Literature DB >> 16038429

[Analysis of brain images in patients with spinocerebellar degeneration; using statistical parametric mapping (SPM) and easy Z score imaging system (eZIS)].

Hirofumi Watanabe1, Hiroshi Sugihara, Masahiro Horiuchi, Yoichi Takahashi.   

Abstract

In order to investigate the cerebral blood flow objectively, the easy Z score imaging system (eZIS), was developed, and has been applied in clinical practice. SPECT with 99mTc-ethyl cysteinate dimer (99mTc-ECD) was performed, and the images were analyzed using the SPM97 and the eZIS Ver. 2 to investigate cerebral blood flow in patients with two types of spino-cerebellar degeneration. We compared the distribution of cerebral blood flow between 13 patients with cortical cerebellar atrophy (CCA) and 26 patients with olivopontocerebellar atrophy (OPCA). In the both groups, cerebellar blood flow was decreased generally. In our evaluation using the eZIS Z score, the scores for the brain stem and cerebellar nucleus in the OPCA group were lower than those in the CCA group. This method facilitates the objective evaluation of cerebral blood flow in patients with spinocerebellar degeneration, and may be useful for analyzing the condition of these disease.

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Year:  2005        PMID: 16038429

Source DB:  PubMed          Journal:  Kaku Igaku        ISSN: 0022-7854


  3 in total

Review 1.  Stereotactic statistical imaging analysis of the brain using the easy Z-score imaging system for sharing a normal database.

Authors:  Sunao Mizumura; Shin-ichiro Kumita
Journal:  Radiat Med       Date:  2006-08

2.  The value of eZIS analysis of Tc-99m ECD SPECT on identifying cerebellar hypoperfusion in a patient with superficial siderosis: A case report.

Authors:  Cheng-Yu Wei; Tai-Yi Chen; Ian Shih; Pai-Yi Chiu; Guang-Uei Hung; Hiroshi Matsuda
Journal:  Medicine (Baltimore)       Date:  2016-11       Impact factor: 1.889

3.  Altered cerebral blood flow in patients with spinocerebellar degeneration.

Authors:  Bing Liu; Aocai Yang; Wenwen Gao; Yue Chen; Yige Wang; Xiuxiu Liu; Kuan Lv; Linwei Zhang; Guolin Ma
Journal:  Front Neurosci       Date:  2022-09-13       Impact factor: 5.152

  3 in total

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