ArticleJournal of stroke2021
Prediction of Early Recanalization after Intravenous Thrombolysis in Patients with Large-Vessel Occlusion.
Article in Journal of stroke, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 17 citations in OpenAlex.
- Does the susceptibility vessel sign influence the effectiveness of intravenous thrombolysis before endovascular thrombectomy in acute ischaemic stroke?European stroke journal · 2026Article
- Efficacy and safety of bridging intravenous thrombolysis before mechanical thrombectomy in acute ischemic stroke: A systematic review and meta-analysis.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025Article
- MRI-based Quantitative Collateral Assessment in Acute Stroke : A Comparison with Single-phase CTA in Drip-and-ship Patients with Serial Imaging.Clinical neuroradiology · 2025Article
- Protofibril packing density of individual fibers alters fibrinolysis.Research and practice in thrombosis and haemostasis · 2025Article
- Predictive value of the BDH2-MN2 nomogram model for prognosis at 3 months after receiving intravenous thrombolysis in patients with acute ischemic stroke.Archives of medical science : AMS · 2024Article
- A collateral circulation in ischemic stroke accelerates recanalization due to lower clot compaction.PloS one · 2024Article
- Pivotal role of multiphase computed tomography angiography for collateral assessment in patients with acute ischemic stroke.La Radiologia medica · 2023Review
- World Federation for Interventional Stroke Treatment (WIST) multispecialty training guidelines for endovascular stroke intervention.Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2023Article
- Association between CHADSJournal of clinical medicine · 2022Article
- Meta-Analysis of Predictive Role of Early Neurological Deterioration after Intravenous Thrombolysis.Emergency medicine international · 2022Article
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Authors and funding
31 authors at 12 institutions in 1 country.
Funding
Abstract
background and purposeWe aimed to develop a model predicting early recanalization after intravenous tissue plasminogen activator (t-PA) treatment in large-vessel occlusion.
methodsUsing data from two different multicenter prospective cohorts, we determined the factors associated with early recanalization immediately after t-PA in stroke patients with large-vessel occlusion, and developed and validated a prediction model for early recanalization. Clot volume was semiautomatically measured on thin-section computed tomography using software, and the degree of collaterals was determined using the Tan score. Follow-up angiographic studies were performed immediately after t-PA treatment to assess early recanalization.
resultsEarly recanalization, assessed 61.0±44.7 minutes after t-PA bolus, was achieved in 15.5% (15/97) in the derivation cohort and in 10.5% (8/76) in the validation cohort. Clot volume (odds ratio [OR], 0.979; 95% confidence interval [CI], 0.961 to 0.997; P=0.020) and good collaterals (OR, 6.129; 95% CI, 1.592 to 23.594; P=0.008) were significant factors associated with early recanalization. The area under the curve (AUC) of the model including clot volume was 0.819 (95% CI, 0.720 to 0.917) and 0.842 (95% CI, 0.746 to 0.938) in the derivation and validation cohorts, respectively. The AUC improved when good collaterals were added (derivation cohort: AUC, 0.876; 95% CI, 0.802 to 0.950; P=0.164; validation cohort: AUC, 0.949; 95% CI, 0.886 to 1.000; P=0.036). The integrated discrimination improvement also showed significantly improved prediction (0.097; 95% CI, 0.009 to 0.185; P=0.032).
conclusionsThe model using clot volume and collaterals predicted early recanalization after intravenous t-PA and had a high performance. This model may aid in determining the recanalization treatment strategy in stroke patients with large-vessel occlusion.
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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.