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Prediction of new brain metastases after radiosurgery: validation and analysis of performance of a multi-institutional nomogram

机译:放射外科手术后新的脑转移的预测:多机构列线图性能的验证和分析

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摘要

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.
机译:没有针对脑转移的全脑放射治疗(WBRT)的立体定向放射外科手术(SRS)可以避免WBRT毒性,但有随后发生远距性脑衰竭(DBF)的风险。仅将多种转移物用于分流患者可能是一种未改进的方法。在2000年至2013年间,从八个学术中心收集了1354例接受SRS单药治疗的新脑转移患者的数据。将该队列分为训练和验证数据集,并为DBF开发了一个预后模型。然后,我们在验证数据集中评估了模型的判别和校准,并与一个独立的当代研究队列一起确认了模型的性能。转移数目(≥8,HR 3.53 p = 0.0001),最小切缘剂量(HR 1.07 p = 0.0033)和黑色素瘤组织学(HR 1.45,p = 0.0187)与DBF相关。来自训练数据集的预后指标显示出能够在验证数据集中区分患者的DBF风险(c-index = 0.631),而Heller的解释相对风险(HERR)= 0.173(SE = 0.048)。评估了转移的绝对数量在衍生和验证数据集中预测DBF的能力,其次于列线图。鉴定出诺模图高风险阈值对早期WBRT的需求增加了2.1倍。线型图值也与衰竭时脑转移的数量相关(r = 0.38,p <0.0001)。我们提出了一种多机构验证的预后模型和列线图,以预测DBF的风险,并指导适合放射外科手术与前期WBRT的患者的风险分层。

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