Yang Jia, Zhang Xiaowei, Gao Xinya, Wu Honglin, Li Xixi, Yang Lixuan, Zhang Nu
Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Neurosurgery. 2023 Jun 1;92(6):1234-1242. doi: 10.1227/neu.0000000000002356. Epub 2023 Feb 6.
Glioblastoma (GBM) preferred to infiltrate into white matter (WM) beyond the recognizable tumor margin.
To investigate whether fiber density (FD) and structural brain connectome can provide meaningful information about WM destruction and glioma cell infiltration.
GBM cases were collected based on inclusion criteria, and baseline information and preoperative MRI results were obtained. GBM lesions were automatically segmented into necrosis, contrast-enhanced tumor, and edema areas. We obtained the FD map to compute the FD and lnFD values in each subarea and reconstructed the structural brain connectome to obtain the topological metrics in each subarea. We also divided the edema area into a nonenhanced tumor (NET) area and a normal WM area based on the contralesional lnFD value in the edema area, and computed the NET ratio.
Twenty-five GBM cases were included in this retrospective study. The FD/lnFD value and topological metrics (aCp, aLp, aEg, aEloc, and ar) were significantly correlated with GBM subareas, which represented the extent of WM destruction and glioma cell infiltration. The FD/lnFD values and topological parameters were correlated with the NET ratio. In particular, the lnFD value in the edema area was correlated with the NET ratio (coefficient, 0.92). Therefore, a larger lnFD value indicates more severe glioma infiltration in the edema area and suggests an extended resection for better clinical outcomes.
The FD and structural brain connectome in this study provide a new insight into glioma infiltration and a different consideration of their clinical application in neuro-oncology.
胶质母细胞瘤(GBM)倾向于浸润到可识别肿瘤边缘以外的白质(WM)中。
探讨纤维密度(FD)和脑结构连接组是否能提供有关白质破坏和胶质瘤细胞浸润的有意义信息。
根据纳入标准收集GBM病例,并获取基线信息和术前MRI结果。将GBM病变自动分割为坏死、强化肿瘤和水肿区域。我们获取FD图以计算每个子区域的FD和lnFD值,并重建脑结构连接组以获得每个子区域的拓扑指标。我们还根据水肿区域对侧的lnFD值将水肿区域分为无强化肿瘤(NET)区域和正常白质区域,并计算NET比率。
本回顾性研究纳入了25例GBM病例。FD/lnFD值和拓扑指标(aCp、aLp、aEg、aEloc和ar)与GBM子区域显著相关,这些子区域代表了白质破坏和胶质瘤细胞浸润的程度。FD/lnFD值和拓扑参数与NET比率相关。特别是,水肿区域的lnFD值与NET比率相关(系数为0.92)。因此,较大的lnFD值表明水肿区域胶质瘤浸润更严重,并提示扩大切除以获得更好的临床结果。
本研究中的FD和脑结构连接组为胶质瘤浸润提供了新的见解,并对其在神经肿瘤学中的临床应用提供了不同的思考。