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Published on: November 11, 2020
A Quantitative LQ-based Model for Lung Injury in Radiotherapy
Li Wang1, Wenhui Li2, Han Bai1
1Radiation Oncology Center, Yunnan Tumor Hospital, NO. 519, Kunzhou Road, XiShan District, Kunming, Yunnan 650118, China Radiation Oncology Center, The Third Affiliated Hospital of Kunming Medical College, NO. 519, Kunzhou Road, XiShan District, Kunming, Yunnan 650118, China These authors contributed equally to this work.
A new quantitative LQ-based (qLQB) model effectively evaluates lung radio-toxicity and radiation pneumonia probability (RPP). This bio-mathematical model demonstrates reliability comparable to the established Lyman-Kutcher-Burman model.
Area of Science:
- Medical Physics
- Radiation Oncology
- Bio-mathematical Modeling
Background:
- Lung radio-toxicity assessment is crucial in radiation therapy planning.
- Existing models like the Lyman-Kutcher-Burman (LKB) model are widely used.
- There is a need for novel bio-mathematical approaches to refine radio-toxicity evaluation.
Purpose of the Study:
- To introduce a new bio-mathematical model, the quantitative LQ-based (qLQB) model.
- To evaluate the radio-toxicity of the lung and analyze radiation pneumonia probability (RPP).
- To compare the performance of the qLQB model against the LKB model.
Main Methods:
- Developed the qLQB model based on the Linear-Quadratic (LQ) model.
- Calculated the ratio/percent (R/P) of damaged lung Function Subunits (FSUs) to total FSUs.
- Utilized 45 3D treatment plans from lung cancer patients generated with the ELEKTA precise 2.12 system.
Main Results:
- The qLQB model was tested against the LKB model using patient data.
- No statistically significant difference was found in RPP analysis between the qLQB and LKB models (p = 0.412).
- The qLQB model proved efficient and reliable for RPP analysis.
Conclusions:
- The proposed quantitative LQ-based (qLQB) model is a valid tool for evaluating lung radio-toxicity.
- The qLQB model provides reliable analysis of radiation pneumonia probability (RPP).
- This new model offers a comparable alternative to the LKB model in clinical practice.

