Literature DB >> 16049427

Quantitative evaluation of cerebral hemodynamics in patients with moyamoya disease by dynamic susceptibility contrast magnetic resonance imaging--comparison with positron emission tomography.

Yoji Tanaka1, Tadashi Nariai, Tsukasa Nagaoka, Hideaki Akimoto, Kiichi Ishiwata, Kenji Ishii, Yoshiharu Matsushima, Kikuo Ohno.   

Abstract

We examined whether the degree of hemodynamic stress in patients with chronic occlusive cerebral vascular disease can be quantitatively evaluated with the use of perfusion-weighted magnetic resonance imaging (PWI). Thirty-six patients with moyamoya disease (mean age, 26.8 years; range, 18 to 59) underwent PWI and positron emission tomography (PET) within a month's interval. The PWI data were calculated by three different analytic methods. The cerebral blood flow (CBF) ratio, cerebral blood volume (CBV) ratio, and mean transit time (MTT) of the anterior circulation were calculated using the cerebellum as a control region and compared with PET data on the same three parameters and oxygen extraction fraction (OEF). Parametric maps of PWI attained a higher resolution than the PET maps and revealed focal perfusion failure on a gyrus-by-gyrus level. The relative CBV and MTT obtained with PWI showed significant linear correlations with the corresponding PET values (CBV, R2 = 0.47 to 0.58; MTT, R2 = 0.32 to 0.68). We also found that we could detect regions with abnormally elevated OEF and CBV based on the delay of PWI-measured MTT relative to the control region by defining a 2.0-sec delay as a threshold. The sensitivity and specificity were 92.3% and 100% in detecting regions with abnormally elevated OEF, and 20.0% and 100% in detecting regions with abnormally elevated CBV, respectively. Among the parameters obtained with PWI, our results suggested that the relative CBV value and delay of MTT might be quantitatively manipulated to assist in clinical decision-making for patients with moyamoya disease.

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Year:  2006        PMID: 16049427     DOI: 10.1038/sj.jcbfm.9600187

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  17 in total

1.  Acute Preoperative Infarcts and Poor Cerebrovascular Reserve Are Independent Risk Factors for Severe Ischemic Complications following Direct Extracranial-Intracranial Bypass for Moyamoya Disease.

Authors:  Michael U Antonucci; Terrence C Burns; T Michael Pulling; Jarrett Rosenberg; Michael P Marks; Gary K Steinberg; Greg Zaharchuk
Journal:  AJNR Am J Neuroradiol       Date:  2015-11-12       Impact factor: 3.825

Review 2.  Quantitative hemodynamic studies in moyamoya disease: a review.

Authors:  Marco Lee; Greg Zaharchuk; Raphael Guzman; Achal Achrol; Teresa Bell-Stephens; Gary K Steinberg
Journal:  Neurosurg Focus       Date:  2009-04       Impact factor: 4.047

3.  Tracking cerebral blood flow in BOLD fMRI using recursively generated regressors.

Authors:  Yunjie Tong; Blaise deB Frederick
Journal:  Hum Brain Mapp       Date:  2014-06-23       Impact factor: 5.038

4.  Changes in integrity of normal-appearing white matter in patients with moyamoya disease: a diffusion tensor imaging study.

Authors:  H Jeong; J Kim; H S Choi; E S Kim; D-S Kim; K-W Shim; S-K Lee
Journal:  AJNR Am J Neuroradiol       Date:  2011-09-15       Impact factor: 3.825

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

Authors:  S Hara; Y Tanaka; S Hayashi; M Inaji; T Maehara; M Hori; S Aoki; K Ishii; T Nariai
Journal:  AJNR Am J Neuroradiol       Date:  2019-10-10       Impact factor: 3.825

6.  Cerebellum as the normal reference for the detection of increased cerebral oxygen extraction.

Authors:  Thomas T Jiang; Tom O Videen; Robert L Grubb; William J Powers; Colin P Derdeyn
Journal:  J Cereb Blood Flow Metab       Date:  2010-04-07       Impact factor: 6.200

7.  Cerebrovascular occlusive disease: quantitative cerebral blood flow using dynamic susceptibility contrast mr imaging correlates with quantitative H2[15O] PET.

Authors:  Parmede Vakil; John J Lee; Jessy J Mouannes-Srour; Colin P Derdeyn; Timothy J Carroll
Journal:  Radiology       Date:  2013-01-07       Impact factor: 11.105

8.  "Brush Sign" on susceptibility-weighted MR imaging indicates the severity of moyamoya disease.

Authors:  N Horie; M Morikawa; A Nozaki; K Hayashi; K Suyama; I Nagata
Journal:  AJNR Am J Neuroradiol       Date:  2011-07-28       Impact factor: 3.825

9.  Chronic middle cerebral artery occlusion: a hemodynamic and metabolic study with positron-emission tomography.

Authors:  M Tanaka; E Shimosegawa; K Kajimoto; Y Kimura; H Kato; N Oku; M Hori; K Kitagawa; J Hatazawa
Journal:  AJNR Am J Neuroradiol       Date:  2008-07-24       Impact factor: 3.825

10.  Cerebral-perfusion-based single-photon emission computed tomography (SPECT) staging using NeuroGam® in patients with moyamoya disease.

Authors:  Jai-Hyuck Han; Young Seok Park; Won Hyoung Lee; Sung-Soo Koong; Kyung-Soo Min; Mou-Seop Lee; Young-Gyu Kim; Dong-Ho Kim; Kyung-Sil Yi; Sang-Hoon Cha
Journal:  Childs Nerv Syst       Date:  2015-12-11       Impact factor: 1.475

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