ArticleAJNR. American journal of neuroradiology2019
Bayesian Estimation of CBF Measured by DSC-MRI in Patients with Moyamoya Disease: Comparison with
Article in AJNR. American journal of neuroradiology, 2019. 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.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Predicting cerebral hyperperfusion syndrome after STA-MCA bypass in Moyamoya disease with CT perfusion through meta-regression.Neurosurgical review · 2026Pooled it
- Effect of Temporal Sampling Rate on Estimates of the Perfusion Parameters for Patients with Moyamoya Disease Assessed with Simultaneous Multislice Dynamic Susceptibility Contrast-enhanced MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2023Article
- Spatial coefficient of variation of arterial spin labeling MRI for detecting hemodynamic disturbances measured withNeuroradiology · 2022Article
- Progression in Moyamoya Disease: Clinical Features, Neuroimaging Evaluation, and Treatment.Current neuropharmacology · 2022Review
- Time to peak and full width at half maximum in MR perfusion: valuable indicators for monitoring moyamoya patients after revascularization.Scientific reports · 2021Article
- DSC Brain Perfusion Using Advanced Deconvolution Models in the Diagnostic Work-up of Dementia and Mild Cognitive Impairment: A Semiquantitative Comparison with HMPAO-SPECT-Brain Perfusion.Journal of clinical medicine · 2020Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeCBF analysis of DSC perfusion using the singular value decomposition algorithm is not accurate in patients with Moyamoya disease. This study compared the Bayesian estimation of CBF against the criterion standard PET and singular value decomposition methods in patients with Moyamoya disease. MATERIALS AND
methodsNineteen patients with Moyamoya disease (10 women; 22-52 years of age) were evaluated with both DSC and
resultsIn qualitative assessments of DSC-CBF maps, Bayesian-CBF maps showed better visualization of decreased CBF on PET (sensitivity = 62.5%, specificity = 100%, positive predictive value = 100%, negative predictive value = 78.6%) than a block-circulant deconvolution method with a fixed noise cutoff and a block-circulant deconvolution method that adopts an oscillating noise cutoff for each voxel according to the strength of noise (
conclusionsCompared with previously reported singular value decomposition algorithms, Bayesian analysis of DSC perfusion enabled better qualitative and quantitative assessments of CBF in patients with Moyamoya disease.
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