Use of Machine-Learning Algorithms in Intensified Preoperative Therapy of Pancreatic Cancer to Predict Individual Risk of Relapse

Use of Machine-Learning Algorithms in Intensified Preoperative Therapy of Pancreatic Cancer to Predict Individual Risk of Relapse

Background: Although surgical resection is the only potentially curative treatment for pancreatic cancer (PC), long-term outcomes of this treatment remain poor. The aim of this study is to describe the feasibility of a neoadjuvant treatment with induction polychemotherapy (IPCT) followed by chemorad...

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Main Authors: Pablo Sala Elarre, Esther Oyaga-Iriarte, Kenneth H. Yu, Vicky Baudin, Leire Arbea Moreno, Omar Carranza, Ana Chopitea Ortega, Mariano Ponz-Sarvise, Luis D. Mejías Sosa, Fernando Rotellar Sastre, Blanca Larrea Leoz, Yohana Iragorri Barberena, Jose C. Subtil Iñigo, Alberto Benito Boíllos, Fernando Pardo, Javier Rodríguez Rodríguez
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Cancers
Subjects:
pancreatic
resectable
neoadjuvant chemotherapy
neoadjuvant chemoradiation
machine-learning
model-based prediction
Online Access:https://www.mdpi.com/2072-6694/11/5/606

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https://www.mdpi.com/2072-6694/11/5/606

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