Preliminary study and establishment of LQB model and qLQB model for radiation-induced lung injury
Wang Li,Bai Han,Liu Zhijie,Li Wenhui
Radiation Oncology Center of Yunnan Tumor Hospital,Third Affiliated Hospital of Kunming Medical University,Kunming 650118,China (Wang L,Bai H,Li WH);Molecular Clinical Research Institute of Kunming Medical University,Kunming 650118,China (Liu ZJ)
Objective To build two mathematical models, named LQB model and quantified LQB (qLQB) model, based on the LQ model, and to test their effectiveness in evaluation of radiation-induced lung injury using the Lyman-Kutcher-Burman (LKB) model. Methods Firstly, a qualitative LQB model was established. Forty-five patients with thoracic cancer were enrolled as subjects. For each patient, two plans were designed using ELEKTA Precise 2.12 treatment planning system. The plans preferred by the qualitative LQB model and the LKB model were compared. Secondly, a qLQB model was established based on the LQB model. The model was used to calculate the percentage of radiation pneumonitis (RP) for the 45 plans obtained in the first step. Comparison between the percentage of RP and normal tissue complication probability (NTCP) calculated by the LKB model was made by paired t test. Results In the plans for 45 patients, the coincidence rate of the qualitative LQB model with the LKB model was 96%(43/46). For the 45 plans preferred by the LKB model, there was no difference between the percentage of RP by the qLQB model and the NTCP by the LKB model (P=0.412). Conclusions The LQB model and the qLQB model are in good accordance with the LKB model in plan preference and evaluation of radiation-induced lung injury.
Wang Li,Bai Han,Liu Zhijie et al. Preliminary study and establishment of LQB model and qLQB model for radiation-induced lung injury [J]. Chinese Journal of Radiation Oncology, 2017, 26(1): 90-92.
[1] Tsujino K,Hashimoto T,Shimada T,et al. Combined analysis of V20,VS5,pulmonary fibrosis score on baseline computed tomography,and patient age improves prediction of severe radiation pneumonitis after concurrent chemoradiotherapy for locally advanced non-small-cell lung cancer[J].J Thorac Oncol,2014,9(7):983-990.DOI:10.1097/JTO.0000000000000187.
[2] Garces YI,Miller RC.Lung V20 measurements:in regard to Seppenwoolde et al.(Int J Radiat Oncol Biol Phys 2003;55:724-735),and Tsujino et al.(Int J Radiat Oncol Biol Phys 2003;56:1208-1209)[J].Int J Radiat Oncol Biol Phys,2004,58(5):1636.DOI:10.1016/j.ijrobp.2003.12.005.
[3] Wang L,Li W,Bai H,et al. A bio-mathematical model for parallel organs and its use in ranking radiation treatment plans[J].Technol Cancer Res Treat,2012,11(6):583-590.
[4] Wang L,Li W,Bai H,et al. A quantitative LQ-based model for lung injury in radiotherapy[J].Technol Cancer Res Treat,2015,14(5):531-538.DOI:10.7785/tcrt.2012.500439.
[5] Kutcher GJ,Burman C.Calculation of complication probability factors for non-uniform normal tissue irradiation:the effective volume method gerald[J].Int J Radiat Oncol Biol Phys,1989,16(6):1623-1630.DOI:10.1016/0360-3016(89)90972-3.
[6] Dubray B,Henry-Amar M,Meerwaldt JH,et al. Radiation- induced lung damage after thoracic irradiation for Hodgkin’s disease:the role of fractionation[J].Radiother Oncol,1995,36(3):211-217.DOI:10.1016/0167-8140(95) 01606-H.
[7] Lyman JT.Complication probability as assessed from dose-volume histograms[J].Radiat Res,1985,8:S13-S19.DOI:10.2307/3583506.
[8] 徐慧敏,曹建忠,王静波,等.非小细胞肺癌放疗后有症状放射性肺损伤治疗及转归分析[J].中华放射肿瘤学杂志,2013,22(3):201-204.DOI:10.3760/cma.j.issn.1004-4221.2013.03.008.
Xu HM,Cao JZ,Wamg JB,et al. Management and outcome of symptomatic radiation induced lung injury in non-small cell lung cancer[J].Chin J Radiat Oncol,2013,22(3):201-204.DOI:10.3760/cma.j.issn.1004-4221.2013.03.008.
[9] 舒留洋,陆合明,陈华生,等.四维CT联合呼吸门控技术在非小细胞肺癌放疗中的剂量学研究[J].中华放射肿瘤学杂志,2014,23(2):97-98.DOI:10.3760/cma.j.issn.1004-4221.2014.02.004.
Shu LY,Lu HM,Chen HS,et al. Dosimetric study of four-dimensional CT combined with respiratory gating in radiotherapy in non-small cell lung cancer[J].Chin J Radiat Oncol,2014,23(2):97-98.DOI:10.3760/cma.j.issn.1004-4221.2014.02.004.
2017, Vol. 26 
