Meng Yinnan, Luo Wei, Wang Wei, Zhou Chao, Zhou Suna, Tang Xingni, Hou Liqiao, Kong Feng-Ming Spring, Yang Haihua
Laboratory of Cellular and Molecular Radiation Oncology, Radiation Oncology Institute of Enze Medical Health Academy, Affiliated Taizhou Hospital of Wenzhou Medical University, Taizhou, China.
Department of Radiation Oncology, Affiliated Taizhou Hospital of Wenzhou Medical University, Taizhou, China.
Front Oncol. 2020 Oct 15;10:584756. doi: 10.3389/fonc.2020.584756. eCollection 2020.
Although intensity-modulated radiotherapy (IMRT) is now a preferred option for conventionally fractionated RT in lung cancer, the commonly used cutoff values of the dosimetric constraints are still mainly derived from the data using three-dimensional conformal radiotherapy (3D-CRT). We aimed to compare the prediction performance among different dosimetric parameters for acute radiation pneumonitis (RP) in patients with lung cancer received IMRT.
A total of 236 patients treated with IMRT were retrospectively reviewed in two independent groups of lung cancer from January 2014 to August 2018. The primary endpoint was grade 2 or higher acute RP (RP2). Dose metrics were generated from the bilateral lung volume outside GTV (Vdose) and PTV (Vdose). The associations of RP2 with clinical variables, dose-volume parameters and mean lung dose (MLD) were analyzed by univariate and multivariate logistic regression. The power of discrimination among each predictor was assessed by employing the bootstrapped area under the receiver operating characteristic curve (AUC), net reclassification improvement (NRI), and the integrated discrimination improvement (IDI).
Thirty-four (14.4%) out of 236 patients developed acute RP2 after the end of IMRT. The clinical parameters were identified as less important predictors for RP2 based on univariate and multivariate analysis. In both studied groups, the significance of association was more convincing in V20, V30, and MLD (smaller Ps) than V5 and V5. The largest bootstrapped AUC was identified for the V30. We found a trend of better discriminating performance for the V20 and V30, and MLD than the V5 and V5 according to the higher values in AUC, IDI, and NRI analysis. To limit RP2 incidence less than 20%, the V30 cutoff was 14.5%.
This study identified the intermediate dose-volume parameters V20 and V30 with better prediction performance for acute RP2 than low-dose metrics V5 and V5. Among all studied predictors, the V30 had the best discriminating power, and should be considered as a supplement to the traditional dose constraints in lung cancer treated with IMRT.
尽管调强放射治疗(IMRT)目前是肺癌常规分割放疗的首选方案,但剂量学约束的常用截止值仍主要源自三维适形放疗(3D-CRT)的数据。我们旨在比较接受IMRT的肺癌患者中不同剂量学参数对急性放射性肺炎(RP)的预测性能。
回顾性分析2014年1月至2018年8月期间两组独立的肺癌患者,共有236例接受IMRT治疗。主要终点是2级或更高等级的急性RP(RP2)。剂量指标由GTV(Vdose)和PTV(Vdose)之外的双侧肺体积生成。通过单因素和多因素逻辑回归分析RP2与临床变量、剂量体积参数和平均肺剂量(MLD)之间的关联。采用自举法计算的受试者工作特征曲线下面积(AUC)、净重新分类改善(NRI)和综合鉴别改善(IDI)评估每个预测指标的鉴别能力。
236例患者中有34例(14.4%)在IMRT结束后发生急性RP2。根据单因素和多因素分析,临床参数被确定为RP2的不太重要的预测指标。在两个研究组中,V20、V30和MLD(P值较小)的关联显著性比V5和V5更有说服力。V30的自举法计算的AUC最大。根据AUC、IDI和NRI分析中的较高值,我们发现V20、V30和MLD比V5和V5具有更好的鉴别性能趋势。为了将RP2发生率限制在20%以下,V30的截止值为14.5%。
本研究发现,与低剂量指标V5和V5相比,中等剂量体积参数V20和V30对急性RP2具有更好的预测性能。在所有研究的预测指标中,V30具有最佳的鉴别能力,应被视为IMRT治疗肺癌时传统剂量约束的补充。