SynthesisEuropean radiology2019
Perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke: a systematic review and meta-analysis.
Synthesis in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed, 2 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
- Blood-Brain Barrier Disruption and Hemorrhagic Transformation in Acute Ischemic Stroke: Systematic Review and Meta-Analysis.Frontiers in neurology · 2020Pooled it
- Association between CT Perfusion Parameters and Hemorrhagic Transformation after Endovascular Treatment in Acute Ischemic Stroke: Results from the ESCAPE-NA1 Trial.AJNR. American journal of neuroradiology · 2024Trial
- Blood-Brain Barrier Disruption and Imaging Assessment in Stroke.Translational stroke research · 2025Review
- The e-STROKE Study: The Design of a Prospective Observational Multicentral Study.Journal of cardiovascular development and disease · 2025Article
- Prediction of hemorrhagic transformation after thrombolysis based on machine learning models combined with platelet distribution width-to-count ratio.Frontiers in neurology · 2025Article
- Perfusion Imaging-Based Triage for Acute Ischemic Stroke: Trends in Use and Impact on Clinical Outcomes.Stroke (Hoboken, N.J.) · 2024Article
- Prediction of cerebral hemorrhagic transformation after thrombectomy using a deep learning of dual-energy CT.European radiology · 2024Article
- Assessment of Computed Tomography Perfusion Research Landscape: A Topic Modeling Study.Tomography (Ann Arbor, Mich.) · 2023Review
- Core and penumbra estimation using deep learning-based AIF in association with clinical measures in computed tomography perfusion (CTP).Insights into imaging · 2023Article
- Predictive Value of CT Perfusion in Hemorrhagic Transformation after Acute Ischemic Stroke: A Systematic Review and Meta-Analysis.Brain sciences · 2023Review
- Poor Cortical Venous Opacification on Baseline Computed Tomography Angiography Predicts Parenchymal Hemorrhage After Thrombectomy.Stroke (Hoboken, N.J.) · 2022Article
- Hemorrhagic Transformation Rates following Contrast Media Administration in Patients Hospitalized with Ischemic Stroke.AJNR. American journal of neuroradiology · 2022Article
- Article
- Value of Perfusion CT in the Prediction of Intracerebral Hemorrhage after Endovascular Treatment.Stroke research and treatment · 2021Article
- Article
- Predicting hemorrhagic transformation after large vessel occlusion stroke in the era of mechanical thrombectomy.PloS one · 2021Article
- Study on Model Iterative Reconstruction Algorithm vs. Filter Back Projection Algorithm for Diagnosis of Acute Cerebral Infarction Using CT Images.Journal of healthcare engineering · 2021Article
- Evaluation and Prediction of Post-stroke Cerebral Edema Based on Neuroimaging.Frontiers in neurology · 2021Review
- Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
objectiveTo investigate the diagnostic performance of perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke.
methodsA computerized literature search of Ovid MEDLINE and EMBASE was conducted up to October 29, 2018. Search terms included acute ischemic stroke, hemorrhagic transformation, and perfusion CT. Studies assessing the diagnostic performance of perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke were included. Two reviewers independently evaluated the eligibility of the studies. A bivariate random effects model was used to calculate the pooled sensitivity and pooled specificity. Multiple subgroup analyses were performed.
resultsFifteen original articles with a total of 1134 patients were included. High blood-brain barrier permeability and hypoperfusion status derived from perfusion CT are associated with hemorrhagic transformation. The pooled sensitivity and specificity were 84% (95% CI, 71-91%) and 74% (95% CI, 67-81%), respectively. The area under the hierarchical summary receiver operating characteristic curve was 0.84 (95% CI, 0.81-0.87). The Higgins I
conclusionAlthough various perfusion CT parameters have been used across studies, the current evidence supports the use of perfusion CT to predict hemorrhagic transformation in acute ischemic stroke. KEY POINTS: • High blood-brain barrier permeability and hypoperfusion status derived from perfusion CT were associated with hemorrhagic transformation. • Perfusion CT has moderate diagnostic performance for the prediction of hemorrhagic transformation in acute ischemic stroke. • The pooled sensitivity was 84%, and the pooled specificity was 74%.
Indexed as
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Registered trials
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.