Yi Shan , Ya-yan Yin , Bi-xiao Cui , Shao-zhen Yan , Yue Zhang , Bin Yang , Yan Ma , Jie Lu
{"title":"Evaluation of cerebrovascular reactivity impairment using resting-state BOLD MRI in symptomatic patients with unilateral intracranial artery occlusion","authors":"Yi Shan , Ya-yan Yin , Bi-xiao Cui , Shao-zhen Yan , Yue Zhang , Bin Yang , Yan Ma , Jie Lu","doi":"10.1016/j.cccb.2026.100532","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>Cerebral vascular reactivity (CVR) is an independent predictor of poor prognosis for patients with symptomatic middle cerebral artery (MCA)/internal carotid artery (ICA) occlusion. This study assessed CVR impairment using resting-state blood oxygenation level-dependent (RS BOLD) MRI in this population and aimed to identify feasible pre-surgical markers.</div></div><div><h3>Methods</h3><div>The study included 45 patients with symptomatic unilateral MCA/ICA occlusion and 20 healthy controls. Of these, 16 underwent extracranial-intracranial (EC-IC) bypass with follow-up MRI. RS BOLD data were collected using a 3.0 T PET/MR system. Voxel-wise CVR maps were computed with a general linear model, and the mean CVR in the MCA perfusion territory was calculated. Interhemispheric CVR asymmetry index (CVR-AI) was assessed. Group differences were analyzed, and ROC analysis was used to evaluate CVR's diagnostic performance. Pearson correlation was used to assess relationships between baseline CVR and post-surgical changes.</div></div><div><h3>Results</h3><div>Affected-side CVR was significantly lower compared to the contralateral side and controls (<em>P</em> < 0.01). Individual analysis showed significant differences in the proportions of decreased, normal, and increased CVR between the affected and contralateral sides (<em>P</em> < 0.0001). CVR-AI showed high predictive efficiency for discriminating patients from controls (AUC = 0.762). Post-surgery, the affected-side CVR increased significantly, whereas CVR-AI decreased but remained higher than in controls (<em>P</em> < 0.05). Preoperative CVR-AI positively correlated with post-surgery affected-side CVR increase (<em>R</em> = 0.725) and CVR-AI decrease (<em>R</em> = 0.635).</div></div><div><h3>Conclusion</h3><div>This study proposes CVR-AI as a novel imaging marker for pre-surgical evaluation in patients with unilateral intracranial arterial occlusion.</div></div>","PeriodicalId":72549,"journal":{"name":"Cerebral circulation - cognition and behavior","volume":"10 ","pages":"Article 100532"},"PeriodicalIF":2.8000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cerebral circulation - cognition and behavior","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S266624502600005X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/7 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives
Cerebral vascular reactivity (CVR) is an independent predictor of poor prognosis for patients with symptomatic middle cerebral artery (MCA)/internal carotid artery (ICA) occlusion. This study assessed CVR impairment using resting-state blood oxygenation level-dependent (RS BOLD) MRI in this population and aimed to identify feasible pre-surgical markers.
Methods
The study included 45 patients with symptomatic unilateral MCA/ICA occlusion and 20 healthy controls. Of these, 16 underwent extracranial-intracranial (EC-IC) bypass with follow-up MRI. RS BOLD data were collected using a 3.0 T PET/MR system. Voxel-wise CVR maps were computed with a general linear model, and the mean CVR in the MCA perfusion territory was calculated. Interhemispheric CVR asymmetry index (CVR-AI) was assessed. Group differences were analyzed, and ROC analysis was used to evaluate CVR's diagnostic performance. Pearson correlation was used to assess relationships between baseline CVR and post-surgical changes.
Results
Affected-side CVR was significantly lower compared to the contralateral side and controls (P < 0.01). Individual analysis showed significant differences in the proportions of decreased, normal, and increased CVR between the affected and contralateral sides (P < 0.0001). CVR-AI showed high predictive efficiency for discriminating patients from controls (AUC = 0.762). Post-surgery, the affected-side CVR increased significantly, whereas CVR-AI decreased but remained higher than in controls (P < 0.05). Preoperative CVR-AI positively correlated with post-surgery affected-side CVR increase (R = 0.725) and CVR-AI decrease (R = 0.635).
Conclusion
This study proposes CVR-AI as a novel imaging marker for pre-surgical evaluation in patients with unilateral intracranial arterial occlusion.