We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
A Data-Driven Approach to Refine Predictions of Differentiated Thyroid Cancer Outcomes: A Prospective Multicenter Study.
- Authors
Grani, Giorgio; Gentili, Michele; Siciliano, Federico; Albano, Domenico; Zilioli, Valentina; Morelli, Silvia; Puxeddu, Efisio; Zatelli, Maria Chiara; Gagliardi, Irene; Piovesan, Alessandro; Nervo, Alice; Crocetti, Umberto; Massa, Michela; Samà, Maria Teresa; Mele, Chiara; Deandrea, Maurilio; Fugazzola, Laura; Puligheddu, Barbara; Antonelli, Alessandro; Rossetto, Ruth; D'Amore, Annamaria; Ceresini, Graziano; Castello, Roberto; Solaroli, Erica; Centanni, Marco; Monti, Salvatore; Magri, Flavia; Bruno, Rocco; Sparano, Clotilde; Pezzullo, Luciano; Crescenzi, Anna; Mian, Caterina; Tumino, Dario; Repaci, Andrea; Castagna, Maria Grazia; Triggiani, Vincenzo; Porcelli, Tommaso; Meringolo, Domenico; Locati, Laura; Spiazzi, Giovanna; Di Dalmazi, Giulia; Anagnostopoulos, Aris; Leonardi, Stefano; Filetti, Sebastiano; Durante, Cosimo
- Abstract
The risk stratification of patients with differentiated thyroid cancer (DTC) is crucial in clinical decision making. The most widely accepted method to assess risk of recurrent/persistent disease is described in the 2015 American Thyroid Association (ATA) guidelines. However, recent research has focused on the inclusion of novel features or questioned the relevance of currently included features.
- Publication
The Journal of clinical endocrinology and metabolism, 2023, Vol 108, Issue 8, p1921
- ISSN
1945-7197
- Publication type
Journal Article
- DOI
10.1210/clinem/dgad075