ArticleJournal of magnetic resonance imaging : JMRI2020
Pattern recognition analysis of dynamic susceptibility contrast (DSC)-MRI curves automatically segments tissue areas with intact blood-brain barrier in a rat stroke model: A feasibility and comparison study.
Article in Journal of magnetic resonance imaging : JMRI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Blood-brain barrier disruption and increased free water are associated with worse cognitive performance in patients with chronic cerebrovascular disease.NeuroImage. Clinical · 2024Trial
- Disruption of the Blood-Brain Barrier Predicts Progression of Cerebral Small Vessel Disease White Matter Hyperintensities.Annals of neurology · 2026Article
- Blood-brain barrier breakdown in brain ischemia: Insights from MRI perfusion imaging.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025Review
- The Key Role of Magnetic Resonance Imaging in the Detection of Neurodegenerative Diseases-Associated Biomarkers: A Review.Molecular neurobiology · 2022Review
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Authors and funding
5 authors.
Funding
Abstract
backgroundThe manual segmentation of intact blood-brain barrier (BBB) regions in the stroke brain is cumbersome, due to the coexistence of infarction, large blood vessels, ventricles, and intact BBB regions, specifically in areas with weak signal enhancement following contrast agent injection. HYPOTHESIS: That from dynamic susceptibility contrast (DSC)-MRI alone, without user intervention, regions of weak BBB damage can be segmented based on the leakage-related parameter K STUDY TYPE: Feasibility. ANIMAL MODEL: Ten female Sprague-Dawley rats (SD, 200-250g) underwent 1-hour middle carotid artery occlusion (MCAO) and 1-day reperfusion. Two SD rats underwent 1-hour MCAO with 3-day and 5-day reperfusion. FIELD STRENGTH/SEQUENCE: 7T; ADC and T ASSESSMENT: Constrained nonnegative matrix factorization (cNMF) was applied to the dynamic STATISTICAL TESTS: Mean ± standard deviation of ΔT
resultsMildly BBB-damaged areas (indistinguishable from DCE-MRI (10 min) parameters) were automatically segmented. Areas of voxels with intact BBB, classified by automated cNMF, matched closely the corresponding, manually-derived areas when respective areas were used in estimating K DATA
conclusionAutomatic segmentation of short DSC-MRI data alone successfully identified areas with intact and compromised BBB in the stroke brain and compared favorably with manual segmentation. LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2020;51:1369-1381.
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