Key result
CFD simulations replicate DSA contrast dynamics in carotid occlusion, identifying proximal vortices and distal dead space.
Why the study?
Conventional imaging modalities often inaccurately assess occlusion length in acute ischemic stroke resulting from carotid artery occlusion, potentially compromising therapeutic decision-making. This study used computational fluid dynamics simulations to analyze contrast agent distribution patterns and mitigate errors in estimating occlusion length.
Does computational fluid dynamics (CFD) simulation accurately model contrast agent distribution patterns and explain imaging artifacts in patients with acute ischemic stroke caused by internal carotid artery occlusion?
Observational (n=4)
No
Does computational fluid dynamics (CFD) simulation accurately model contrast agent distribution patterns and explain imaging artifacts in patients with acute ischemic stroke caused by internal carotid artery occlusion?
Answers are grounded in this paper and cite their sources.
Computational fluid dynamics simulations demonstrate that distal internal carotid artery occlusions create a stagnant, high-pressure dead space in the distal C1 segment that prevents contrast penetration, explaining why standard CTA and non-selective DSA can overestimate occlusion length.
BACKGROUND: Acute ischemic stroke (AIS) resulting from carotid artery occlusion (CAO) represents a significant clinical challenge because conventional imaging modalities often lead to inaccuracies in occlusion length assessment, potentially compromising therapeutic decision-making. We aimed to analyze the distribution patterns of contrast agents using computational fluid dynamics (CFD) simulations in AIS caused by CAO and to mitigate errors in estimating occlusion length. METHODS: Data from four patients with AIS caused by CAO were analyzed. CFD simulations were conducted using postoperative computed tomography angiography (CTA) data to model contrast agent flow, and the results were compared with those of preoperative CTA and intraoperative digital subtraction angiography (DSA). RESULTS: CTA/DSA demonstrated a flame sign at the ICA origin in Patients 1-3. Patients 1 and 2 had carotid dissection, whereas Patient 3 had a C4-segment embolic occlusion. In Patient 3, DSA showed C1-origin vortices, a horizontal contrast-blood interface, and no distal C1 opacification, features distinct from those in Patients 1 and 2. CFD simulations using the post-recanalization CTA model replicated this contrast distribution, including the vortices and interface; proximal C1 vortex ranges, velocities, pressures, and wall shear stress were comparable, but the mass-weighted average velocity varied over time. CONCLUSIONS: CFD simulations recreated contrast agent distribution during C4 segment occlusion, revealing a high-pressure dead space in the distal C1 segment. This study generated preliminary evidence for understanding contrast agent distribution in CAOs, offering valuable insights for clinical imaging assessments.
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Wu et al. (2026) conducted an observational in Acute ischemic stroke caused by internal carotid artery occlusion (n=4). Computational fluid dynamics (CFD) simulation of contrast agent flow using postoperative CTA data vs. Preoperative CTA and intraoperative digital subtraction angiography (DSA) was evaluated on Contrast agent distribution patterns and hemodynamic parameters (vortex formation, velocity, pressure, wall shear stress, and dead space). Computational fluid dynamics simulations replicated DSA contrast agent distribution during C4-segment carotid occlusion, revealing proximal C1 vortices and a distal C1 high-pressure dead space.
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