Construction and Validation of A Combination of Disease and Syndrome Prediction Model for Radiation Pneumonitis in Intensity-modulated Radiation Therapy
- VernacularTitle:调强放疗模式下放射性肺炎病证结合预测模型的构建及验证
- Author:
Xinying ZHENG
1
;
Huiyong ZHANG
;
Lei WANG
;
Xing HUANG
;
Lei QIU
;
Shunxian ZHANG
;
Qingliang FANG
;
Zhenhui LU
Author Information
- Publication Type:Journal Article
- Keywords: Prediction model; Nons-mall cell lung cancer; Intensity modulated radiotherapy; Radiation pneumonitis; TCM syndrome elements
- From: World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(4):1064-1071
- CountryChina
- Language:Chinese
- Abstract: Objective To establish,evaluate and validate the Nomogram prediction model of radiation pneumonitis(RP)in intensity modulated radiotherapy(IMRT)with TCM syndrome elements.Methods 257 patients with locally advanved non-small cell lung cancer receiving IMRT were analyzed retrospectively.The total population was randomly divided into a training set and a validation set by 7:3.A prediction model was established by Lasso-Logistic regression analysis,and then visualized by Nomogram to evaluate and validate the model.Results Independent risk factors included in the prediction model included tumor stage(OR=6.576;P=0.003),position(OR=2.935;P=0.016),MLD of the affected lung(OR=1.001;P<0.001)and Yin deficiency(OR=3.861;P=0.003).Based on the above factors,the prediction model was constructed and visualized.The C-index of the training set and the validation set were 0.865 and 0.867,respectively.The calibration curves of the two sets had a good fit and had certain clinical usefulness.Conclusion Based on the clinical elements of Chinese and Western medicine,tumor stage,position,lung MLD and Yin deficiency,the model can accurately predict the occurrence of≥grade 2 RP,and provide a reference for clinical screening of high-risk patients and further improvement of treatment plan.
