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原发性痛经患者灰质体积改变与临床指标的相关性:基于体素形态学测量技术

Correlation between gray matter volume changes and clinical indicators in patients with primary dysmenorrhea based on voxel-based
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摘要 目的基于体素形态学测量技术探究原发性痛经患者脑灰质体积改变及其与临床量表评分间的相关性。方法收集符合纳入标准的41例原发性痛经患者和41例健康对照者在月经来潮的第1~3天内进行高分辨率T1结构像扫描,并且填写痛经程度量表、COX痛经症状量表、焦虑自评量表、抑郁自评量表。采用SPM8软件在全脑水平比较灰质体积,观察两组灰质体积显著变化的脑区。结果原发性痛经患者较健康对照脑灰质体积缩小,差异脑区主要包括:左侧眶部额中回、左侧前扣带回、右侧前扣带回(P<0.001),未发现灰质体积明显增加的脑区。痛经组和健康组在痛经程度量表、COX痛经症状量表、焦虑自评量表、抑郁自评量表评分的差异有统计学意义(P<0.001)。左侧前扣带回与痛经程度量表、COX痛经症状量表、焦虑自评量表、抑郁自评量表评分存在负相关关系。结论基于体素形态学测量技术可以准确评估原发性痛经患者脑灰质微结构改变,这些灰质体积缩小的脑区主要涉及疼痛传递、处理及情绪调节相关的脑区,其灰质体积的变化在原发性痛经疼痛的发生及持续中可能有着重要作用。 Objective To investigate voxel-based morphometry in primary dysmenorrhea patients with altered brain gray matter volume and the correlation between it and clinical scale scores.Methods Forty-one patients with primary dysmenorrhea and 41 healthy controls who met the inclusion criteria were collected to undergo high-resolution T1 structural imaging scans during days 1-3 of menstruation They completed the dysmenorrhea severity scale,the COX dysmenorrhea symptom scale,the anxiety self-assessment scale and the depression self-assessment scale.The SPM8 software was used to compare gray matter volumes at the whole brain level.We observed the brain areas with significant changes in gray matter volumes in both groups.Results The gray matter volume of the patients with primary dysmenorrhea was reduced compared with that of the healthy control group.The differences mainly included the left orbital middle frontal gyrus,left anterior cingulate gyrus and right anterior cingulate gyrus(P<0.001),but no brain regions with a significant increase in gray matter volume were found.There were significant differences in dysmenorrhea severity scale,the COX dysmenorrhea symptom scale,the anxiety self-assessment scale and the depression self-assessment scale scores between the dysmenorrhea group and the healthy group(P<0.001).Moreover,the left anterior cingulate gyrus was negatively correlated with the scores of dysmenorrhea severity scale,the COX dysmenorrhea symptom scale,the anxiety self-assessment scale and the depression selfassessment scale.Conclusion Based on voxel-based morphometry analysis,we can accurately assess the gray matter microstructural changes in the brain of patients with primary dysmenorrhea,and these brain regions with reduced gray matter volume are mainly involved in brain regions related to pain transmission,processing and emotion regulation.The changes in gray matter volume may play an important role in the occurrence and persistence of primary dysmenorrhea.
作者 张聪 马萧童 樊丽华 钟晖 刘耔宜 郑运松 ZHANG Cong;MA Xiaotong;FAN Lihua;ZHONG Hui;LIU Ziyi;ZHENG Yunsong(School of Medical Technology,Shaanxi University of Traditional Chinese Medicine,Xianyang 712046,China;Department of Medical Imaging,Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine,Xianyang 712000,China)
出处 《分子影像学杂志》 2023年第1期53-57,共5页 Journal of Molecular Imaging
基金 咸阳市脑功能磁共振成像技术临床研究创新团队支持项目 2021年度北京中医药大学孙思邈研究院中医药科研项目(SSMYJY-2-2021-16) 陕西中医药大学校级科研课题研究生创新项目(2021CX20) 陕西中医药大学大学生创新创业训练计划国家级项目(202110716013)。
关键词 原发性痛经 体素形态学测量技术 灰质体积 primary dysmenorrhea voxel-based morphometry volume of gray matter
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