Department of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
GE Healthcare China, Beijing, People's Republic of China.
J Neurooncol. 2023 Apr;162(2):385-396. doi: 10.1007/s11060-023-04299-2. Epub 2023 Mar 29.
This study was designed to explore the feasibility of semiautomatic measurement of abnormal signal volume (ASV) in glioblastoma (GBM) patients, and the predictive value of ASV evolution for the survival prognosis after chemoradiotherapy (CRT).
This retrospective trial included 110 consecutive patients with GBM. MRI metrics, including the orthogonal diameter (OD) of the abnormal signal lesions, the pre-radiation enhancement volume (PRRCE), the volume change rate of enhancement (rCE), and fluid attenuated inversion recovery (rFLAIR) before and after CRT were analyzed. Semi-automatic measurements of ASV were done through the Slicer software.
In logistic regression analysis, age (HR = 2.185, p = 0.012), PRRCE (HR = 0.373, p < 0.001), post CE volume (HR = 4.261, p = 0.001), rCE (HR = 0.519, p = 0.046) were the significant independent predictors of short overall survival (OS) (< 15.43 months). The areas under the receiver operating characteristic curve (AUCs) for predicting short OS with rFLAIR and rCE were 0.646 and 0.771, respectively. The AUCs of Model 1 (clinical), Model 2 (clinical + conventional MRI), Model 3 (volume parameters), Model 4 (volume parameters + conventional MRI), and Model 5 (clinical + conventional MRI + volume parameters) for predicting short OS were 0.690, 0.723, 0.877, 0.879, 0.898, respectively.
Semi-automatic measurement of ASV in GBM patients is feasible. The early evolution of ASV after CRT was beneficial in improving the survival evaluation after CRT. The efficacy of rCE was better than that of rFLAIR in this evaluation.
本研究旨在探讨半自动化测量胶质母细胞瘤(GBM)患者异常信号体积(ASV)的可行性,以及 ASV 演变对放化疗(CRT)后生存预后的预测价值。
本回顾性试验纳入了 110 例连续的 GBM 患者。分析了 MRI 指标,包括异常信号病灶的正交直径(OD)、放疗前增强体积(PRRCE)、CRT 前后增强容积变化率(rCE)和液体衰减反转恢复(rFLAIR)。通过 Slicer 软件进行 ASV 的半自动测量。
在逻辑回归分析中,年龄(HR=2.185,p=0.012)、PRRCE(HR=0.373,p<0.001)、CE 后体积(HR=4.261,p=0.001)、rCE(HR=0.519,p=0.046)是总生存期(OS)较短(<15.43 个月)的显著独立预测因素。rFLAIR 和 rCE 预测短 OS 的受试者工作特征曲线(ROC)下面积(AUCs)分别为 0.646 和 0.771。预测短 OS 的模型 1(临床)、模型 2(临床+常规 MRI)、模型 3(体积参数)、模型 4(体积参数+常规 MRI)和模型 5(临床+常规 MRI+体积参数)的 AUC 分别为 0.690、0.723、0.877、0.879 和 0.898。
GBM 患者的 ASV 半自动测量是可行的。CRT 后 ASV 的早期演变有助于提高 CRT 后生存评估。rCE 在这种评估中的效果优于 rFLAIR。