Severe acute radiation pneumonitis after concurrent chemoradiotherapy in non-small cell lung cancer
WANG Jin*, ZHUANG Ting-ting, HE Zhi-chun, PENG Fang, MA Hong-liang, ZHOU Qi-chao, ZHANG Li, HE Zheng-yu, BAO Yong, DENG Xiao-wu,CHEN Ming
*Departments of Radiation Oncology, Cancer Center of Sun Yat-Sen University, State Key Laboratory of Oncology in Southern China, Guangzhou 510060, China
Corresponding author:BAO Yong
Objective The study is to investigate the predictive values of dosimetric parameters and patient related factors in severe acute radiation pneumonitis (SARP) after concurrent chemoradiotherapy in non-small cell lung cancer (NSCLC). Methods In all, 147 NSCLC patients treated with concurrent chemotherapy and 3DCRT between 2006 and 2010 was collected. Independent sample t test was used to compare parameter values between patients with SARP and those without SARP. Logistic regression was used to identify significant determined factor. Predictive value of each parameter was tested by ROC analysis. Pearson correlation was used to analyze correlations between parameters. Represent factors were identified by factor analysis. Results The incidence of SARP was 9.5%(14/147). The means lung dose (MLD), V20, V30, V40, and V50(χ2=4.87-6.84,P=0.009-0.025, respectively) were determining factors for SARP. Our datasets shows that for SARP<5%, MLD, V20, V30, V40 and V50 should be ≤16.77 Gy, V20≤34.15%,.V30≤23.62%,.V40≤18.57%, V50≤13.02%. ROC analysis show that areas under MLD, V20, V30, V40 and V50 curves was corresponding to 0.678, 0.661, 0.667, 0.677, and 0.651, respectively. In addition, the sensitivity and specificity of each parameter at cutoff values are:78.0% and 48.1% for MLD;42.9% and 82.0% for V20;78.6% and 52.9% for V30;71.4% and 61.7% for V40, and 57.1% and 67.7% for V50. Factor analysis suggest that we can choose 1 or 2 parameters from MLD, V20, or V30, and another from V40 or V50 for predicting. The incidence of SARP was greater in patients withtumors in right lower lung than other locations (22.2% vs 6.7%,χ2=6.19,P=0.023). ConclusionsThe MLD, V20, V30, V40 and V50 are determining factors for SARP. As predictive value of each parameter alone is relatively week, using two or more parameters to predict SARP is recommended.
WANG Jin*,ZHUANG Ting-ting,HE Zhi-chun et al. Severe acute radiation pneumonitis after concurrent chemoradiotherapy in non-small cell lung cancer[J]. Chinese Journal of Radiation Oncology, 2012, 21(4): 326-329.
[1] 庄婷婷,柳青,张黎.非小细胞肺癌同期放化疗后急性放射性肺炎DVH预测参数的研究.中华放射肿瘤学杂志,2009,18:443-447. [2] Harris KM, Adams H, Lloyd DC, et al. The effect on apparent size of simulated pulmonary nodules of using three standard CT window settings. Clin Radiol,1993,47:241-244. [3] Tucker SL, Jin H, Wei X, et al. Impact of toxicity grade and scoring system on the relationship between mean lung dose and risk of radiation pneumonitis in a large cohort of patients with non-small cell lung cancer. Int J Radiat Oncol Biol Phys,2010,77:691-698. [4] Barriger RB, Fakiris AJ, Hanna N, et al. Dose-volume analysis of radiation pneumonitis in non-small-cell lung cancer patients treated with concurrent cisplatinum and etoposide with or without consolidation docetaxel. Int J Radiat Oncol Biol Phys,2010,78:1381-1386. [5] Kim TH, Cho KH, Pyo HR, et al. Dose-volumetric parameters for predicting severe radiation pneumonitis after three-dimensional conformal radiation therapy for lung cancer. Radiology,2005,235:208-215. [6] Graham MV, Purdy JA, Emami B, et al. Clinical dose-volume histogram analysis for pneumonitis after 3D treatment for non-small cell lung cancer (NSCLC). Int J Radiat Oncol Biol Phys,1999,45:323-329. [7] Yamada M, Kudoh S, Hirata K, et al. Risk factors of pneumonitis following chemoradiotherapy for lung cancer. Eur J Cancer, 1998,34:71-75. [8] Hope AJ, Lindsay PE, El Naqa I, et al. Modeling radiation pneumonitis risk with clinical, dosimetric, and spatial parameters. Int J Radiat Oncol Biol Phys,2006,65:112-124. [9] Seppenwoolde Y, De Jaeger K, Boersma LJ, et al. Regional differences in lung radiosensitivity after radiotherapy for non-small-cell lung cancer. Int J Radiat Oncol Biol Phys,2004,60:748-758. [10] Ross CS, Hussey DH, Pennington EC, et al. Analysis of movement of intrathoracic neoplasms using ultrafast computerized tomography. Int J Radiat Oncol Biol Phys,1990,18:671-677. [11] Seppenwoolde Y, Shirato H, Kitamura K, et al. Precise and real-time measurement of 3D tumor motion in lung due to breathing and heartbeat, measured during radiotherapy. Int J Radiat Oncol Biol Phys,2002,53:822-834.