Luca Giovanella, Lisa Milan, Wolfgang Roll, Manuel Weber, Simone Schenke, Michael Kreissl, Alexis Vrachimis, Kim Pabst, Tuncel Murat, Petra Petranović Ovčariček, Alfredo Campenni, Rainer Görges, Luca Ceriani
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 131 I 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 131 I 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...
May 7, 2024: Clinical Chemistry and Laboratory Medicine: CCLM