Briere Tina Marie, Krafft Shane, Liao Zhongxing, Martel Mary K
Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Int J Radiat Oncol Biol Phys. 2016 Feb 1;94(2):377-84. doi: 10.1016/j.ijrobp.2015.10.002. Epub 2015 Oct 9.
The purpose of this study was to identify patient populations treated for non-small cell lung cancer (NSCLC) who may be more at risk of radiation pneumonitis.
A total of 579 patients receiving fractionated 3D conformal or intensity modulated radiation therapy (IMRT) for NSCLC were included in the study. Statistical analysis was performed to search for cohorts of patients with higher incidences of radiation pneumonitis. In addition to conventional risk factors, total and spared lung volumes were analyzed. The Lyman-Kutcher-Burman (LKB) and cure models were then used to fit the incidence of radiation pneumonitis as a function of lung dose and other factors.
Total lung volumes with a sparing of less than 1854 cc at 40 Gy were associated with a significantly higher incidence of radiation pneumonitis at 6 months (38% vs 12% for patients with larger volumes, P<.001). This patient cohort was overwhelmingly female and represented 22% of the total female population of patients and nearly 30% of the cases of radiation pneumonitis. An LKB fit to normal tissue complication probability (NTCP) including volume as a dose modifying factor resulted in a dose that results in a 50% probability of complication for the smaller spared volume cohort that was 9 Gy lower than the fit to all mean lung dose data and improved the ability to predict radiation pneumonitis (P<.001). Using an effective dose parameter of n=0.42 instead of mean lung dose further improved the LKB fit. Fits to the data using the cure model produced similar results.
Spared lung volume should be considered when treating NSCLC patients. Separate dose constraints based on smaller spared lung volume should be considered. Smaller spared lung volume patients should be followed closely for signs of radiation pneumonitis.
本研究旨在确定接受非小细胞肺癌(NSCLC)治疗的患者群体中,哪些人群发生放射性肺炎的风险可能更高。
本研究纳入了579例接受非小细胞肺癌三维适形或调强放疗(IMRT)的患者。进行统计分析以寻找放射性肺炎发病率较高的患者队列。除了传统风险因素外,还分析了全肺和肺受照体积。然后使用莱曼-库彻-伯曼(LKB)模型和治愈模型,将放射性肺炎的发病率拟合为肺剂量和其他因素的函数。
在40 Gy时肺受照体积小于1854 cc的患者,6个月时放射性肺炎的发病率显著更高(肺受照体积较大的患者为12%,而该组为38%,P<0.001)。该患者队列中女性占绝大多数,占女性患者总数的22%,且几乎占放射性肺炎病例的30%。将LKB模型拟合到正常组织并发症概率(NTCP),并将体积作为剂量修正因子,结果显示,对于肺受照体积较小的队列,导致50%并发症概率的剂量比拟合所有平均肺剂量数据时低9 Gy,且提高了预测放射性肺炎的能力(P<0.001)。使用n = 0.42的有效剂量参数而非平均肺剂量,进一步改善了LKB模型的拟合效果。使用治愈模型对数据进行拟合也产生了类似结果。
在治疗非小细胞肺癌患者时应考虑肺受照体积。应考虑根据较小的肺受照体积制定单独的剂量限制。对于肺受照体积较小的患者,应密切随访观察放射性肺炎的迹象。