Comparing the efficacy of thyroglobulin and thyroglobulin/ thyroid-stimulating hormone ratio models in predicting a successful response to radioactive iodine therapy

Author:

Ju Yanli,Wang Lihua,Cheng Fang,Huang Fengyan,Chen Xueyu,Song Qingqing,Xiao Juan,Zhu Xiaolu,Jia Hongying

Abstract

Abstract Background The thyroglobulin (Tg)/ thyroid-stimulating hormone (TSH) ratio has manifested to be a reliable marker for predicting prognosis in patients with differentiated thyroid carcinoma (DTC). The objective of this study was to compare the efficacy of Tg and Tg/TSH ratio models in predicting a successful response to radioactive iodine therapy. Methods One thousand six hundred forty-two DTC patients receiving 131I radiotherapy were finally enrolled in this retrospective study. The patients were divided into a training set (n = 973) and a validation set (n = 669) by the patient consultation time (July 2019). A receiver-operating characteristic curve was constructed for Tg and the Tg/TSH ratio to establish their cutoffs. Then, the variables were screened by univariate logistic regression and incorporated into logistic prediction models by stepwise regression, where Tg/TSH was excluded from model 1 and Tg was excluded from model 2. Results In 1642 enrolled DTC patients, the first 131I radiotherapy had an excellent response in 855 patients. The cut-offs for Tg level and Tg/TSH ratio were 3.40 ng/ mL [area under the curve (AUC): 0.789] and 36.03 ng/mIU (AUC: 0.788), respectively. In addition, the AUC of the model including Tg was higher than that of the model including Tg/TSH in both the training set (0.837 vs 0.833) and the testing set (0.854 vs 0.836). Conclusions Both Tg and Tg/TSH ratios could be considered predictors of the effects of the first 131I ablative therapy. However, the prediction model including Tg performed better than the model including Tg/TSH.

Funder

Doctoral supervisor matching funds

the Research Development Fund of The Second Hospital of Shandong University

Jinan clinical medical science and technology innovation plan

Publisher

Springer Science and Business Media LLC

Subject

General Medicine,Endocrinology, Diabetes and Metabolism

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