Clinical applicability analysis of predictive models for radiation-induced lung injury in non-small cell lung cancer
10.13491/j.issn.1004-714X.2025.01.021
- VernacularTitle:非小细胞肺癌放射性肺损伤预测模型的临床可应用性分析
- Author:
Feng GUO
1
;
Meng ZHANG
1
;
Aonan DU
1
;
Wenbin SHEN
1
;
Honglin CHEN
1
;
Qiang WANG
1
Author Information
1. Department of Radiation Oncology, Xuzhou Cancer Hospital, Xuzhou 221005 China.
- Publication Type:OriginalArticles
- Keywords:
Non-small cell lung cancer;
Radiation-induced lung injury;
Predictive model
- From:
Chinese Journal of Radiological Health
2025;34(1):126-134
- CountryChina
- Language:Chinese
-
Abstract:
Objective To develop and validate a model to predict the risk of radiation-induced lung injury (RILI) and assess its clinical feasibility. Methods Clinical data from 125 patients with non-small cell lung cancer (NSCLC) were included in the study. The patients were divided into training group (88 cases) and validation group (38 cases). Key predictive factors were identified using univariate and multivariate logistic regression analyses combined with least absolute shrinkage and selection operator (LASSO) regression. A predictive model was constructed and evaluated using a nomogram, receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis. Results The key variables identified by the model were tumor volume (P = 0.017), Eastern Cooperative Oncology Group performance status score (P = 0.035), 95% of the minimum dose to the target volume (P = 0.028), percentage of bilateral lung volume receiving 20 Gy of radiation (P < 0.001), and neutrophil-to-lymphocyte ratio (P = 0.021). The ROC curve showed that the areas under the curve (AUC) for the model in the training and validation groups were 0.987 and 0.992, respectively, indicating good predictive ability. The calibration curve and decision curve further confirmed the accuracy and clinical practicability of the model. Conclusion The predictive model proposed in this study can accurately assess the risk of developing RILI in patients with NSCLC who have undergone radiotherapy, demonstrating its potential value in clinical practice.
