Construction of a nomogram to predict moderate-to-severe acute radiation dermatitis in breast cancer based on R-shiny and its application
CUI Na
CHEN Ling
ZHANG Xinchun
Abstract：Objective To analyze the factors influencing moderate-to-severe acute radiation dermatitis in breast cancer,and to construct a nomogram to predict it and validate the performance.Methods Retrospectively,245 patients with acute radiation dermatitis of breast cancer in Affiliated Cancer Hospital of Xinjiang Medical University from May 2022 to June 2023 were collected as a modeling group.They were classified into mild(n=188)and moderate-to-severe groups(n=57),and the influencing factors of moderate-to-severe acute radiation dermatitis of breast cancer were analyzed by logistic regression.A nomogram was created to predict moderate-to-severe acute radiation dermatitis in breast cancer.A total of 105 patients with acute radiation dermatitis of breast cancer collected from July to November 2023 were selected for external validation.Results Logistic regression showed that diabetes mellitus,body mass index(BMI)>24kg/m2,positive regional lymph node metastasis,and high expression of value-added index were the influencing factors for moderate-to-severe acute radiation dermatitis in breast cancer.The area under the curve(AUC)of the nomogram for internal validation and external validation was 0.737 and 0.899,respectively.Conclusion The nomogram has a good efficacy and helps healthcare professionals to identify patients at high risk of moderate-to-severe acute radiation dermatitis in breast cancer early and accurately.
Keywords：breast canceracute radiation dermatitismoderate-to-severenomogrampredictive modeling
Publication Date：2026-01-26
Online Publishing Date：2026-03-17(First online date of this platform, not the publication date of the document)
Pages：6( 139-144 )