Prognostic value of preablative stimulated thyroglobulin and its decline after 131 I therapy in differentiated thyroid cancer
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background The incidence of differentiated thyroid cancer (DTC) has been increasing, highlighting the need for reliable predictors of treatment response. This study aimed to assess the prognostic value of stimulated thyroglobulin (sTg) levels before and after the first 131I treatment in DTC patients without distant metastases.Methods Sixty patients were classified into excellent response (ER) and non-excellent response (NER) groups based on a comprehensive evaluation of imaging findings, sTg, suppressed Tg and other parameters. Clinical and pathological variables were analyzed using univariate and multivariate logistic regression. Receiver operating characteristic (ROC) curve analysis was used to determine optimal cut-off values for pre-131I sTg levels and for the rate of sTg decline after the first 131I therapy.Results Both pre-131I sTg level (OR: 3.010, 95% CI: 1.004–9.029, p = 0.049) and the rate of sTg decline (OR: 0.756, 95% CI: 0.590–0.968, p = 0.026) were identified as independent predictors of clinical outcomes. The optimal threshold for pre-131I sTg was 14.55 μg/L (sensitivity: 95.0%, specificity: 67.5%, AUC: 0.804), and for the rate of sTg decline, 44.75% (sensitivity: 70.0%, specificity: 97.5%, AUC: 0.889). A prognostic nomogram was developed incorporating sex, age, pre- and post-131I sTg levels, T and N stages, tumor size, and thyroiditis.Conclusion Lower pre-131I sTg levels and/or a greater rate of sTg decline after the first 131I treatment are associated with more favorable clinical outcomes. The proposed nomogram may assist clinicians in optimizing treatment decisions and stratifying follow-up strategies for patients with DTC.
Source: Annals of Medicine
Authors: Jingjing Wang, Yuyue Hou, Jie Tan, Yajing Zhang, Ruolin Wu, Yanmei Han, Xiaojing Ren, Xiaotian Xia, Zairong Gao
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,557
Awards: G1358517471, G3796107584
OpenAlex ID: W4415466396
