Evidence map›Paper›PMID 41705149›Full record

ArticlePolish journal of radiology2026

Prognostic value of collateral scoring systems for hemorrhagic transformation after endovascular treatment in acute ischemic stroke.

Tamaz Jaoshvili, Natia Burjanadze, Medea Chichua, Mariam Chikhradze, Nikoloz Sainishvili

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Article in Polish journal of radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Tamaz JaoshviliDavid Aghmashenebeli University of Georgia, Tbilisi, Georgia.
Natia BurjanadzeK. Eristavi National Center of Surgery, Tbilisi, Georgia.
Medea ChichuaK. Eristavi National Center of Surgery, Tbilisi, Georgia.
Mariam ChikhradzeK. Eristavi National Center of Surgery, Tbilisi, Georgia.
Nikoloz SainishviliDavid Aghmashenebeli University of Georgia, Tbilisi, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Hemorrhagic transformation (HT) represents a serious complication in the management of acute ischemic stroke (AIS), particularly following endovascular treatment (EVT). While clinical predictors of HT have been widely studied, the prognostic value of imaging-based collateral scoring systems remains less well defined. The main purpose of the study is to evaluate the prognostic accuracy of four commonly used collateral scoring systems - Miteff, Maas, modified Tan, the Alberta Stroke Program Early CT Score - and combinations of them, with established variables for predicting HT in AIS patients treated with EVT beyond the 4.5-hour window. Material and methods: This retrospective single-center study included 162 AIS patients who underwent EVT between 2017 and 2023. Patients with baseline computed tomography angiography and follow-up computed tomography were included; those receiving thrombolysis were excluded. Collateral status was assessed using four scoring systems. HT was confirmed by imaging. Patients were divided into HT and non-HT groups. Statistical analysis included χ Results: None of the individual collateral scoring systems reached statistical significance as independent predictors of HT. The Collateral Model achieved an area under the curve (AUC) of 0.837 (95% confidence interval [CI]: 0.769-0.906), indicating acceptable discrimination. The Integrated Clinical-Collateral Model further improved predictive performance, with an AUC of 0.933 (95% CI: 0.883-0.983), reflecting excellent accuracy. Conclusions: While individual collateral scoring systems showed limited value in predicting HT risk, their combined use improved prognostic accuracy. The predictive accuracy was even better when collateral scores were integrated with established clinical and imaging predictors.

Indexed as

acute ischemic strokecollateral circulationcomputed tomography angiographyhemorrhagic transformationprognostic factors

Identifiers

PMID41705149
PMCPMC12907791

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