ArticleEuropean journal of radiology open2025
A quantitative CT perfusion-derived online dynamic nomogram for predicting hemorrhagic transformation after intravenous thrombolysis in acute ischemic stroke.
Article in European journal of radiology open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Blood-brain barrier vulnerability and microcirculatory dysfunction as predictors of hemorrhagic transformation after endovascular treatment in acute ischemic stroke.Frontiers in aging neuroscience · 2026Article
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6 authors.
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Abstract
Purpose: To evaluate the diagnostic value of cerebral perfusion and its predictive ability of hemorrhagic transformation (HT) in acute ischemic stroke (AIS) after intravenous thrombolysis (IVT) using CT perfusion (CTP). Methods: Retrospective cohort of 55 AIS patients who underwent CTP before IVT was included. Clinical information, such as the National Institutes of Health Stroke Scale (NIHSS) score and history of atrial fibrillation (AF), were collected. CTP parameters, including cerebral blood flow (CBF), cerebral blood volume (CBV), mean transit time (MTT), permeability surface area product (PS), time-to-maximum (Tmax), time to peak (TTP), were measured in pathological hemispheres. Relative values (rCBV, rCBF, rMTT, rPS, rTmax, rTTP) were calculated as pathological-to-asymptomatic hemisphere ROI ratios. Comparisons between HT and non-HT groups were conducted using Student's t-Test and Mann-Whitney U test. ROC curve and Logistic regression analysis were used to evaluate model predictive values. Delong's test compared AUC differences among parameters. Dynamic nomogram model was constructed with R-shiny and evaluated. Results: NIHSS score at admission, NIHSS score before IVT, NIHSS score after IVT, NIHSS score at discharge, AF, PS and rPS were significantly higher than those in the non-HT group ( Conclusion: Dynamic nomogram model combined NIHSS score before IVT, AF and rPS may act as a real-time visualization tool in the prediction of HT risk after IVT in patients with AIS.
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