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Thyroglobulin measurement is the most powerful outcome predictor in differentiated thyroid cancer: a decision tree analysis in a European multicenter series

  • Luca Giovanella EMAIL logo , Lisa Milan , Wolfgang Roll , Manuel Weber , Simone Schenke , Michael Kreissl , Alexis Vrachimis , Kim Pabst , Tuncel Murat , Petra Petranović Ovčariček , Alfredo Campenni , Rainer Görges and Luca Ceriani
Published/Copyright: May 7, 2024

Abstract

Objectives

An accurate prognostic assessment is pivotal to adequately inform and individualize follow-up and management of patients with differentiated thyroid cancer (DTC). We aimed to develop a predictive model for recurrent disease in DTC patients treated by surgery and 131I by adopting a decision tree model.

Methods

Age, sex, histology, T stage, N stage, risk classes, remnant estimation, thyroid-stimulating hormone (TSH), thyroglobulin (Tg), administered 131I activities and post-therapy whole body scintigraphy (PT-WBS) were identified as potential predictors and put into regression algorithm (conditional inference tree, c-tree) to develop a risk stratification model for predicting persistent/recurrent disease over time.

Results

The PT-WBS pattern identified a partition of the population into two subgroups (PT-WBS positive or negative for distant metastases). Patients with distant metastases exhibited lower disease-free survival (either structural, DFS-SD, and biochemical, DFS-BD, disease) compared to those without metastases. Meanwhile, the latter were further stratified into three risk subgroups based on their Tg values. Notably, Tg values >63.1 ng/mL predicted a shorter survival time, with increased DFS-SD for Tg values <63.1 and <8.9 ng/mL, respectively. A comparable model was generated for biochemical disease (BD), albeit different DFS were predicted by slightly different Tg cutoff values (41.2 and 8.8 ng/mL) compared to DFS-SD.

Conclusions

We developed a simple, accurate and reproducible decision tree model able to provide reliable information on the probability of structurally and/or biochemically persistent/relapsed DTC after a TTA. In turn, the provided information is highly relevant to refine the initial risk stratification, identify patients at higher risk of reduced structural and biochemical DFS, and modulate additional therapies and the relative follow-up.


Corresponding author: Luca Giovanella, MD, PhD, Nuclear Medicine, Gruppo Ospedaliero Moncucco, Lugano, Switzerland; and Nuclear Medicine, University Hospital Zürich, Zürich, Switzerland, Phone: 0041 (0)91 960 81 11, E-mail:

  1. Research ethics: The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). This is an observational retrospective study. The Chamber of Physicians of Westfalen-Lippe, Germany, has confirmed that no ethical approval is required and informed consent was waived.

  2. Informed consent: This is an observational retrospective study. The Chamber of Physicians of Westfalen-Lippe, Germany, has confirmed that no ethical approval is required and informed consent was waived.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Competing interests: The authors state no conflict of interest.

  5. Research funding: None declared.

  6. Data availability: The data that support the findings of this study are not openly available due to reasons of sensitivity and are available from the corresponding author upon reasonable request. Data are located in controlled access data storage at Ente Ospedaliero Cantonale, Bellinzona, Switzerland.

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Received: 2024-03-30
Accepted: 2024-04-23
Published Online: 2024-05-07
Published in Print: 2024-10-28

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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