LQB和qLQB模型的创建及在放射性肺损伤中的初步研究

doi:10.3760/cma.j.issn.1004-4221.2017.01.020

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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.

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	Articles by authors
	Wang Li
	Bai Han
	Liu Zhijie
	Li Wenhui

Key words： Radiation-induced lung injury LQ model LQB model LKB model qLQB model

Received: 09 September 2015

Corresponding Authors: Li Wenhui,Email:ky_2015925@163.com

Cite this article:

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.

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http://journal12.magtechjournal.com/Jweb_fszlx/EN/10.3760/cma.j.issn.1004-4221.2017.01.020 OR http://journal12.magtechjournal.com/Jweb_fszlx/EN/Y2017/V26/I1/90

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