Evidence map›Paper›PMID 42035390›Full record

ArticleCardiovascular and interventional radiology2026

In Vivo Validation of Computational Fluid Dynamics for Determining the Pressure Gradient for Multi-segmental Femoropopliteal Disease.

L van de Velde, L Rutten, M van Werkum, P Cernohorsky, E Groot Jebbink, M Versluis, M M P J Reijnen

Abstract readValidation Study
In one paragraph

Article in Cardiovascular and interventional radiology, 2026. 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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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

L van de VeldeMulti-Modality Medical Imaging Group (M3I), TechMed Centre, University of Twente, Enschede, The Netherlands. lennartvelde@gmail.com.ORCID http://orcid.org/0000-0001-8804-8671
L RuttenMulti-Modality Medical Imaging Group (M3I), TechMed Centre, University of Twente, Enschede, The Netherlands.
M van WerkumDepartment of Radiology, Rijnstate, Arnhem, The Netherlands.
P CernohorskyDepartment of Radiology, Rijnstate, Arnhem, The Netherlands.
E Groot JebbinkMulti-Modality Medical Imaging Group (M3I), TechMed Centre, University of Twente, Enschede, The Netherlands.
M VersluisPhysics of Fluids Group, TechMed Centre, University of Twente, Enschede, The Netherlands.
M M P J ReijnenMulti-Modality Medical Imaging Group (M3I), TechMed Centre, University of Twente, Enschede, The Netherlands.

Funding

Stichting voor de Technische Wetenschappen P17-32
6 · The paper itself

Abstract

purposeIn peripheral arterial disease, the presence of multi-segmental (adjacent) stenotic lesions is common. The application of anatomic grading and duplex ultrasound for defining the significance of multi-segmental lesions is limited. This study aimed to validate computational fluid dynamics (CFD) simulations for estimating the pressure gradient in patients with multi-segmental femoropopliteal disease. MATERIALS AND

methodsFifteen patients scheduled for angiography with multiple lesions in the femoropopliteal artery were prospectively enrolled. Pressures were recorded in rest and after papaverine administration using sheath and pressure-wire measurements. The resting pressure gradient of the full segment and the fractional flow reserve (FFR) of the full segment and individual lesions were calculated. These metrics were noninvasively replicated by CTA-based CFD using a reference flow rate (CFDm) and a duplex ultrasound-derived flow rate (CFDi). The agreement and diagnostic accuracy of CFD for identifying hemodynamic significance was assessed.

resultsCFDm underestimated the pressure gradient by - 4.0 ± 6.2 mmHg (mean ± SD). CFDi closely approximated the measured gradient with a 0.1 ± 3.1 mmHg difference. The full-segment FFR had a - 0.02 ± 0.06 difference and the individual-lesion FFR had a 0.01 ± 0.06 difference relative to the measured FFR. The diagnostic accuracy of CFD for the resting pressure gradient was 73% (CFDi) and 80% (CFDm). CFD demonstrated a diagnostic accuracy of 89% for full-vessel FFR and 83% for individual-lesion FFR.

conclusionThe results provide proof-of-concept validation for the use of CFD for noninvasive assessment of multi-segmental femoropopliteal disease. This could guide the treatment plan of multi-segmental PAD. LEVEL OF EVIDENCE: Level 3b, Individual case-control study.

Indexed as

Femoral ArteryHydrodynamicsPeripheral Arterial DiseasePopliteal ArteryAgedBlood Flow VelocityComputed Tomography AngiographyComputer SimulationFemaleHumansMaleMiddle AgedProspective StudiesUltrasonography, Doppler, DuplexComputational fluid dynamicsFemoral arteryFractional flow reservePeripheral artery diseasePressure gradient

Identifiers

PMID42035390
PMCPMC13212610

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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.