Ji Li-Jun, Hu Jin-Yu, Zeng Yan-Mei, Ling Qian, Zou Jie, Chen Cheng, He Liang-Qi, Wang Xiao-Yu, Wei Hong, Chen Xu, Wang Yi-Xin, Shao Yi, Yu Yao
Department of Ophthalmology, Dahua Hospital, Shanghai 200237, China.
Department of Endocrine and Metabolic, the First Affiliated Hospital of Nanchang University, Jiangxi Clinical Research Centre for Endocrine and Metabolic Disease, Jiangxi Branch of National Clinical Research Center for metabolic Disease, Nanchang 330006, Jiangxi Province, China.
Int J Ophthalmol. 2025 Feb 18;18(2):258-267. doi: 10.18240/ijo.2025.02.09. eCollection 2025.
To elucidate the neuropathological mechanisms underlying diabetic vitreous hemorrhage (DVH) and its correlation with clinical characteristics.
Twenty-one individuals with DVH (male/female 12/9; mean age 52.29±11.66y) were selected, alongside 21 appropriately matched controls with diabetes mellitus (DM). Voxel-based morphometry (VBM) techniques were employed to identify aberrant functional regions in the brain. Receiver operating characteristic (ROC) curves were utilized for classification based on the average VBM values of the two groups, and Pearson correlation analysis was conducted to assess the relationship between average VBM values in distinct brain regions and clinical manifestations.
Relative to the DM controls, DVH patients exhibited reduced VBM values in the right superior temporal pole, the right superior temporal gyrus, the right medial orbital frontal gyrus, and the left superior frontal gyrus. Furthermore, ROC curve analysis of these four brain regions in DVH patients demonstrated a high degree of accuracy, as indicated by the area under the curve. The average VBM value in each of these regions exhibited a negative correlation with both the duration of DVH and the score on the Hospital Anxiety and Depression Scale (HADS).
Pathological alterations in four distinct brain regions are observed in patients with DVH, potentially reflecting neuropathological changes associated with this condition.
阐明糖尿病性玻璃体出血（DVH）的神经病理机制及其与临床特征的相关性。
选取21例DVH患者（男/女12/9；平均年龄52.29±11.66岁），以及21例年龄匹配的糖尿病（DM）对照者。采用基于体素的形态学测量（VBM）技术识别大脑中的异常功能区域。基于两组的平均VBM值，利用受试者工作特征（ROC）曲线进行分类，并进行Pearson相关分析，以评估不同脑区的平均VBM值与临床表现之间的关系。
相对于DM对照者，DVH患者在右侧颞上极、右侧颞上回、右侧眶内侧额回和左侧额上回的VBM值降低。此外，对DVH患者这四个脑区的ROC曲线分析显示，曲线下面积表明具有高度准确性。这些区域中每个区域的平均VBM值与DVH持续时间和医院焦虑抑郁量表（HADS）评分均呈负相关。
DVH患者在四个不同脑区观察到病理改变，可能反映了与该疾病相关的神经病理变化。
