ArticleNeuroradiology2022
Predicting hemorrhagic transformation after thrombectomy in acute ischemic stroke: a multimodal score of the regional pial collateral.
Article in Neuroradiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.
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Who cites it
12 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Early Predictive Accuracy of Machine Learning for Hemorrhagic Transformation in Acute Ischemic Stroke: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Traditional and machine learning models for predicting haemorrhagic transformation in ischaemic stroke: a systematic review and meta-analysis.Systematic reviews · 2025Pooled it
- Prognostic role of dynamic neutrophil-to-lymphocyte ratio in acute ischemic stroke after reperfusion therapy: A meta-analysis.Frontiers in neurology · 2023Pooled it
- Risk factors of hemorrhagic transformation in acute ischaemic stroke: A systematic review and meta-analysis.Frontiers in neurology · 2023Pooled it
- The value of multiphase CT angiography in predicting hemorrhagic transformation after endovascular treatment: the arterial collaterals and venous drainage.Quantitative imaging in medicine and surgery · 2026Article
- Machine learning-enabled prediction of hemorrhagic transformation post-thrombectomy using quantitative DSA.Scientific reports · 2026Article
- On old dogs and new tricks: CT perfusion predicts hemorrhagic transformation after thrombectomy.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025Article
- Predictive value of CT imaging features on the risk of hemorrhagic transformation after mechanical thrombectomy for acute ischemic stroke with large vessel obstruction.Biomedical engineering online · 2025Article
- Evaluating predictive models for hemorrhagic transformation post-mechanical thrombectomy in acute ischemic stroke.Frontiers in neurology · 2025Review
- Hemorrhagic Coagulation Disorders and Ischemic Stroke: How to Reconcile Both?Neurology international · 2023Review
- Computed Tomography Perfusion Parameters Predictive of Symptomatic Intracranial Hemorrhage After Mechanical Thrombectomy in Patients With Cerebral Large Vessel Occlusion.Stroke (Hoboken, N.J.) · 2023Article
- Analysis of influencing factors of hemorrhagic transformation in patients with large vessel occlusion stroke after mechanical thrombectomy.American journal of translational research · 2023Article
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Authors and funding
5 authors.
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Abstract
purposeThis study aims to analyze the multimodal score of the regional pial collateral in predicting hemorrhagic transformation (HT) after mechanical thrombectomy in acute ischemic stroke (AIS).
methodsOn the basis of different brain regions and multiphase computed tomography angiography (mCTA), we evaluated the pial arterial filling status in extent, delay, and contrast washout. The prediction models of HT and symptomatic intracerebral hemorrhage (sICH) were established using mCTA (model-H1 and model-S1), CT perfusion (CTP, model-H2 and model-S2), and comprehensive parameters (model-H3 and model-S3). The receiver operating characteristic curve was used to analyze the prediction performance of each model.
resultsAmong the 102 patients with AIS who received thrombectomy, 36 (35.3%) developed HT, and 15 (14.7%) of whom had sICH. In model-H1 and model-S1, washout independently influenced HT (OR, 95%CI 0.398, 0.249-0.634) and sICH (OR, 95%CI 0.552, 0.342-0.892). In model-H2, the relative surface permeability independently influenced HT (OR, 95%CI 1.217, 1.082-1.370). Model-H3 and model-S3 improved the prediction performance (areas under the curve: HT, 0.957; sICH, 0.938). The correlation coefficients between relative cerebral blood volume and the three modes of pial arterial filling status were higher than those of other CTP parameters. The 90-day modified Rankin scale score in the sICH group was significantly increased (P < 0.05).
conclusionThe multimodal regional pial collateral score has good value in the risk assessment of HT and sICH in patients with AIS after mechanical thrombectomy. The combination of multiple parameters can improve diagnostic performance.
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