This preliminary proof-of-concept study of four patients found that CFD simulations built from post-recanalization CTA could recreate the contrast agent distribution seen in carotid artery occlusion, including a high-pressure dead space in the distal C1 segment during C4 occlusion, offering preliminary evidence for understanding contrast distribution and imaging assessment of occlusion length.
Key Findings
Background
Conventional imaging in carotid artery occlusion can misestimate occlusion length, which motivated the use of CFD to analyze contrast agent distribution.
The authors state that conventional imaging modalities often lead to inaccuracies in occlusion length assessment in AIS caused by CAO.
These inaccuracies could compromise therapeutic decision-making.
The study aimed to analyze contrast distribution patterns with CFD and to mitigate errors in estimating occlusion length.
Methods
The study analyzed four patients with AIS caused by CAO, using CFD simulations built from postoperative CTA and compared with preoperative CTA and intraoperative DSA.
Sample size was four patients.
CFD simulations used postoperative CTA data to model contrast agent flow.
Simulation results were compared with preoperative CTA and intraoperative DSA.
Results
A flame sign at the ICA origin was seen on CTA/DSA in Patients 1-3, with differing underlying etiologies.
Patients 1 and 2 had carotid dissection.
Patient 3 had a C4-segment embolic occlusion.
Results
Patient 3's DSA showed contrast features distinct from Patients 1 and 2.
DSA showed vortices at the C1 origin.
DSA showed a horizontal contrast-blood interface.
There was no distal C1 opacification.
Results
CFD simulation using the post-recanalization CTA model replicated the contrast distribution observed in Patient 3, including the vortices and the horizontal interface.
Proximal C1 vortex ranges, velocities, pressures, and wall shear stress were comparable.
The mass-weighted average velocity varied over time.
Results
CFD simulations of C4-segment occlusion revealed a high-pressure dead space in the distal C1 segment.
This dead space is consistent with the lack of distal C1 contrast opacification on DSA.
The simulation recreated contrast agent distribution during C4 segment occlusion.
Conclusions
The authors conclude that the study provides preliminary evidence for understanding contrast agent distribution in carotid occlusions that may inform clinical imaging assessment.
The study is described as a preliminary proof-of-concept with four patients.
The findings may help reduce errors in estimating occlusion length.
What This Means
When a large artery in the neck or head is blocked and causes a stroke, doctors rely on scans with injected contrast dye to judge how long the blockage is. These scans can be misleading, because the dye may not fill the vessel beyond the blockage in the way people expect. That could affect treatment decisions.
This small study looked at four stroke patients with carotid artery blockage. The researchers used computer fluid-flow simulations, built from scans taken after the blockage was reopened, to model how contrast dye would move through the artery. In one patient with a blockage further along the artery (the C4 segment), the simulation reproduced what was seen on the angiogram: swirling dye near the start of the C1 segment, a flat boundary between dye and blood, and no dye reaching the farther part of C1. The model suggested a high-pressure stagnant zone in the distal C1 segment that explains why dye did not fill it.
This research suggests that computer simulations might help clinicians interpret contrast patterns and estimate blockage length more accurately. However, the study included only four patients and is a preliminary proof-of-concept, so larger studies would be needed to confirm these findings.
Wu J, Xu G, Gan Q, Shi R, Cao L, Fu P. (2026). Computational Fluid Dynamics Analysis of Contrast Agent Distribution in Acute Large Artery Occlusive Stroke: A Preliminary Proof-of-Concept Study.. Revista de neurologia. https://doi.org/10.31083/RN54176