Department of Radiology, Chinese PLA General Hospital, Beijing, 100853, China.
Department of Radiology, Hainan Branch of Chinese PLA General Hospital, Beijing, 100853, China.
J Headache Pain. 2017 Nov 28;18(1):112. doi: 10.1186/s10194-017-0820-4.
Imaging studies have provided valuable information in understanding the headache neuromechanism for medication-overuse headache (MOH), and the aim of this study is to investigate altered texture features of MR structural images over the whole brain in MOH using a 3-dimentional texture analysis.
Brain three-dimensional T1-weighted structural images were obtained from 44 MOH patients and 32 normal controls (NC). The imaging processing included two steps: gray matter (gray images) segment and a 3-dimensional texture features mapping. Voxel-based gray-level co-occurrence matrix (VGLCM) was performed to measure the texture parameters mapping including Contrast, Correlation, Energy, Entropy and inverse difference moment (IDM).
The texture parameters of increased Contrast and Entropy, decreased Energy and IDM were identified in cerebellar vermis of MOH patients compared to NCs. Increased Contrast and decreased Energy were found in left cerebellum. Increased Correlation located in left dorsolateral periaqueductal gray (L-dlPAG), right parahippocampal gyrus (R-PHG), and left middle frontal gyrus (L-MFG) and decreased Correlation located in right superior parietal lobule(R-SPL). Disease duration was positively correlated with Contrast of vermis and negatively correlated with Correlation of R-SPL.HAMD score was negatively correlated with Correlation of R-PHG. MoCA score was positively correlated with Correlation of R-SPL.
The altered textures in gray matter related to pain discrimination and modulation, affective and cognitive processing were helpful in understanding the pathogenesis of MOH. Texture analysis using VGLCM is a sensitive and efficient method to detect subtle gray matter changes in MOH.
影像学研究为理解药物过度使用性头痛(MOH)的头痛神经机制提供了有价值的信息,本研究旨在通过三维纹理分析研究 MOH 患者全脑磁共振结构图像的纹理特征改变。
从 44 例 MOH 患者和 32 例正常对照者(NC)中获得脑三维 T1 加权结构图像。成像处理包括两个步骤:灰质(灰度图像)分割和三维纹理特征映射。体素灰度共生矩阵(VGLCM)用于测量纹理参数映射,包括对比度、相关性、能量、熵和逆差矩(IDM)。
与 NC 相比,MOH 患者小脑蚓部的纹理参数表现为对比度增加和熵增加,能量和 IDM 降低。左小脑表现为对比度增加,能量降低。左侧背外侧导水管周围灰质(L-dlPAG)、右侧海马旁回(R-PHG)和左侧额中回(L-MFG)的相关性增加,右侧顶上小叶(R-SPL)的相关性降低。疾病持续时间与蚓部对比度呈正相关,与 R-SPL 相关性呈负相关。HAMD 评分与 R-PHG 的相关性呈负相关,MoCA 评分与 R-SPL 的相关性呈正相关。
与疼痛辨别和调节、情感和认知处理相关的灰质改变的纹理有助于理解 MOH 的发病机制。使用 VGLCM 的纹理分析是一种检测 MOH 细微灰质变化的敏感、有效的方法。