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LQB和qLQB模型的创建及在放射性肺损伤中的初步研究
引用本文:王丽,柏晗,刘志杰,李文辉. LQB和qLQB模型的创建及在放射性肺损伤中的初步研究[J]. 中华放射肿瘤学杂志, 2017, 26(1): 90-92. DOI: 10.3760/cma.j.issn.1004-4221.2017.01.020
作者姓名:王丽  柏晗  刘志杰  李文辉
作者单位:650118 昆明,云南省肿瘤医院放疗中心昆明医科大学第三附属医院放疗中心(王丽、柏晗、李文辉);650118昆明医科大学分子临床医学研究院(刘志杰)
摘    要:目的 基于LQ模型建立LQB和qLQB模型,初步评估其放射性肺损伤中的有效性。方法 随机抽取45例胸部肿瘤患者资料,在医科达Precise 2.12 TPS上为每例患者设计计划,用定性LQB和LKB模型分别对计划优选结果进行评估。在定性LQB模型基础上建立定量LQB模型(qLQB模型),用qLQB模型计算上述优选计划的放射性肺损伤值,并将放射性肺损伤值与LKB模型计算的NTCP值进行配对t检验。结果 定性LQB和LKB模型对计划评估的吻合率为96%。qLQB模型计算的肺损伤值与LKB模型计算的NTCP值相近(P=0.412)。结论 LQB和qLQB模型在优选计划和评估放射性肺损伤方面与LKB模型有很好的一致性。

关 键 词:放射性肺损伤  LQ模型  LQB模型  LKB模型  qLQB模型  
收稿时间:2015-09-09

Preliminary study and establishment of LQB model and qLQB model for radiation-induced lung injury
Wang Li,Bai Han,Liu Zhijie,Li Wenhui. 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. DOI: 10.3760/cma.j.issn.1004-4221.2017.01.020
Authors:Wang Li  Bai Han  Liu Zhijie  Li Wenhui
Affiliation: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)
Abstract: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.
Keywords:Radiation-induced lung injury  LQ model  LQB model  LKB model  qLQB model
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