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Abstract
Purpose: This study aimed to investigate the dose dependency of asymptomatic radiation pneumonitis (aRP) in patients with lung cancer following radiotherapy, focusing on the predictive value of dosimetric parameters.
Methods: This study included 72 patients with primary lung cancer who underwent radiotherapy between January 2019 and June 2022. The patients were divided into an aRP group (n = 30) and a non-RP group (n = 42). The physical dose was converted to an equivalent dose using the Linear-Quadratic (LQ) model, with an α/β value of 3. Three lung structures were defined, and the corresponding dose-volume histogram parameters were collected. The Mann–Whitney U test was used to compare dose parameters between the two groups, and multivariate logistic regression was performed to remove correlations among different parameters. A logistic function and receiver operating characteristic curve were constructed to predict aRP. This study analyzed the impact of different clinical characteristics on the aRP incidence.
Results: The lungs-planning target volume (PTV) V15(Gy) was ultimately identified as the best predictive parameter. Significant dose–response relationships were observed, with V15(Gy) achieving an area under the curve of 0.666 ± 0.067 (P = 0.017). The optimal cutoff value for lungs-PTV V15(Gy) was 21.1%, below which the incidence of aRP decreased significantly. Immunotherapy has been identified as an independent risk factor for aRP.
Conclusion: The occurrence of aRP in patients with lung cancer after radiotherapy has a clear dose dependency, with lungs-PTV, V15(Gy) being the best dose parameter for prediction, and the optimal cutoff value based on this study was 21.1%.
Keywords
Dosimetry
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Logistic Models
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Lung Neoplasms
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Radiation Pneumonitis
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Radiotherapy
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Weixing Ji, Tao Jiang, Zhihan Chen, Gang Chen, Yang Zhang, Shisuo Du.
V15(Gy) as a predictor of asymptomatic radiation pneumonitis in patients with lung cancer: A retrospective dosimetric analysis.
Precision Radiation Oncology, 2025, 9(3): 185-191 DOI:10.1002/pro6.70029
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2025 The Author(s). Precision Radiation Oncology published by John Wiley & Sons Australia, Ltd on behalf of Shandong Cancer Hospital & Institute.