Furtner Julia, Berchtold Luzia, Le Rhun Emilie, Silvani Antonio, Rudà Roberta, Lombardi Giuseppe, Sepúlveda-Sánchez Juan Manuel, Brandal Petter, Bendszus Martin, Golfinopoulos Vassilis, Gorlia Thierry, Sahm Felix, Wick Wolfgang, Minniti Giuseppe, Weller Michael, König Franz, Preusser Matthias
Research Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Faculty of Medicine and Dentistry, Danube Private University, Krems, Austria.
Institute of Medical Statistics, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.
Neurooncol Adv. 2025 Jul 11;7(1):vdaf152. doi: 10.1093/noajnl/vdaf152. eCollection 2025 Jan-Dec.
Although the differential prognostic value of 1D, 2D, and volumetric meningioma size assessment has been reported, RANO meningioma criteria rely on bidimensional measurements.
In this post-hoc analysis of the EORTC-BTG 1320 trial, contrast-enhancing CNS WHO grade 2 and 3 meningiomas were assessed using 1D, 2D, and volumetric measurements. Different cutoff values for lesion size increase were compared 6 months after the start of antineoplastic treatment using Cox proportional hazards models to evaluate their association with overall survival (OS). Optimal cutoff values were identified using two criteria: maximal hazard ratio (HR) for death with statistical significance for median OS and the cutoff that maximized mean specificity and sensitivity for predicting 1-year OS.
Among 57 evaluable patients, unidimensional 5 mm and 10 mm tumor size increase yielded the maximal HRs (HR = 3.41, 95% Confidence Interval (CI) 1.56-7.45, < .01 and HR = 3.22, 95% CI 1.58-6.58, < .01, respectively) for OS. A 6 mm tumor size increase maximized mean specificity and sensitivity (HR = 2.91, 95% CI 1.43-5.93, < .01) for predicting 1-year OS. For tumor volume assessments, a 30% increase was associated with the maximal HR (HR = 3.69, 95% CI 1.64-8.31, < .01) for OS whereas a 40% increase maximized the mean specificity and sensitivity (HR = 3.66, 95% CI 1.75-7.654, < .01). Bidimensional measurements showed no significant OS association.
Unidimensional tumor measurements and tumor volume assessments show a stronger association with overall survival than bidimensional measurements in recurrent non-benign meningiomas. Integration of these methods into response assessment criteria for meningiomas should be considered.
尽管已有报道称1D、2D和体积性脑膜瘤大小评估具有不同的预后价值,但RANO脑膜瘤标准依赖于二维测量。
在对EORTC-BTG 1320试验的这项事后分析中,使用1D、2D和体积测量方法对中枢神经系统WHO 2级和3级强化脑膜瘤进行评估。在抗肿瘤治疗开始6个月后,使用Cox比例风险模型比较病变大小增加的不同临界值,以评估它们与总生存期(OS)的关联。使用两个标准确定最佳临界值:具有统计学意义的中位OS死亡的最大风险比(HR),以及预测1年OS时使平均特异性和敏感性最大化的临界值。
在57例可评估患者中,一维肿瘤大小增加5 mm和10 mm产生了最大的OS风险比(HR分别为3.41,95%置信区间(CI)1.56 - 7.45,P <.01和HR = 3.22,95% CI 1.58 - 6.58,P <.01)。肿瘤大小增加6 mm在预测1年OS时使平均特异性和敏感性最大化(HR = 2.91,95% CI 1.43 - 5.93,P <.01)。对于肿瘤体积评估,增加30%与最大的OS风险比相关(HR = 3.69,95% CI 1.64 - 8.31,P <.01),而增加40%使平均特异性和敏感性最大化(HR = 3.66,95% CI 1.75 - 7.654,P <.01)。二维测量未显示出与OS有显著关联。
在复发性非良性脑膜瘤中,一维肿瘤测量和肿瘤体积评估与总生存期的关联比二维测量更强。应考虑将这些方法纳入脑膜瘤反应评估标准。