在一项关于 III 期非小细胞肺癌确定性放疗后总生存期与心脏剂量相关性的研究中,利用新型统计技术准确确定预测剂量范围。

Journal of Cancer Therapy Pub Date : 2021-09-01 Epub Date: 2021-09-29 DOI:10.4236/jct.2021.129044
Joshua R Niska, Jiuyun Hu, Jing Li, Michael G Herman, Cameron S Thorpe, Steven E Schild, Mirek Fatyga
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引用次数: 0

摘要

目的:最近对III期非小细胞肺癌(NSCLC)放疗(RT)的研究发现,心脏的高剂量与心脏毒性和总生存率(OS)下降有关。我们采用先进的统计技术来考虑剂量学变量之间的相关性,并更准确地确定心脏剂量的范围,该范围与接受RT治疗III期NSCLC患者OS下降有关:2006年至2013年,119例III期NSCLC患者在我院接受了明确的RT治疗。OS数据来自本院肿瘤登记处。我们使用多变量 Cox 模型来确定可预测总生存期缩短的患者特异性协变量。我们将年龄、处方剂量、平均肺剂量、肺V20、RT技术、分期、化疗、肿瘤侧位、肿瘤体积和肿瘤部位作为候选协变量。随后,我们在多变量Cox模型中使用了新的统计技术,系统地搜索全心剂量-体积直方图(DVH),以寻找与OS相关的剂量参数:结果:对患者进行了随访,直至死亡或最后一次随访时存活 2.5 至 81.2 个月(中位数为 30.4 个月)。在对全心DVH进行多变量分析时,51 Gy的剂量被确定为一个阈值剂量,超过该剂量时,剂量体积关系对OS具有预测作用。我们确定V55Gy(整个心脏容积接受至少55 Gy剂量的百分比)是最佳的单一DVH指数,可用于设定治疗优化限制(心脏容积至少接受55 Gy剂量每增加1%,危险比=1.044,P=0.03)。在多变量分析中,与OS相关的其他特征包括年龄、分期(IIIA/IIIB)和化疗:结论:在接受确定性RT治疗的III期NSCLC患者中,剂量超过51 Gy且用于心脏的体积较小,与较差的OS有关。分期越高、年龄越大以及缺乏化疗也与OS降低有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Novel Statistical Techniques to Accurately Determine the Predictive Dose Range in a Study of Overall Survival after Definitive Radiotherapy for Stage III Non-Small Cell Lung Cancer in Association with Heart Dose.

Purpose: Recent studies of radiotherapy (RT) for stage III non-small-cell lung cancer (NSCLC) have associated high dose to the heart with cardiac toxicity and decreased overall survival (OS). We used advanced statistical techniques to account for correlations between dosimetric variables and more accurately determine the range of heart doses which are associated with reduced OS in patients receiving RT for stage III NSCLC.

Methods: From 2006 to 2013, 119 patients with stage III NSCLC received definitive RT at our institution. OS data was obtained from institutional tumor registry. We used multivariate Cox model to determine patient specific covariates predictive for reduced overall survival. We examined age, prescription dose, mean lung dose, lung V20, RT technique, stage, chemotherapy, tumor laterality, tumor volume, and tumor site as candidate covariates. We subsequently used novel statistical techniques within multivariate Cox model to systematically search the whole heart dose-volume histogram (DVH) for dose parameters associated with OS.

Results: Patients were followed until death or 2.5 to 81.2 months (median 30.4 months) in those alive at last follow up. On multivariate analysis of whole heart DVH, the dose of 51 Gy was identified as a threshold dose above which the dose volume relationship becomes predictive for OS. We identified V55Gy (percentage of the whole heart volume receiving at least 55 Gy) as the best single DVH index which can be used to set treatment optimization constraints (Hazard Ratio = 1.044 per 1% increase in heart volume exposed to at least 55 Gy, P = 0.03). Additional characteristics correlated with OS on multivariate analysis were age, stage (IIIA/IIIB), and administration of chemotherapy.

Conclusion: Doses above 51 Gy, applied to small volumes of the heart, are associated with worse OS in stage III NSCLC patients treated with definitive RT. Higher stage, older age and lack of chemotherapy were also associated with reduced OS.

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