Correlation between Clinical Presentations and Hemodynamic Parameters Measured by Dynamic Susceptibility Contrast Magnetic Resonance Imaging in Adult Patients with Moyamoya Disease

Hirai, Sakyo; Inaji, Motoki; Tanaka, Yoji; Hara, Shoko; Nariai, Tadashi; Maehara, Taketoshi

doi:10.1016/j.jstrokecerebrovasdis.2017.06.057

Cited by 12 publications

(8 citation statements)

References 29 publications

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“…*P , .05 and **P , .005. uses a global fixed threshold to eliminate noise, while the oSVD uses a different threshold in every voxel according to the strength of noise and is less sensitive to the effect of CBV than cSVD. 18 Therefore, in theory, oSVD-CBF should be the best method to depict CBF in patients with Moyamoya disease who exhibit increased CBV and prominent perfusion delay, 31,32 which was the opposite of what was actually observed. We also found that when SVD methods were used, the difference between DSC-CBF% and PET-CBF% was larger in hemispheres with decreased CBF than in normal CBF hemispheres, as indicated by the significant proportional bias.…”

Section: Discussionmentioning

confidence: 92%

“…In addition to the better CBF depiction ability we showed, the MTT values from the Bayesian method are shown to be superior to those from SVD methods, 19 and the correlation between DSC-CBV and PET-CBV was not different among the DSC methods. Considering that MTT values are biomarkers of clinical presentation, 32 increased oxygen extraction fraction, 5 and surgical outcome 33,34 in patients with Moyamoya disease, Bayesian analysis would be a better choice than SVD methods to analyze DSC in these patients.…”

Section: Discussionmentioning

confidence: 99%

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Bayesian Estimation of CBF Measured by DSC-MRI in Patients with Moyamoya Disease: Comparison with ¹⁵O-Gas PET and Singular Value Decomposition

Hara

Tanaka

Hayashi

et al. 2019

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE: CBF 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 METHODS: Nineteen patients with Moyamoya disease (10 women; 22-52 years of age) were evaluated with both DSC and 15 O-gas PET within 60 days. DSC-CBF maps were created using Bayesian analysis and 3 singular value decomposition analyses (standard singular value decomposition, a block-circulant deconvolution method with a fixed noise cutoff, and a block-circulant deconvolution method that adopts an occillating noise cutoff for each voxel according to the strength of noise). Qualitative and quantitative analyses of the Bayesian-CBF and singular value decomposition-CBF methods were performed against 15 O-gas PET and compared with each other. RESULTS: In qualitative assessments of DSC-CBF maps, Bayesian-CBF maps showed better visualization of decreased CBF on PET (sensitivity ¼ 62.5%, specificity ¼ 100%, positive predictive value ¼ 100%, negative predictive value ¼ 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 (P , .03 for all except for specificity). Quantitative analysis of CBF showed that the correlation between Bayesian-CBF and PET-CBF values (r ¼ 0.46, P , .001) was similar among the 3 singular value decomposition methods, and Bayesian analysis overestimated true CBF (mean difference, 47.28 mL/min/100 g). However, the correlation between CBF values normalized to the cerebellum was better in Bayesian analysis (r ¼ 0.56, P , .001) than in the 3 singular value decomposition methods (P , .02). CONCLUSIONS: Compared 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. ABBREVIATIONS: CBF% ¼ CBF values normalized to the cerebellum; cSVD ¼ block-circulant deconvolution method with a fixed noise cutoff; oSVD ¼ block-circulant deconvolution method that adopts an oscillating noise cutoff for each voxel according to the strength of noise; SVD ¼ singular value decomposition; sSVD ¼ standard SVD

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Section: Discussionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Bayesian Estimation of CBF Measured by DSC-MRI in Patients with Moyamoya Disease: Comparison with ¹⁵O-Gas PET and Singular Value Decomposition

Hara

Tanaka

Hayashi

et al. 2019

AJNR Am J Neuroradiol

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“…MMD is a cerebrovascular disease with progressive stenosis and occlusion of the distal internal carotid artery and the proximal middle cerebral artery with massive collateral circulation. Its cerebral hemodynamics is very complex, but the correct assessment of cerebral perfusion is an important (Hirai et al, 2017). The disadvantages of DSC are traumatic examination, the need for injection of contrast, and semiquantitative measurements.…”

Section: Discussionmentioning

confidence: 99%

The value of 3D pseudo-continuousarterial spin labeling perfusion imaging in moyamoya disease—Comparison with dynamic susceptibility contrast perfusion imaging

Zhang

Liu

et al. 2022

Front. Neurosci.

