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Intraplaque Hemorrhage Volume and Ischemic Stroke Risk
Shahriar Faghani1,2, Mana Moassefi1,2, Erik Albach2
1From the Radiology Informatics Lab (S.F., M.M., B.J.E.), Department of Radiology, Mayo Clinic, Rochester, Minnesota.
AJNR. American Journal of Neuroradiology
|June 20, 2025
Summary
Intraplaque hemorrhage (IPH) volume in carotid plaques does not predict ischemic event severity. Further research into other plaque characteristics is needed to assess stroke risk.
Area of Science:
- Neurology
- Cardiovascular Medicine
- Radiology
Background:
- Intraplaque hemorrhage (IPH) is a key marker of carotid plaque vulnerability.
- The correlation between IPH volume and the severity of neurological symptoms is not well understood.
- Carotid atherosclerosis poses a significant risk for ischemic neurological events.
Purpose of the Study:
- To investigate the association between the volume of intraplaque hemorrhage (IPH) in carotid atherosclerotic plaques and the severity of ischemic neurological events.
- To determine if IPH volume can serve as a predictive biomarker for ischemic event severity.
Main Methods:
- Retrospective analysis of 358 patients with suspected carotid atherosclerosis undergoing carotid plaque MRI.
- IPH detection and volumetric segmentation using T1-weighted imaging with fat suppression and semi-automated software.
- Statistical analysis including Mann-Whitney U tests and ROC curves to assess IPH volume and symptom severity.
Main Results:
- 120 out of 358 patients had IPH-positive carotid plaques.
- No significant differences in IPH volumes were observed across different symptom categories (amaurosis fugax, TIA, stroke) or event laterality.
- Receiver Operating Characteristic (ROC) analysis showed limited discriminatory power for IPH volume thresholds in predicting ischemic event severity.
Conclusions:
- Carotid IPH volume is detectable but does not significantly correlate with ischemic event severity.
- IPH volume alone has low diagnostic accuracy for predicting ischemic stroke risk.
- Other plaque characteristics and systemic factors likely play a more crucial role in determining stroke risk.

