Amsbaugh Mark J, Yusuf Mehran B, Gaskins Jeremy, Dragun Anthony E, Dunlap Neal, Guan Timothy, Woo Shiao
1 Department of Radiation Oncology, University of Louisville, Louisville, KY, USA.
2 Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY, USA.
Technol Cancer Res Treat. 2017 Jun;16(3):344-351. doi: 10.1177/1533034616685025. Epub 2016 Dec 27.
Purpose/Objective(s): To establish a dose-volume response relationship for brain metastases treated with single-fraction robotic stereotactic radiosurgery and identify predictors of local control.
MATERIALS/METHODS: We reviewed a prospective institutional database of all patients treated for intact brain metastases with stereotactic radiosurgery alone using the CyberKnife robotic radiosurgery system from 2012 to 2015. Tumor response was determined based on Response Evaluation Criteria In Solid Tumors version 1.1. Survival was estimated using the Kaplan-Meier method. Logistic regression modeling was used to identify predictors of outcome and establish a dose-volume response relationship. Receiver operating characteristic curves were constructed to evaluate the predictive capability of the relationship.
There were 357 metastases evaluated in 111 patients with a median diameter of 8.14 mm (2.00-40.77 mm). At 6 and 12 months, local control was 86.9% and 82.2%, respectively. For lesions of similar volumes, higher maximum dose, mean dose, and minimum dose (all P values <.05) predicted for better local control. Tumor volume and diameter were strongly correlated, and a dose-volume response relationship was constructed using mean dose per lesion diameter (Gy/mm) that was predictive of local control (odds ratio: 1.34, 95% confidence interval: 1.06-1.70). Area under the receiver operating characteristic curve for local control and mean dose by volume was 0.6199 with a threshold of 2.05 Gy/mm (local failure 7.6% above and 17.3% below 2.05 Gy/mm).
A dose-volume response relationship exists for brain metastases treated with robotic stereotactic radiosurgery. Mean dose per volume is strongly predictive of local control and can be potentially useful during stereotactic radiosurgery plan evaluation while respecting previously established dose constraints.
目的/目标:建立单次分割机器人立体定向放射外科治疗脑转移瘤的剂量-体积反应关系,并确定局部控制的预测因素。
材料/方法:我们回顾了2012年至2015年期间使用射波刀机器人放射外科系统仅接受立体定向放射外科治疗完整脑转移瘤的所有患者的前瞻性机构数据库。根据实体瘤疗效评价标准第1.1版确定肿瘤反应。采用Kaplan-Meier法估计生存率。使用逻辑回归模型确定结果的预测因素并建立剂量-体积反应关系。构建受试者操作特征曲线以评估该关系的预测能力。
111例患者共评估了357个转移灶,中位直径为8.14 mm(2.00 - 40.77 mm)。在6个月和12个月时,局部控制率分别为86.9%和82.2%。对于体积相似的病灶,更高的最大剂量、平均剂量和最小剂量(所有P值 <.05)预示着更好的局部控制。肿瘤体积和直径高度相关,并使用每个病灶直径的平均剂量(Gy/mm)构建了剂量-体积反应关系,该关系可预测局部控制(优势比:1.34,95%置信区间:1.06 - 1.70)。局部控制和按体积计算的平均剂量的受试者操作特征曲线下面积为0.6199,阈值为2.05 Gy/mm(2.05 Gy/mm以上局部失败率为7.6%,2.05 Gy/mm以下为17.3%)。
机器人立体定向放射外科治疗脑转移瘤存在剂量-体积反应关系。每体积平均剂量对局部控制具有很强的预测性,在立体定向放射外科计划评估期间,在遵守先前确定的剂量限制的同时可能会很有用。