Quantitative Magnetic Resonance Imaging and Computational Analysis of Hemodynamics for Evaluating Internal Carotid Artery Stenosis

Motivation: Assessment of internal carotid artery (ICA) stenosis is based on %stenosis which does not account for plaque vulnerability (PV) or hemodynamics. Goal(s): We used qMatch and MRI-informed computational fluid dynamics (CFD) to assess differences in PV and hemodynamics in patients with severe ICA stenosis. Approach: Patients with asymptomatic >70% ICA stenosis were prospectively enrolled for MRI. CFD models informed by phase-contrast-MRI and time-of-flight-MRI/CTA were used to measure hemodynamics. PV was assessed via qMatch-MRI. Results: 23 patients were included(8 surgery). Hemodynamics did not differ between surgery and non-surgery patients. Twelve patients had qMatch data and 3(25%) had PV. 12 non-surgery patients had concerning hemodynamics/PV. Impact: This work highlights how percentage ICA stenosis does not account for physiological-relevant risks for stroke. We found a subset of patients not selected for surgery that may be at high risk of stroke. These data support larger follow-up prospective studies.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/1627
Primary Topic
Cerebrovascular and Carotid Artery Diseases
Type
article
Field-Weighted Citation Impact
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article

Quantitative Magnetic Resonance Imaging and Computational Analysis of Hemodynamics for Evaluating Internal Carotid Artery Stenosis

C. Alberto Figueroa, Yibin Xie, Drew J. Braet, Jacob Richardson et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Cerebrovascular and Carotid Artery Diseases
article

Quantitative Magnetic Resonance Imaging and Computational Analysis of Hemodynamics for Evaluating Internal Carotid Artery Stenosis

C. Alberto Figueroa, Yibin Xie, Drew J. Braet, Jacob Richardson, Hsu‐Lei Lee, Nicholas Osborne, Vivek Dandu, Lu Meng
article en

Abstract

Motivation: Assessment of internal carotid artery (ICA) stenosis is based on %stenosis which does not account for plaque vulnerability (PV) or hemodynamics. Goal(s): We used qMatch and MRI-informed computational fluid dynamics (CFD) to assess differences in PV and hemodynamics in patients with severe ICA stenosis. Approach: Patients with asymptomatic >70% ICA stenosis were prospectively enrolled for MRI. CFD models informed by phase-contrast-MRI and time-of-flight-MRI/CTA were used to measure hemodynamics. PV was assessed via qMatch-MRI. Results: 23 patients were included(8 surgery). Hemodynamics did not differ between surgery and non-surgery patients. Twelve patients had qMatch data and 3(25%) had PV. 12 non-surgery patients had concerning hemodynamics/PV. Impact: This work highlights how percentage ICA stenosis does not account for physiological-relevant risks for stroke. We found a subset of patients not selected for surgery that may be at high risk of stroke. These data support larger follow-up prospective studies.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 64%
Cerebrovascular and Carotid Artery Diseases
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