PURPOSE A subset of skull base meningiomas (SBM) may show early progression/recurrence (P/R) as a result of incomplete resection. The purpose of this study is the implementation of MR radiomics to predict P/R in SBM. METHODS From October 2006 to December 2017, 60 patients diagnosed with pathologically confirmed SBM (WHO grade I, 56; grade II, 3; grade III, 1) were included in this study. Preoperative MRI including T2WI, diffusion-weighted imaging (DWI), and contrast-enhanced T1WI were analyzed. On each imaging modality, 13 histogram parameters and 20 textural gray level co-occurrence matrix (GLCM) features were extracted. Random forest algorithms were utilized to evaluate the importance of these parameters, and the most significant three parameters were selected to build a decision tree for prediction of P/R in SBM. Furthermore, ADC values obtained from manually placed ROI in tumor were also used to predict P/R in SBM for comparison. RESULTS Gross-total resection (Simpson Grades I-III) was performed in 33 (33/60, 55%) patients, and 27 patients received subtotal resection. Twenty-one patients had P/R (21/60, 35%) after a postoperative follow-up period of at least 12 months. The three most significant parameters included in the final radiomics model were T1 max probability, T1 cluster shade, and ADC correlation. In the radiomics model, the accuracy for prediction of P/R was 90%; by comparison, the accuracy was 83% using ADC values measured from manually placed tumor ROI. CONCLUSIONS The results show that the radiomics approach in preoperative MRI offer objective and valuable clinical information for treatment planning in SBM.

中文翻译：

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放射学方法可预测颅底脑膜瘤复发。

目的一部分颅底脑膜瘤（SBM）可能由于不完全切除而显示早期进展/复发（P / R）。这项研究的目的是实施MR放射学来预测SBM中的P / R。方法自2006年10月至2017年12月，本研究共纳入60例经病理证实的SBM（WHO I级，56级; II级，3级; III级，1级）。术前MRI包括T2WI，弥散加权成像（DWI）和对比增强的T1WI。在每种成像方式上，提取了13个直方图参数和20个纹理灰度共现矩阵（GLCM）特征。利用随机森林算法评估这些参数的重要性，并选择最重要的三个参数来构建用于预测SBM中P / R的决策树。此外，从肿瘤中手动放置的ROI获得的ADC值也可用于预测SBM中的P / R进行比较。结果33例（33/60，55％）患者进行了全切术（Simpson I-III级），其中27例接受了全切术。术后至少随访12个月，有21例患者发生P / R（21 / 60，35％）。最终放射学模型中包含的三个最重要的参数是T1最大概率，T1簇阴影和ADC相关性。在放射模型中，预测P / R的准确性为90％；相比之下，使用从手动放置的肿瘤ROI测得的ADC值，准确度为83％。结论结果表明，术前MRI中的放射学方法为SBM的治疗计划提供了客观而有价值的临床信息。