Q I Jia, Nan Nan Sheng, Noemie Ligot, Anissa Abderrakib, Niloufar Sadeghi Maybodi, Gilles Naeije
{"title":"EXPRESS: Perfusion Extent and Hypoperfusion Severity Determine Diaschisis Patterns in Acute Ischemic Stroke: A CT Perfusion Study.","authors":"Q I Jia, Nan Nan Sheng, Noemie Ligot, Anissa Abderrakib, Niloufar Sadeghi Maybodi, Gilles Naeije","doi":"10.1177/0271678X261499044","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Diaschisis reflects remote functional suppression following focal ischemia and large-scale network disruption. We investigate the prevalence, overlap, and determinants of multiple diaschisis subtypes using acute CTP.</p><p><strong>Methods: </strong>We retrospectively analyzed 659 patients with hyperacute large-vessel occlusion stroke. Diaschisis was primarily assessed on CBV maps and classified into Crossed Cerebellar (CCD), Ipsilateral Thalamic (ITD), Ipsilateral Hippocampal (IHD), and CCD+ITD. Tmax-based assessment was exploratory. Multivariable logistic regression evaluated severe hypoperfusion extent (Tmax>6s), hypoperfusion intensity ratio (HIR), and ischemic core volume (CBF<30%).</p><p><strong>Results: </strong>CCD was the most common subtype, followed by ITD and CCD+ITD, whereas IHD was rare. Greater severe hypoperfusion extent was independently associated with CCD, ITD, and CCD+ITD, while higher HIR was additionally associated with ITD, and CCD+ITD. Ischemic core volume was not independently associated with diaschisis. CCD was independently associated with left hemispheric stroke, while combined CCD+ITD was associated with female sex. Exploratory Tmax-based analyses showed broadly similar associations. Subtype overlap suggested involvement of multiple interconnected network nodes.</p><p><strong>Conclusion: </strong>Hyperacute diaschisis reflects ischemia-driven network dysfunction primarily related to severe hypoperfusion extent, with hypoperfusion severity contributing to specific subtypes. These findings support CBV-based CTP assessment for investigating large-scale network vulnerability, while Tmax-based may provide complementary information for future diaschisis research.</p>","PeriodicalId":520660,"journal":{"name":"Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism","volume":" ","pages":"271678X261499044"},"PeriodicalIF":4.5000,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/0271678X261499044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Diaschisis reflects remote functional suppression following focal ischemia and large-scale network disruption. We investigate the prevalence, overlap, and determinants of multiple diaschisis subtypes using acute CTP.
Methods: We retrospectively analyzed 659 patients with hyperacute large-vessel occlusion stroke. Diaschisis was primarily assessed on CBV maps and classified into Crossed Cerebellar (CCD), Ipsilateral Thalamic (ITD), Ipsilateral Hippocampal (IHD), and CCD+ITD. Tmax-based assessment was exploratory. Multivariable logistic regression evaluated severe hypoperfusion extent (Tmax>6s), hypoperfusion intensity ratio (HIR), and ischemic core volume (CBF<30%).
Results: CCD was the most common subtype, followed by ITD and CCD+ITD, whereas IHD was rare. Greater severe hypoperfusion extent was independently associated with CCD, ITD, and CCD+ITD, while higher HIR was additionally associated with ITD, and CCD+ITD. Ischemic core volume was not independently associated with diaschisis. CCD was independently associated with left hemispheric stroke, while combined CCD+ITD was associated with female sex. Exploratory Tmax-based analyses showed broadly similar associations. Subtype overlap suggested involvement of multiple interconnected network nodes.
Conclusion: Hyperacute diaschisis reflects ischemia-driven network dysfunction primarily related to severe hypoperfusion extent, with hypoperfusion severity contributing to specific subtypes. These findings support CBV-based CTP assessment for investigating large-scale network vulnerability, while Tmax-based may provide complementary information for future diaschisis research.