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Background and purpose3D pseudo-continuous arterial spin labeling (3D pCASL) is commonly used to measure arterial cerebral blood flow (CBF). The aim of this study was to assess the clinical feasibility and accuracy of 3D pCASL in comparison with dynamic susceptibility contrast (DSC) perfusion imaging in moyamoya disease (MMD).Materials and methodsA total of 174 MMD patients underwent 3D pCASL and DSC-MRI for evaluating cerebral blood perfusion. 3D-pCASL with two single post-labeling delay (PLD) times (1,500 and 2,500 ms) was used to measure CBF. The values of DSC-CBF and ASL-CBF were calculated for major arterial territories including the anterior, middle, and posterior cerebral arteries as well as the areas based on the Alberta Stroke Program Early CT Score (ASPECTS) template. The correlation between DSC-CBF and ASL-CBF was analyzed. The consistency and accuracy between the two methods in assessing the cerebral ischemic state before and after surgery were analyzed.ResultsThe correlation between ASL (2,500 ms) and DSC-MRI was slightly better than the correlation between ASL (1,500 ms) and DSC-MRI in major vascular territories before revascularization. Significant correlations were observed between ASL (2,500 ms) and DSC-MRI and between ASL (1,500 ms) and DSC-MRI in major vascular territories after revascularization. For 44 surgically treated patients, the scores of ASPECTS for CBF on the operated side were significantly different before and after revascularization (p < 0.05) and showed good consistency on all the examination methods. A comparison of the scores of ASPECTS of the three parameters before and after revascularization showed that there was no statistical difference between them (p > 0.05).ConclusionCompared to DSC-MRI, 3D pCASL can assess the cerebral blood perfusion in MMD before and after revascularization effectively. 3D pCASL showed the feasibility and clinical utility value in patients with MMD.

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“…Hemodynamic parameters such as relative cerebral blood volume (CBV) and relative mean transit time (MTT) are measured using dynamic susceptibility contrast MRI in adult patients. In one study, the relative value of CBV and prolongation of the MTT were significantly higher in the infarction and TIA groups than in the asymptomatic group [36]. In pediatric patients with moyamoya disease, measuring blood oxygen level-dependent cerebrovascular reactivity using MRI could be predictive of ischemic events.…”

Section: Clinical Factors Associated With Ischemic Onset Moyamoya Diseasementioning

confidence: 97%

Differences in Clinical Features among Different Onset Patterns in Moyamoya Disease

Hirano

Miyawaki

Imai

et al. 2021

JCM

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Moyamoya disease is characterized by severe stenosis at the ends of the bilateral internal carotid arteries and the development of collateral circulation. The disease is very diverse in terms of age at onset, onset patterns, radiological findings, and genetic phenotypes. The pattern of onset is mainly divided into ischemic and hemorrhagic onsets. Recently, the opportunity to identify asymptomatic moyamoya disease, which sometimes manifests as nonspecific symptoms such as headache and dizziness, through screening with magnetic resonance imaging has been increasing. Various recent reports have investigated the associations between the clinical features of different onset patterns of moyamoya disease and the corresponding imaging characteristics. In this article, we have reviewed the natural history, clinical features, and imaging features of each onset pattern of moyamoya disease.

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Correlation between Clinical Presentations and Hemodynamic Parameters Measured by Dynamic Susceptibility Contrast Magnetic Resonance Imaging in Adult Patients with Moyamoya Disease

Cited by 12 publications

References 29 publications

Bayesian Estimation of CBF Measured by DSC-MRI in Patients with Moyamoya Disease: Comparison with ¹⁵O-Gas PET and Singular Value Decomposition

Bayesian Estimation of CBF Measured by DSC-MRI in Patients with Moyamoya Disease: Comparison with ¹⁵O-Gas PET and Singular Value Decomposition

The value of 3D pseudo-continuousarterial spin labeling perfusion imaging in moyamoya disease—Comparison with dynamic susceptibility contrast perfusion imaging

Differences in Clinical Features among Different Onset Patterns in Moyamoya Disease

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Correlation between Clinical Presentations and Hemodynamic Parameters Measured by Dynamic Susceptibility Contrast Magnetic Resonance Imaging in Adult Patients with Moyamoya Disease

Cited by 12 publications

References 29 publications

Bayesian Estimation of CBF Measured by DSC-MRI in Patients with Moyamoya Disease: Comparison with 15O-Gas PET and Singular Value Decomposition

Bayesian Estimation of CBF Measured by DSC-MRI in Patients with Moyamoya Disease: Comparison with 15O-Gas PET and Singular Value Decomposition

The value of 3D pseudo-continuousarterial spin labeling perfusion imaging in moyamoya disease—Comparison with dynamic susceptibility contrast perfusion imaging

Differences in Clinical Features among Different Onset Patterns in Moyamoya Disease

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Bayesian Estimation of CBF Measured by DSC-MRI in Patients with Moyamoya Disease: Comparison with ¹⁵O-Gas PET and Singular Value Decomposition

Bayesian Estimation of CBF Measured by DSC-MRI in Patients with Moyamoya Disease: Comparison with ¹⁵O-Gas PET and Singular Value Decomposition