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递归分区分析可预测行脊柱立体定向放射外科治疗的患者的总生存率。

Recursive partitioning analysis is predictive of overall survival for patients undergoing spine stereotactic radiosurgery.

机构信息

Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave, Desk CA5, Cleveland, OH, 44195, USA.

Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA.

出版信息

J Neurooncol. 2018 Apr;137(2):289-293. doi: 10.1007/s11060-017-2716-1. Epub 2018 Jan 3.

Abstract

Spine stereotactic radiosurgery (SRS) offers excellent radiographic and pain control for patients with spine metastases. We created a prognostic index using recursive partitioning analysis (RPA) to allow better patient selection for spine SRS. Patients who underwent single-fraction spine SRS for spine metastases were included. Primary histologies were divided into favorable (breast/prostate), radioresistant (renal cell/sarcoma/melanoma) and other. Cox proportional hazards regression was done to identify factors associated with overall survival (OS). RPA was performed to identify factors to classify patients into distinct risk groups with respect to OS. A total of 444 patients were eligible. Median dose was 16 Gy (range 8-18) in 1 fraction and median follow-up was 11.7 months. At time of analysis, 103 (23.1%) patients were alive. Median OS was 12.9 months. RPA identified three distinct classes. Class 1 was defined as KPS > 70 with controlled systemic disease (n = 142); class 3 was defined as KPS ≤ 70 and age < 54 years or KPS ≤ 70 age ≥ 54 years and presence of visceral metastases (n = 95); all remaining patients comprise class 2 (n = 207). Median overall survival was 26.7 months for class 1, 13.4 months for class 2, and 4.5 months for class 3 (p < 0.01). Our analysis demonstrates that there is considerably variability in survival among patients undergoing spine SRS. We created an objective risk stratification via RPA for spine SRS. Given the safety and efficacy of spine SRS and good survival in class 1 and 2 patients, this RPA can help clinicians identify patients who may benefit from upfront spine SRS.

摘要

脊柱立体定向放射外科(SRS)为脊柱转移瘤患者提供了出色的影像学和疼痛控制效果。我们使用递归分区分析(RPA)创建了一个预后指数,以更好地选择脊柱 SRS 患者。纳入接受单次脊柱 SRS 治疗脊柱转移瘤的患者。原发组织学分为有利(乳腺/前列腺)、耐放射(肾细胞/肉瘤/黑色素瘤)和其他。采用 Cox 比例风险回归分析确定与总生存(OS)相关的因素。进行 RPA 以确定将患者分为不同风险组的因素,以获得 OS。共有 444 名患者符合条件。中位剂量为 16 Gy(范围 8-18),单次分割,中位随访时间为 11.7 个月。在分析时,103 名(23.1%)患者存活。中位 OS 为 12.9 个月。RPA 确定了三个不同的类别。1 类定义为 KPS>70 且系统性疾病得到控制(n=142);3 类定义为 KPS≤70 且年龄<54 岁或 KPS≤70 且年龄≥54 岁且存在内脏转移(n=95);所有其余患者均为 2 类(n=207)。1 类的中位总生存期为 26.7 个月,2 类为 13.4 个月,3 类为 4.5 个月(p<0.01)。我们的分析表明,接受脊柱 SRS 的患者的生存情况存在很大差异。我们通过 RPA 为脊柱 SRS 制定了客观的风险分层。鉴于脊柱 SRS 的安全性和有效性以及 1 类和 2 类患者的良好生存情况,该 RPA 可以帮助临床医生识别可能从脊柱 SRS 中获益的患者。

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