Literature DB >> 10429688

Moyamoya disease: evaluation with diffusion-weighted and perfusion echo-planar MR imaging.

I Yamada1, Y Himeno, T Nagaoka, H Akimoto, Y Matsushima, T Kuroiwa, H Shibuya.   

Abstract

PURPOSE: To determine the clinical efficacy of diffusion-weighted and perfusion echo-planar magnetic resonance (MR) imaging in the evaluation of moyamoya disease.
MATERIALS AND METHODS: Seventeen patients with moyamoya disease were examined prospectively with diffusion-weighted and perfusion echo-planar MR imaging and conventional angiography. The change in the effective transverse relaxation rate (delta R2*) peak value, delta R2* peak time, and delta R2* integral were calculated to assess regional cerebral perfusion. The MR images were compared with angiographic images.
RESULTS: Of the 34 posterior cerebral arteries (PCAs) of the 17 patients, 14 PCAs (41%) in 11 patients showed stenosis or occlusion. The delta R2* peak value ratio in the cerebral hemispheres decreased significantly, and the delta R2* peak time ratio increased significantly, with PCA stenosis and occlusion. However, no correlation was apparent between perfusion and extent of the stenotic or occlusive lesions of the internal carotid artery bifurcation. The frequency of cerebral infarctions was significantly increased in patients with stenotic or occlusive PCA lesions. For three acute infarctions, a decrease in the apparent diffusion coefficient was significantly correlated with a decrease in the delta R2* peak value, an increase in the delta R2* peak time, and a decrease in the delta R2* integral.
CONCLUSION: Regional cerebral perfusion in moyamoya disease is decreased and delayed with PCA stenosis, with greater decrease and delay with PCA occlusion. Diffusion-weighted and perfusion imaging are useful for evaluating cerebral ischemia in moyamoya disease.

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Year:  1999        PMID: 10429688     DOI: 10.1148/radiology.212.2.r99au08340

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  8 in total

1.  Cerebral hemodynamics in Moyamoya disease: correlation between perfusion-weighted MR imaging and cerebral angiography.

Authors:  O Togao; F Mihara; T Yoshiura; A Tanaka; T Noguchi; Y Kuwabara; K Kaneko; T Matsushima; H Honda
Journal:  AJNR Am J Neuroradiol       Date:  2006-02       Impact factor: 3.825

2.  4D ASL-based MR angiography for visualization of distal arteries and leptomeningeal collateral vessels in moyamoya disease: a comparison of techniques.

Authors:  Osamu Togao; Akio Hiwatashi; Makoto Obara; Koji Yamashita; Daichi Momosaka; Ataru Nishimura; Koichi Arimura; Nobuhiro Hata; Koji Yoshimoto; Koji Iihara; Marc Van Cauteren; Hiroshi Honda
Journal:  Eur Radiol       Date:  2018-05-08       Impact factor: 5.315

3.  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

4.  Blind source separation of hemodynamics from magnetic resonance perfusion brain images using independent factor analysis.

Authors:  Yen-Chun Chou; Chia-Feng Lu; Wan-Yuo Guo; Yu-Te Wu
Journal:  Int J Biomed Imaging       Date:  2010-04-21

5.  Neoangiogenesis in association with moyamoya syndrome shown by estimation of relative recirculation based on dynamic contrast-enhanced MR images.

Authors:  Andrea Kassner; Xiao-Ping Zhu; Kah-Lo Li; Alan Jackson
Journal:  AJNR Am J Neuroradiol       Date:  2003-05       Impact factor: 3.825

6.  Postoperative evaluation of moyamoya disease with perfusion-weighted MR imaging: initial experience.

Authors:  Seung-Koo Lee; Dong Ik Kim; Eun-Kee Jeong; Si-Yeon Kim; Sang Heum Kim; Yon Kwon In; Dong-Seok Kim; Joong-Uhn Choi
Journal:  AJNR Am J Neuroradiol       Date:  2003-04       Impact factor: 3.825

7.  Quantitative cerebrovascular reserve measured by acetazolamide-challenged dynamic CT perfusion in ischemic adult Moyamoya disease: initial experience with angiographic correlation.

Authors:  K H Kang; H S Kim; S Y Kim
Journal:  AJNR Am J Neuroradiol       Date:  2008-05-22       Impact factor: 3.825

8.  Pediatric Moyamoya disease.

Authors:  Mohamed Nagiub; Iqbal Allarakhia
Journal:  Am J Case Rep       Date:  2013-05-03
  8 in total

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