Department of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Department of Radiation Oncology, Vanderbilt University School of Medicine, Nashville, TN, USA.
J Neurooncol. 2017 Nov;135(2):403-411. doi: 10.1007/s11060-017-2588-4. Epub 2017 Aug 21.
Stereotactic radiosurgery (SRS) without whole brain radiotherapy (WBRT) for brain metastases can avoid WBRT toxicities, but with risk of subsequent distant brain failure (DBF). Sole use of number of metastases to triage patients may be an unrefined method. Data on 1354 patients treated with SRS monotherapy from 2000 to 2013 for new brain metastases was collected across eight academic centers. The cohort was divided into training and validation datasets and a prognostic model was developed for time to DBF. We then evaluated the discrimination and calibration of the model within the validation dataset, and confirmed its performance with an independent contemporary cohort. Number of metastases (≥8, HR 3.53 p = 0.0001), minimum margin dose (HR 1.07 p = 0.0033), and melanoma histology (HR 1.45, p = 0.0187) were associated with DBF. A prognostic index derived from the training dataset exhibited ability to discriminate patients' DBF risk within the validation dataset (c-index = 0.631) and Heller's explained relative risk (HERR) = 0.173 (SE = 0.048). Absolute number of metastases was evaluated for its ability to predict DBF in the derivation and validation datasets, and was inferior to the nomogram. A nomogram high-risk threshold yielding a 2.1-fold increased need for early WBRT was identified. Nomogram values also correlated to number of brain metastases at time of failure (r = 0.38, p < 0.0001). We present a multi-institutionally validated prognostic model and nomogram to predict risk of DBF and guide risk-stratification of patients who are appropriate candidates for radiosurgery versus upfront WBRT.
立体定向放射外科 (SRS) 不联合全脑放疗 (WBRT) 治疗脑转移瘤可避免 WBRT 的毒性,但存在随后发生远处脑失败 (DBF) 的风险。单纯使用转移灶的数量来对患者进行分类可能是一种不完善的方法。本研究收集了 2000 年至 2013 年期间在 8 个学术中心接受 SRS 单一疗法治疗的 1354 例新发脑转移瘤患者的数据。该队列分为训练数据集和验证数据集,并为 DBF 时间开发了一个预后模型。然后,我们在验证数据集中评估了该模型的区分度和校准度,并通过一个独立的当代队列验证了该模型的性能。转移灶数量(≥8,HR 3.53,p = 0.0001)、最小边缘剂量(HR 1.07,p = 0.0033)和黑色素瘤组织学(HR 1.45,p = 0.0187)与 DBF 相关。从训练数据集得出的预后指数在验证数据集中显示出区分患者 DBF 风险的能力(c 指数= 0.631)和 Heller 的解释相对风险(HERR)= 0.173(SE = 0.048)。在推导和验证数据集中评估了绝对转移灶数量预测 DBF 的能力,其预测能力低于列线图。确定了一个具有 2.1 倍增加早期 WBRT 需要的列线图高危阈值。列线图值也与失败时的脑转移灶数量相关(r = 0.38,p < 0.0001)。我们提出了一个多机构验证的预后模型和列线图,以预测 DBF 风险,并指导适合接受放射外科治疗与直接 WBRT 的患者进行风险分层。