Novel prognostic nomogram for predicting recurrence-free survival in medullary thyroid carcinoma.
Yagiz A AksoyRonald A GhosseinKartik ViswanathanMahsa S AhadiAbir Al GhuzlanBayan A AlzumailiMohamed-Amine BaniJustine A BarlettaNicole ChauAngela ChouAdele ClarksonRoderick J Clifton-BlighAntonio De LeoSnjezana DoganIan GanlyRonald GhosseinMatti L GildAnthony R GloverJulien HadouxLivia LamartinaDaniel J LubinKelly MaglioccaFedaa NajdawiAradhya NigamAlex PapachristosAndrea RepaciBruce G RobinsonAmy SheenQiuying ShiStan B SidhuLoretta SiosonErica SolaroliMark S SywakGiovanni TalliniVenessa TsangJohn TurchiniBrian R UntchAnthony J GillTalia L FuchsPublished in: Histopathology (2024)
Using well-established clinicopathological prognostic variables, we developed and externally validated a robust multivariate prediction model for RFS in patients with resected MTC. The model demonstrates excellent predictive capability and may help guide decisions on patient management. The nomogram is freely available online at https://nomograms.shinyapps.io/MTC_ML_DFS/.