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ArticleInterventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences2025

On old dogs and new tricks: CT perfusion predicts hemorrhagic transformation after thrombectomy.

Yazan D Abualnadi, Samantha Miller, Zorain M Khalil, Kaiser O'Sahil Sadiq, Wondewossen G Tekle, Ameer E Hassan

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Article in Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Cited by 1 paper.

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yazan D AbualnadiDepartment of Neuroscience, Valley Baptist Medical Center, Harlingen, TX, USA.ORCID 0000-0003-4744-7726
Samantha MillerDepartment of Neuroscience, Valley Baptist Medical Center, Harlingen, TX, USA.ORCID 0000-0001-9851-8622
Zorain M KhalilDepartment of Neuroscience, Valley Baptist Medical Center, Harlingen, TX, USA.ORCID 0009-0009-2882-9447
Kaiser O'Sahil SadiqDepartment of Neuroscience, Valley Baptist Medical Center, Harlingen, TX, USA.ORCID 0009-0006-5050-6626
Wondewossen G TekleDepartment of Neurology, University of Texas Rio Grande Valley School of Medicine, Harlingen, TX, USA.ORCID 0000-0001-5556-5699
Ameer E HassanDepartment of Neurology, University of Texas Rio Grande Valley School of Medicine, Harlingen, TX, USA.ORCID 0000-0002-7148-7616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionHemorrhagic transformation is a major complication of large vessel occlusion (LVO) recanalization after mechanical thrombectomy in acute ischemic stroke. The hypoperfusion index ratio (HIR) quantifies the severity of cerebral hypoperfusion in the setting of an acute ischemic stroke using CT perfusion (CTP) to compare the volume of severely hypoperfused tissue (time-to-maximum [Tmax] > 10 s) to total hypoperfused tissue (Tmax >6 s), and has emerged as a potential predictor of ischemic core growth and poor outcomes. We investigated whether computed tomography perfusion (CTP) derived hypoperfusion index ratio correlates with the rate of hemorrhagic transformation.MethodsWe conducted a retrospective cohort analysis of a prospectively maintained patient database. Included patients underwent mechanical thrombectomy for large vessel ischemic stroke from January 2019 to December 2022 at a single comprehensive stroke center. Patients were separated into 2 groups depending on whether hemorrhagic transformation developed. Hemorrhagic transformation included any hemorrhage that could be classified according to the ECASS criteria as hemorrhagic infarction (HI)1, HI2, parenchymal hematoma (PH)1 and PH2. Hypoperfusion index ratio on admission CTP was determined using VizAI software. Data were analyzed using Chi-square and Mann-Whitney U tests.ResultsAmong the 289 patients included (median age, 72.5; 41.5% female), 55 (19%) had hemorrhagic transformation. Patients with hemorrhagic transformation had a significantly higher hypoperfusion index ratio (median, 0 vs 0.2; P = 0.004) compared with those with no hemorrhagic transformation. Multivariable analysis showed that for every 0.1 increase in the hypoperfusion index ratio, there was a significant 4.64-fold increase in hemorrhagic transformation (OR 4.64; 95% CI 1.40 to 15.18; p = 0.011).ConclusionIn patients with LVO who underwent mechanical thrombectomy, a higher hypoperfusion index ratio on admission CTP was associated with an increased rate of hemorrhagic transformation. This suggests that the hypoperfusion index ratio could be used as a predictor for hemorrhagic transformation after mechanical thrombectomy.

Indexed as

Hemorrhagic transformationhypoperfusion index ratiomechanical thrombectomystroke

Identifiers

PMID41066500
PMCPMC12510989

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.