ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2021
Perfusion and permeability as diagnostic biomarkers of cavernous angioma with symptomatic hemorrhage.
Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Molecular Pathways and Circulating Biomarkers in Cerebral Cavernous Malformations-A Systematic Review.International journal of molecular sciences · 2026Pooled it
- Circulating Blood Prognostic Biomarker Signatures for Hemorrhagic Cerebral Cavernous Malformations (CCMs).International journal of molecular sciences · 2024Article
- Trial Readiness of Cavernous Malformations With Symptomatic Hemorrhage, Part II: Biomarkers and Trial Modeling.Stroke · 2024Article
- Perfusion and Permeability MRI Predicts Future Cavernous Angioma Hemorrhage and Growth.Journal of magnetic resonance imaging : JMRI · 2022Article
- Cerebral Hemorrhage: Pathophysiology, Treatment, and Future Directions.Circulation research · 2022Review
- COVID-19 in a Hemorrhagic Neurovascular Disease, Cerebral Cavernous Malformation.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2021Article
Corrections and comments
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Authors and funding
19 authors at 2 institutions in 1 country.
Funding
Abstract
Cavernous angiomas with symptomatic hemorrhage (CASH) have a high risk of rebleeding, and hence an accurate diagnosis is needed. With blood flow and vascular leak as established mechanisms, we analyzed perfusion and permeability derivations of dynamic contrast-enhanced quantitative perfusion (DCEQP) MRI in 745 lesions of 205 consecutive patients. Thirteen respective derivations of lesional perfusion and permeability were compared between lesions that bled within a year prior to imaging (N = 86), versus non-CASH (N = 659) using machine learning and univariate analyses. Based on logistic regression and minimizing the Bayesian information criterion (BIC), the best diagnostic biomarker of CASH within the prior year included brainstem lesion location, sporadic genotype, perfusion skewness, and high-perfusion cluster area (BIC = 414.9, sensitivity = 74%, specificity = 87%). Adding a diagnostic plasma protein biomarker enhanced sensitivity to 100% and specificity to 85%. A slightly modified derivation achieved similar accuracy (BIC = 321.6, sensitivity = 80%, specificity = 82%) in the cohort where CASH occurred 3-12 months prior to imaging after signs of hemorrhage would have disappeared on conventional MRI sequences. Adding the same plasma biomarker enhanced sensitivity to 100% and specificity to 87%. Lesional blood flow on DCEQP may distinguish CASH after hemorrhagic signs on conventional MRI have disappeared and are enhanced in combination with a plasma biomarker.
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Registered trials
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