A clinical feature-based nomogram for the personalized prediction of radioactive iodine therapy outcomes in patients with papillary thyroid carcinoma.

ABSTRACT: The present study aimed to develop and validate a clinical nomogram for personalized prediction of radioactive iodine (RAI) therapy outcomes in patients with papillary thyroid carcinoma (PTC), addressing the limitations of single-factor predictors such as thyroglobulin (Tg). A retrospective analysis of 1,073 patients with PTC treated with RAI was conducted, with cohorts divided into training (n=751) and validation (n=322) sets. Multivariate logistic regression identified age, sex, tumor subtype, size, metastasis (M) stage and Tg level as independent predictors of non-excellent response at 6 months (all P<0.05), while subtype and Tg level remained significant for 3-year outcomes. The nomogram demonstrated strong discrimination, with AUCs of 0.823 (95% CI, 0.801-0.845) for 6 months and 0.929

SUBMITTER: Cao J 

PROVIDER: S-EPMC12538114 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature