黄明明,蒲伟,李旭红,焦玲,余晖.1H-MRS检测帕金森病伴轻度认知障碍患者后扣带回代谢物[J].中国医学影像技术,2018,34(3):326~330
1H-MRS检测帕金森病伴轻度认知障碍患者后扣带回代谢物
1H-MRS detection of metabolites in posterior cingulate gyrus of Parkinson disease with cognitive impairment patients
投稿时间:2017-06-16  修订日期:2017-11-23
DOI:10.13929/j.1003-3289.201706094
中文关键词:  磁共振波谱  帕金森病  后扣带回  线性拟合模型
英文关键词:Magnetic resonance spectroscopy  Parkinson disease  Posterior cingulate gyrus  Linear combination model
基金项目:国家自然科学基金(8156070059)、贵州省科技计划课题(黔科合LG字[2012]024,TN2014-51)、贵州省普通高等学校工程研究中心建设任务(黔教合KY字[2016]012)。
作者单位E-mail
黄明明 贵州医科大学附属医院影像科, 贵州 贵阳 550004  
蒲伟 贵州医科大学附属医院影像科, 贵州 贵阳 550004
贵州省人民医院影像科, 贵州 贵阳 550002 
 
李旭红 贵州医科大学附属医院神经内科, 贵州 贵阳 550004  
焦玲 贵州医科大学附属医院神经内科, 贵州 贵阳 550004  
余晖 贵州医科大学附属医院影像科, 贵州 贵阳 550004 331693861@qq.com 
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中文摘要:
      目的 探讨1H-MRS波谱技术联合线性拟合模型(LCmodel)软件在帕金森病(PD)伴认知障碍中的诊断价值。方法 选取PD患者35例(PD组)和健康体检者22名(对照组),并根据是否伴有认知功能障碍,将PD组分为PDN亚组和PDMCI亚组。采用1H-MRS波谱技术联合LCmodel软件获取PD组与对照组后扣带回(PCG)区域的波谱及代谢物的绝对浓度。比较2组各代谢物绝对浓度,并分析各代谢物绝对浓度与认知功能评分的相关性。结果 PDN亚组各代谢物绝对浓度与对照组差异均无统计学意义(P均>0.05),PDMCI亚组总肌酸(tCr)、N-乙酰天门冬氨酸(NAA)、肌醇(mI)和胆碱复合物(tCho)的绝对浓度均较对照组降低(P均<0.05);PDMCI亚组tCr绝对浓度较PDN亚组降低(P<0.05)。tCr(r=0.444,P=0.01)、谷胱甘肽(GSH;r=0.393,P=0.024)绝对浓度与MMSE评分存在相关性;tCr(r=0.367,P=0.035)、GSH(r=0.376,P=0.031)及tCho(r=0.375,P=0.031)绝对浓度与MoCA评分存在相关性。结论 1H-MRS技术联合LCmodel软件可定量分析PCG区域代谢物变化,有助于评估PD伴认知障碍。
英文摘要:
      Objective To investigate the value of 1H-MRS technology combined with linear combination model (LCmodel) software in diagnosis of Parkinson disease (PD) cognitive impairment. Methods Thirty-five PD patients (PD group) and 22 matched healthy subjects (control group) were collected. Patients in PD group were divided into PDN and PDMCI subgroups according to whether having cognitive impairment or not. The concentration of metabolites of posterior cingulate gyrus (PCG)was applied with 1H-MRS technology combined with LCmodel software. The differences of metabolites were compared between the two groups, and the correlations between metabolites level and cognitive status were analyzed. Results The absolute concentrations of metabolites in PDN subgroup were not significantly different from those in control group (all P>0.05). The absolute concentrations of total creatine (tCr), N-acetyl aspartate (NAA), myo-inositol (mI) and glycerophosphocholine+phosphocholine (tCho) in PDMCI subgroup were lower than those in control group (all P<0.05). The absolute concentration of tCr in PDMCI subgroup was lower than that in PDN subgroup (P<0.05). There was positive correlation among the absolute concentration of tCr (r=0.444, P=0.01), glutathione (GSH; r=0.393, P=0.024) and MMSE scores, as well as among the absolute concentration of tCr (r=0.367, P=0.035), GSH (r=0.376, P=0.031), tCho (r=0.375, P=0.031) and MoCA scores. Conclusion 1H-MRS technology combined with LCmodel software can quantitatively analyze the changes of metabolites in PCG, therefore being helpful to evaluating PD cognitive impairment.
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