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July 18, 2026European Journal of RadiologyOpen Access

Computational fluid dynamics correlates with disease progression, achieving ~95% diagnostic accuracy for iliac stenosis.

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Why the study?

Does computational fluid dynamics (CFD) provide clinically relevant hemodynamic assessments in arterial occlusive diseases?

Population

34 studies applying computational fluid dynamics to arterial occlusive diseases, with >5 patients and…

Design

Systematic_review

Key result

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.

Authors

WLWeihao LiYTYiheng TanHDHubert P. J. van der Doef

Discussion

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Overview

CFD may support noninvasive iliac assessment; leaves open prospective validation before practice change.

Key Points

  • This review aims to explore the methodologies and clinical uses of computational fluid dynamics in assessing arterial occlusive diseases.
  • Literature searched in MEDLINE, CENTRAL, and Embase for studies using CFD in arterial occlusive diseases, focusing on populations of more than 5 patients.
  • Included studies examined CFD techniques, hemodynamic parameters, and their correlations with clinical outcomes.
  • A total of 34 out of 1,925 studies identified were analyzed.
  • High wall shear stress and oscillatory shear index predicted plaque vulnerability in carotid artery diseases.
  • CFD-derived pressure gradients achieved up to 95% diagnostic accuracy for iliac stenosis.
  • In renal artery stenosis, high peak wall shear stress indicated critical cases.

Structured PICO

Does computational fluid dynamics (CFD) provide clinically relevant hemodynamic assessments in arterial occlusive diseases?

P
Population
A scoping review of 34 studies evaluating the clinical applications and methodological considerations of computational fluid dynamics in arterial occlusive diseases.
E
Exposure
Computational fluid dynamics (CFD) for hemodynamic assessment
O
Outcome
Methodological considerations and clinical applications/correlations of CFD (e.g., wall shear stress, oscillatory shear index, pressure gradients)surrogate

CFD offers detailed hemodynamic assessments that correlate with diagnostic accuracy and disease progression in arterial occlusive diseases, though standardization and clinical validation are needed.

Limitations

  • Lack of standardization of CFD protocols
  • Need for improved inlet data acquisition
  • Computational burden
  • Lack of robust clinical validation

Cite This Study

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.

synapsesocial.com/papers/6a5b38f68167787360d24e11https://doi.org/10.1016/j.ejrad.2026.113087
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