ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2013
A fast nonlinear regression method for estimating permeability in CT perfusion imaging.
Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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10 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke: a systematic review and meta-analysis.European radiology · 2019Pooled it
- Trial
- Inferring CT perfusion parameters and uncertainties using a Bayesian approach.Quantitative imaging in medicine and surgery · 2022Article
- A compact solution for estimation of physiological parameters from ultrafast prostate dynamic contrast enhanced MRI.Physics in medicine and biology · 2019Article
- Computed Tomography Perfusion Derived Blood-Brain Barrier Permeability Does Not Yet Improve Prediction of Hemorrhagic Transformation.Cerebrovascular diseases (Basel, Switzerland) · 2018Article
- Relation between stroke severity, patient characteristics and CT-perfusion derived blood-brain barrier permeability measurements in acute ischemic stroke.Clinical neuroradiology · 2016Article
- Application of Blood-Brain Barrier Permeability Imaging in Global Cerebral Edema.AJNR. American journal of neuroradiology · 2016Article
- Imaging Findings Associated with Space-Occupying Edema in Patients with Large Middle Cerebral Artery Infarcts.AJNR. American journal of neuroradiology · 2016Article
- Fast nonlinear regression method for CT brain perfusion analysis.Journal of medical imaging (Bellingham, Wash.) · 2016Article
- CT perfusion during delayed cerebral ischemia after subarachnoid hemorrhage: distinction between reversible ischemia and ischemia progressing to infarction.Neuroradiology · 2015Article
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6 authors at 1 institution in 1 country.
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Abstract
Blood-brain barrier damage, which can be quantified by measuring vascular permeability, is a potential predictor for hemorrhagic transformation in acute ischemic stroke. Permeability is commonly estimated by applying Patlak analysis to computed tomography (CT) perfusion data, but this method lacks precision. Applying more elaborate kinetic models by means of nonlinear regression (NLR) may improve precision, but is more time consuming and therefore less appropriate in an acute stroke setting. We propose a simplified NLR method that may be faster and still precise enough for clinical use. The aim of this study is to evaluate the reliability of in total 12 variations of Patlak analysis and NLR methods, including the simplified NLR method. Confidence intervals for the permeability estimates were evaluated using simulated CT attenuation-time curves with realistic noise, and clinical data from 20 patients. Although fixating the blood volume improved Patlak analysis, the NLR methods yielded significantly more reliable estimates, but took up to 12 × longer to calculate. The simplified NLR method was ∼4 × faster than other NLR methods, while maintaining the same confidence intervals (CIs). In conclusion, the simplified NLR method is a new, reliable way to estimate permeability in stroke, fast enough for clinical application in an acute stroke setting.
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