ArticleNeuroImage. Clinical2013
Measurement of blood-brain barrier permeability in acute ischemic stroke using standard first-pass perfusion CT data.
Article in NeuroImage. Clinical, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 24 citations in OpenAlex.
- Blood-Brain Barrier Permeability Dynamics and Mediation of Triglyceride-Glucose Index on Acute Ischemic Stroke Outcomes.Journal of the American Heart Association · 2026Article
- Blood-Brain Barrier Disruption and Imaging Assessment in Stroke.Translational stroke research · 2025Review
- Article
- Neurovascular Unit: Basic and Clinical Imaging with Emphasis on Advantages of Ferumoxytol.Neurosurgery · 2018Review
- Reperfusion facilitates reversible disruption of the human blood-brain barrier following acute ischaemic stroke.European radiology · 2018Article
- Severe Blood-Brain Barrier Disruption in Cardioembolic Stroke.Frontiers in neurology · 2018Article
- Use of electrical impedance tomography to monitor regional cerebral edema during clinical dehydration treatment.PloS one · 2014Article
- Drug delivery to the ischemic brain.Advances in pharmacology (San Diego, Calif.) · 2014Review
- Assessment of Blood-Brain Barrier Permeability by Dynamic Contrast-Enhanced MRI in Transient Middle Cerebral Artery Occlusion Model after Localized Brain Cooling in Rats.Korean journal of radiologyArticle
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeIncreased blood-brain barrier permeability is believed to be associated with complications following acute ischemic stroke and with infarct expansion. Measurement of blood-brain barrier permeability requires a delayed image acquisition methodology, which prolongs examination time, increasing the likelihood of movement artefacts and radiation dose. Existing quantitative methods overestimate blood-brain barrier permeability when early phase CT perfusion data are used. The purpose of this study is to develop a method that yields the correct blood-brain barrier permeability value using first-pass perfusion CT data.
methodsWe acquired 43 CT perfusion datasets, comprising experimental (n = 30) and validation subject groups (n = 13). The Gjedde-Patlak method was used to estimate blood-brain barrier permeability using first-pass (30-60 s after contrast administration) and delayed phase (30-200 s) data. In the experimental group, linear regression was used to obtain a function predicting first-pass blood-brain barrier permeability estimates from delayed phase estimates in each stroke compartment. The reliability of prediction with this function was then tested using data from the validation group.
resultsThe predicted delayed phase blood-brain barrier permeability was strongly correlated with the measured delayed phase value (r = 0.67 and 0.6 for experimental and validation group respectively; p < 0.01). Predicted and measured delayed phase blood-brain barrier permeability in each stroke compartment were not significantly different in both experimental and validation groups.
conclusionWe have developed a method of estimating blood-brain barrier permeability using first-pass perfusion CT data. This predictive method allows reliable blood-brain barrier permeability estimation within standard acquisition time, minimizing the likelihood of motion artefacts thereby improving image quality and reducing radiation dose.
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