Key result
Computational fluid dynamics correlates with disease progression, achieving ~95% diagnostic accuracy for iliac stenosis.
Why the study?
To examine the methodological considerations and clinical applications of computational fluid dynamics in arterial occlusive diseases across carotid, peripheral, renal, and aortic segments.
Does computational fluid dynamics (CFD) provide clinically relevant hemodynamic assessments in arterial occlusive diseases?
Does computational fluid dynamics (CFD) provide clinically relevant hemodynamic assessments in arterial occlusive diseases?
CFD offers detailed hemodynamic assessments that correlate with diagnostic accuracy and disease progression in arterial occlusive diseases, though standardization and clinical validation are needed.
Answers are grounded in this paper and cite their sources.
CFD may support noninvasive iliac assessment; leaves open prospective validation before practice change.
Objectives This scoping review aims to examine the methodological considerations and clinical applications of computational fluid dynamics (CFD) in arterial occlusive diseases spanning the carotid, peripheral, renal, and aortic segments. Methods MEDLINE, CENTRAL, and Embase were searched for studies applying CFD to arterial occlusive diseases (except for coronary and intracranial segments). Studies with more than 5 patients and clinical outcome data were included. Data on CFD techniques, hemodynamic parameters, and clinical correlations were extracted. Results From 1,925 identified studies, 34 were included. Blood flow measurements were obtained primarily using Doppler ultrasound (n = 17) and phase-contrast MRI (n = 10). Twenty-four studies specified inlet velocity profiles, with parabolic (n = 11), Womersley (n = 10), and plug (n = 3) patterns. Transient (pulsatile) flow (n = 18) was more frequently modeled than steady flow (n = 9). In carotid artery disease (n = 23), high wall shear stress (WSS) and oscillatory shear index (OSI) predicted plaque vulnerability and restenosis, with high WSS linked to ulceration and low WSS to plaque growth. In peripheral artery disease (n = 6), low time-averaged WSS (TAWSS) and high OSI predicted restenosis, particularly in curved segments. CFD-derived pressure gradients achieved up to 95% diagnostic accuracy for iliac stenosis. For renal artery stenosis (n = 3), high peak WSS and velocity indicated critical cases, and in aortic diseases (n = 2), elevated TAWSS and OSI highlighted post-repair risks. Conclusions CFD offers detailed hemodynamic assessment that correlates with diagnostic accuracy, disease progression, treatment strategies and outcomes. Future research should prioritize standardization of CFD protocols, improved inlet data acquisition, reduced computational burden, and robust clinical validation.
No takes yet. Share an insight, caveat, or question.
Li et al. (2026) conducted a review in Arterial occlusive diseases (n=34). Computational fluid dynamics (CFD) was evaluated on Hemodynamic parameters and clinical correlations. Computational fluid dynamics provided detailed hemodynamic assessment that correlated with disease progression, with CFD-derived pressure gradients achieving up to 95% diagnostic accuracy for iliac stenosis.
Synapse has enriched 10 related papers. Consider them for comparative context: