A predictive model for L-T4 dose in postoperative DTC after RAI therapy and its clinical validation in two institutions

A predictive model for L-T4 dose in postoperative DTC after RAI therapy and its clinical validation in two institutions

PurposeTo develop a predictive model using machine learning for levothyroxine (L-T4) dose selection in patients with differentiated thyroid cancer (DTC) after resection and radioactive iodine (RAI) therapy and to prospectively validate the accuracy of the model in two institutions.MethodsA total of...

Full description

Bibliographic Details
Main Authors: Jian-Jing Liu, Zi-Yang Wang, Yuan-Fang Yue, Guo-Tao Yin, Li-Na Tong, Jie Fu, Xiao-Ying Ma, Yan Li, Xue-Yao Liu, Li-Bo Zhang, Qian Su, Zhao Yang, Xiao-Feng Li, Wen-Gui Xu, Dong Dai
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-08-01
Series:Frontiers in Endocrinology
Subjects:
differentiated thyroid cancer
radioactive iodine therapy
levothyroxine
thyroid stimulating hormone
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2024.1425101/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2024.1425101/full

Similar Items