National University of Singapore, Singapore.
National Neuroscience Institute, Singapore.
Surg Oncol. 2019 Jun;29:178-183. doi: 10.1016/j.suronc.2019.05.005. Epub 2019 May 17.
Glioblastoma multiforme (GBM) is a rapidly growing tumor associated with poor prognosis. This study evaluates the effectiveness of thirteen tumor shape features for overall survival (OS) prognosis in GBM patients. Shape features were extracted from the abnormality regions of the GBM tumor visible on the fluid attenuated inversion recovery (FLAIR) and T1-weighted contrast enhanced (T1CE) MR images of GBM patients. Survival analysis was performed using univariate and multivariate (with clinical features) Cox proportional hazards regression analysis. Kaplan-Meier survival curves were plotted and observed for the shape features which were found to be significant from the Cox regression analysis. Three 3D shape features: Bounding ellipsoid volume ratio (BEVR), sphericity and spherical disproportion, computed from both the abnormality regions were found to be significant for OS prognosis in GBM patients.
多形性胶质母细胞瘤（GBM）是一种生长迅速的肿瘤，预后不良。本研究评估了 13 种肿瘤形状特征在 GBM 患者总体生存（OS）预后中的有效性。从 GBM 患者的液体衰减反转恢复（FLAIR）和 T1 加权对比增强（T1CE）磁共振图像上可见的 GBM 肿瘤异常区域提取形状特征。使用单变量和多变量（伴有临床特征）Cox 比例风险回归分析进行生存分析。对 Cox 回归分析中发现具有统计学意义的形状特征绘制 Kaplan-Meier 生存曲线并进行观察。从异常区域计算得到的三个 3D 形状特征：边界椭球体积比（BEVR）、球形度和球形度不匀，对 GBM 患者的 OS 预后具有显著意义。
