Impact of serum TRAb level changes on the efficacy of 131I therapy in Graves’ disease: a decision tree prediction model
Decision tree modeling identified early TRAb elevation patterns that serve as strong predictors of RAI efficacy. Incorporating TRAb fluctuations into clinical assessment may facilitate personalized <sup>131</sup>I dosing strategies, ultimately improving treatment outcomes for GD patients.
Authors
- Shasha Hou (ORCID: https://orcid.org/0000-0002-8707-308X)
- Wei Zheng (ORCID: https://orcid.org/0000-0003-4510-9117)
- Ziyu Ma (ORCID: https://orcid.org/0000-0002-9801-0383)
- Xuan Wang (ORCID: https://orcid.org/0000-0002-4504-4360)
- Youwei Du (ORCID: https://orcid.org/0000-0002-9827-9278)
- Xue Li (ORCID: https://orcid.org/0000-0002-4515-6792)
- Zhaowei Meng (ORCID: https://orcid.org/0000-0001-6370-7394)
- Nan Liu (ORCID: https://orcid.org/0009-0008-0767-9788)
Institutions
- Tianjin Medical University General Hospital (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-07-01
- DOI
- https://doi.org/10.3389/fendo.2025.1581353
- Primary Topic
- Thyroid Disorders and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00