医学
置信区间
放射外科
核医学
危险系数
比例危险模型
单变量分析
内科学
心室
切断
肺癌
多元分析
放射治疗
放射科
量子力学
物理
作者
Mark Farrugia,Han Yu,Sung Jun,Austin J. Iovoli,Saraswati Pokharel,Umesh C Sharma,Simon Fung-Kee-Fung,Nadia Malik,Anurag Singh,H Malhotra
出处
期刊:Cancers
[MDPI AG]
日期:2022-03-09
卷期号:14 (6): 1391-1391
被引量:7
标识
DOI:10.3390/cancers14061391
摘要
The consequence of cardiac substructure irradiation in patients receiving stereotactic body radiation therapy (SBRT) is not well characterized. We reviewed the charts of patients with central lung tumors managed by definitive SBRT from June 2010–April 2019. All patients were treated with five fractions, typically either 5000 cGy (44.6%) or 5500 cGy (42.2%). Via a multi-patient atlas, fourteen cardiac substructures were autosegmented, manually reviewed and analyzed using dosimetric parameters. A total of 83 patients were included with a median follow up of 33.4 months. Univariate Cox regression analysis identified a D45% dose to the right atria and ventricle for further study. Sequential log-rank testing evaluating an association between non-cancer associated survival and D45% dose to the right atria or ventricle and association was employed, identifying candidate cutoff values of 890.3 cGy and 564.4 cGy, respectively. Kaplan–Meier analysis using the reported cutoff values found the D45% right atria constraint to be significantly associated with non-cancer associated (p ≤ 0.001) and overall survival (p ≤ 0.001) but not the right ventricle constraint. Within a multivariate model, the proposed right atria D45% cutoff remained significantly correlated with non-cancer associated survival (Hazard’s Ratio (HR) ≤ 8.5, 95% confidence interval (CI) 1.1–64.5, p ≤ 0.04) and OS (HR ≤ 6.1, 95% CI 1.0–36.8, p ≤ 0.04). In conclusion, a dose to D45% of the right atria significantly correlated with outcome and the candidate constraint of 890 cGy stratified non-cancer associated and OS. The inclusion of these findings with previously characterized relationships between proximal airway constraints and survival enhances our understanding of why centrally located tumors are high risk and potentially identifies key constraints in organ at risk prioritization.
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