Department of Radiology and Research Institute of Radiological Science, College of Medicine, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
Department of Biostatistics and Computing, College of Medicine, Yonsei University, Seoul, South Korea.
Eur Radiol. 2020 Jun;30(6):3035-3045. doi: 10.1007/s00330-020-06683-2. Epub 2020 Feb 14.
To identify significant prognostic magnetic resonance imaging (MRI) features and their prognostic value when added to clinical features in patients with isocitrate dehydrogenase wild-type (IDHwt) lower-grade gliomas.
Preoperative MR images of 158 patients (discovery set = 112, external validation set = 46) with IDHwt lower-grade gliomas (WHO grade II or III) were retrospectively analyzed using the Visually Accessible Rembrandt Images feature set. Radiologic risk scores (RRSs) for overall survival were derived from the least absolute shrinkage and selection operator and elastic net. Multivariable Cox regression analysis, including age, Karnofsky Performance score, extent of resection, WHO grade, and RRS, was performed. The added prognostic value of RRS was calculated by comparing the integrated area under the receiver operating characteristic curve (iAUC) between models with and without RRS.
The presence of cysts, pial invasion, and cortical involvement were favorable prognostic factors, while ependymal extension, multifocal or multicentric distribution, nonlobar location, proportion of necrosis > 33%, satellites, and eloquent cortex involvement were significantly associated with worse prognosis. RRS independently predicted survival and significantly enhanced model performance for survival prediction when integrated to clinical features (iAUC increased to 0.773-0.777 from 0.737), which was successfully validated on the validation set (iAUC increased to 0.805-0.830 from 0.735).
MRI features associated with prognosis in patients with IDHwt lower-grade gliomas were identified. RRSs derived from MRI features independently predicted survival and significantly improved performance of survival prediction models when integrated into clinical features.
• Comprehensive analysis of MRI features conveys prognostic information in patients with isocitrate dehydrogenase wild-type lower-grade gliomas. • Presence of cysts, pial invasion, and cortical involvement of the tumor were favorable prognostic factors. • Radiological phenotypes derived from MRI independently predict survival and have the potential to improve survival prediction when added to clinical features.
在 IDHwt 低级别胶质瘤患者中,确定有显著预后意义的磁共振成像(MRI)特征及其附加临床特征的预后价值。
回顾性分析了 158 例 IDHwt 低级别胶质瘤(WHO 分级 II 或 III 级)患者的术前 MRI 图像(发现集 112 例,外部验证集 46 例),使用 Visually Accessible Rembrandt Images 特征集。采用最小绝对收缩和选择算子及弹性网络方法得出总生存期的放射学风险评分(RRS)。采用多变量 Cox 回归分析,包括年龄、卡氏功能状态评分、切除程度、WHO 分级和 RRS。通过比较有无 RRS 的模型的受试者工作特征曲线下面积的综合(iAUC),计算 RRS 的附加预后价值。
存在囊肿、软脑膜侵犯和皮质侵犯是有利的预后因素,而室管膜延伸、多灶或多中心分布、非叶状位置、坏死比例>33%、卫星灶和语言皮层侵犯与预后不良显著相关。RRS 独立预测生存,与临床特征相结合显著提高了生存预测模型的性能(iAUC 从 0.737 增加至 0.773-0.777),在验证集上得到了成功验证(iAUC 从 0.735 增加至 0.805-0.830)。
确定了 IDHwt 低级别胶质瘤患者与预后相关的 MRI 特征。基于 MRI 特征的 RRS 独立预测生存,与临床特征相结合时可显著提高生存预测模型的性能。