; CTA, CT angiography; 3DRA, three-dimensional rotational angiography; DSA, digital subtraction angiography; PR, pressure ratio; rWSS, relative wall shear stress; sICAS, symptomatic intracranial atherosclerotic stenosis; SSR, shear strain rate; TOF-MRA, time-of-flight MR angiography; WSSR, wall shear stress ratio.

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    [svn-2024-003202supp001.pdf]

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    [svn-2024-003202supp002.pdf]

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    This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.

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    • Data supplement 2
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Clinical implications of haemodynamics in symptomatic intracranial atherosclerotic stenosis by computational fluid dynamics modelling: a systematic review
Yu Liu, Shuang Li, Haipeng Liu, Xuan Tian, Yuying Liu, Ziqi Li, Thomas W Leung, Xinyi Leng
Stroke and Vascular Neurology Feb 2025, 10 (1) 16-24; DOI: 10.1136/svn-2024-003202

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Clinical implications of haemodynamics in symptomatic intracranial atherosclerotic stenosis by computational fluid dynamics modelling: a systematic review
Yu Liu, Shuang Li, Haipeng Liu, Xuan Tian, Yuying Liu, Ziqi Li, Thomas W Leung, Xinyi Leng
Stroke and Vascular Neurology Feb 2025, 10 (1) 16-24; DOI: 10.1136/svn-2024-003202
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Clinical implications of haemodynamics in symptomatic intracranial atherosclerotic stenosis by computational fluid dynamics modelling: a systematic review
Yu Liu, Shuang Li, Haipeng Liu, Xuan Tian, Yuying Liu, Ziqi Li, Thomas W Leung, Xinyi Leng
Stroke and Vascular Neurology Feb 2025, 10 (1) 16-24; DOI: 10.1136/svn-2024-003202
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