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MR扩散张量成像在脑梗死中的初步应用报告
引用本文:谭湘萍,梁碧玲,黄穗乔,赵继泉,陈建宇,钟镜联,叶瑞心,沈君.MR扩散张量成像在脑梗死中的初步应用报告[J].中国神经精神疾病杂志,2005,31(3):176-179.
作者姓名:谭湘萍  梁碧玲  黄穗乔  赵继泉  陈建宇  钟镜联  叶瑞心  沈君
作者单位:中山大学附属二院放射科,广州,510120
基金项目:广东省卫生厅基金资助项目(编号:A200207)
摘    要:目的用扩散张量MR成像(DTI)分析脑梗死不同时期的扩散张量改变,探讨DTI在脑梗死诊断中的应用价值。方法分析38例不同病期的脑梗死病人的DTI图像。结果急性期(7例)的各向同性表观扩散系数(ADCiso)图表现为低信号,各向异性指数图表现为高信号;亚急性期(18例)病变区的ADCiso图为低、等信号;各向异性指数图为混杂或低信号;慢性期(13例)病变区的ADCiso图为高信号,各向异性指数图为低信号。结论ADCiso图和各向异性指数图相结合,有可能更精确地对脑梗死进行分期,为临床提供一种新的影像学诊断方法。

关 键 词:脑梗死  分期  扩散张量  MR成像
修稿时间:2004年5月16日

Preliminary report of diffusion tensor imaging applied in the diagnosis of cerebral infarction
TAN Xiang-ping,LIANG Bi-Ling,HUANG Sui-Qiao,ZHAO Ji-quan,CHEN Jian-Yu,ZHONG Jing-lian,YE Rui-xin,SHEN Jun.Preliminary report of diffusion tensor imaging applied in the diagnosis of cerebral infarction[J].Chinese Journal of Nervous and Mental Diseases,2005,31(3):176-179.
Authors:TAN Xiang-ping  LIANG Bi-Ling  HUANG Sui-Qiao  ZHAO Ji-quan  CHEN Jian-Yu  ZHONG Jing-lian  YE Rui-xin  SHEN Jun
Institution:TAN Xiang-ping,LIANG Bi-ling,HUANG Sui-qiao,ZHAO Ji-quan,CHEN Jian-yu,ZHONG Jing-lian,YE Rui-xin,SHEN Jun. Radiology Department of Sun Yet-sen Memorial Hospital. 107 Yanjiang west Road. Guangzhou. 510120.
Abstract:Objective To determine the manifestation of cerebral infarction in different stages on diffusion tensor imaging. Methods 38 patients with cerebral infarctions(7 acute, 18 subacute, 13 chronic) were analyzed by diffusion tensor imaging(DTI). Results Acute cerebral infarcts were shown hypo-signal intensity on ADC_ isoand hyper-intensity was shown anisotropic maps; subacute cerebral infarcts were shown hypo-intensity or uniform-intensity on ADC_ isoand mixed-intensity or hypo-intensity was shown anisotropic maps; chronic cerebral infarcts were shown hyper-intensity on ADC_ isoand hypo-intensity was shown anisotropic maps. Conclusions The combination of ADC_ isoand anisotropic maps may stage accurately and provide a new diagnostic method for clinical application.
Keywords:Cerebral infarctions  Stage  Diffusion tensor  MR imaging
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