Weixing Ji, Tao Jiang, Zhihan Chen, Gang Chen, Yang Zhang, Shisuo Du
{"title":"V<sub>15(Gy)</sub> as a predictor of asymptomatic radiation pneumonitis in patients with lung cancer: A retrospective dosimetric analysis.","authors":"Weixing Ji, Tao Jiang, Zhihan Chen, Gang Chen, Yang Zhang, Shisuo Du","doi":"10.1002/pro6.70029","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>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.</p><p><strong>Methods: </strong>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 (<i>n</i> = 30) and a non-RP group (<i>n</i> = 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.</p><p><strong>Results: </strong>The lungs-planning target volume (PTV) V<sub>15(Gy)</sub> was ultimately identified as the best predictive parameter. Significant dose-response relationships were observed, with V<sub>15(Gy)</sub> achieving an area under the curve of 0.666 ± 0.067 (<i>P</i> = 0.017). The optimal cutoff value for lungs-PTV V<sub>15(Gy)</sub> was 21.1%, below which the incidence of aRP decreased significantly. Immunotherapy has been identified as an independent risk factor for aRP.</p><p><strong>Conclusion: </strong>The occurrence of aRP in patients with lung cancer after radiotherapy has a clear dose dependency, with lungs-PTV, V<sub>15(Gy)</sub> being the best dose parameter for prediction, and the optimal cutoff value based on this study was 21.1%.</p>","PeriodicalId":32406,"journal":{"name":"Precision Radiation Oncology","volume":"9 3","pages":"185-191"},"PeriodicalIF":3.6000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12559912/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Precision Radiation Oncology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/pro6.70029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
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%.