Dynamic Prediction of Rectal Cancer Relapse and Mortality Using a Landmarking-Based Machine Learning Model: A Multicenter Retrospective Study from the Italian Society of Surgical Oncology—Colorectal Cancer Network Collaborative Group.

Simple Summary: Rectal cancer relapse after curative surgery usually results in poorer survival and quality of life, so early identification of patients at high risk of relapse from rectal tumors is crucial. It is essential to offer risk-based recommendations that address the unique needs of survivo...

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Bibliographic Details

Published in:	Cancers Vol. 17; no. 8; pp. 1294 - 1315
Main Authors:	Reddavid, Rossella, Elmore, Ugo, Moro, Jacopo, De Nardi, Paola, Biondi, Alberto, Persiani, Roberto, Solaini, Leonardo, Pafundi, Donato P., Cianflocca, Desiree, Sasia, Diego, Milone, Marco, Turri, Giulia, Mineccia, Michela, Pecchini, Francesca, Gallo, Gaetano, Rega, Daniela, Gili, Simona, Maiello, Fabio, Barberis, Andrea, Costanzo, Federico
Format:	research tables/charts Journal Article
Published:	MDPI Apr2025
Online Access:	View this record in EBSCOhost