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累积颅内肿瘤体积相对于最大颅内肿瘤体积对立体定向放射外科治疗脑转移瘤患者具有更好的预后价值。

Superior Prognostic Value of Cumulative Intracranial Tumor Volume Relative to Largest Intracranial Tumor Volume for Stereotactic Radiosurgery-Treated Brain Metastasis Patients.

机构信息

Department of Neurosurgery, Center for Translational and Applied Neuro-Oncology, University of California, San Diego, La Jolla, California.

Clinical and Translational Research Institute, University of California San Diego, San Diego, California.

出版信息

Neurosurgery. 2018 Apr 1;82(4):473-480. doi: 10.1093/neuros/nyx225.

Abstract

BACKGROUND

Two intracranial tumor volume variables have been shown to prognosticate survival of stereotactic-radiosurgery-treated brain metastasis patients: the largest intracranial tumor volume (LITV) and the cumulative intracranial tumor volume (CITV).

OBJECTIVE

To determine whether the prognostic value of the Scored Index for Radiosurgery (SIR) model can be improved by replacing one of its components-LITV-with CITV.

METHODS

We compared LITV and CITV in terms of their survival prognostication using a series of multivariable models that included known components of the SIR: age, Karnofsky Performance Score, status of extracranial disease, and the number of brain metastases. Models were compared using established statistical measures, including the net reclassification improvement (NRI > 0) and integrated discrimination improvement (IDI). The analysis was performed in 2 independent cohorts, each consisting of ∼3000 patients.

RESULTS

In both cohorts, CITV was shown to be independently predictive of patient survival. Replacement of LITV with CITV in the SIR model improved the model's ability to predict 1-yr survival. In the first cohort, the CITV model showed an NRI > 0 improvement of 0.2574 (95% confidence interval [CI] 0.1890-0.3257) and IDI of 0.0088 (95% CI 0.0057-0.0119) relative to the LITV model. In the second cohort, the CITV model showed a NRI > 0 of 0.2604 (95% CI 0.1796-0.3411) and IDI of 0.0051 (95% CI 0.0029-0.0073) relative to the LITV model.

CONCLUSION

After accounting for covariates within the SIR model, CITV offers superior prognostic value relative to LITV for stereotactic radiosurgery-treated brain metastasis patients.

摘要

背景

已有两项颅内肿瘤体积变量被证明可预测立体定向放射外科治疗脑转移瘤患者的生存情况:最大颅内肿瘤体积(LITV)和累积颅内肿瘤体积(CITV)。

目的

确定 Scored Index for Radiosurgery(SIR)模型的预后价值是否可以通过用 CITV 替代其组件之一的 LITV 来提高。

方法

我们比较了 LITV 和 CITV 在一系列多变量模型中在生存预测方面的表现,这些模型包括 SIR 的已知成分:年龄、卡诺夫斯基表现评分、颅外疾病状态和脑转移瘤数量。使用既定的统计措施(包括净重新分类改善(NRI>0)和综合鉴别改善(IDI))比较了模型。该分析在两个独立的队列中进行,每个队列包含约 3000 名患者。

结果

在两个队列中,CITV 均被证明是独立预测患者生存的因素。在 SIR 模型中用 CITV 替代 LITV 可提高模型预测 1 年生存率的能力。在第一个队列中,CITV 模型显示 NRI>0 的改善为 0.2574(95%置信区间[CI]为 0.1890-0.3257),IDI 为 0.0088(95%CI 为 0.0057-0.0119),与 LITV 模型相比。在第二个队列中,CITV 模型显示 NRI>0 为 0.2604(95%CI 为 0.1796-0.3411),IDI 为 0.0051(95%CI 为 0.0029-0.0073),与 LITV 模型相比。

结论

在 SIR 模型中考虑协变量后,CITV 为立体定向放射外科治疗脑转移瘤患者提供了优于 LITV 的预后价值。

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