Prediction of Early Distant Recurrence in Upfront Resectable Pancreatic Adenocarcinoma: A Multidisciplinary, Machine Learning-Based Approach

Prediction of Early Distant Recurrence in Upfront Resectable Pancreatic Adenocarcinoma: A Multidisciplinary, Machine Learning-Based Approach

Despite careful selection, the recurrence rate after upfront surgery for pancreatic adenocarcinoma can be very high. We aimed to construct and validate a model for the prediction of early distant recurrence (<12 months from index surgery) after upfront pancreaticoduodenectomy. After exclusions, 1...

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Bibliographic Details
Main Authors: Diego Palumbo, Martina Mori, Francesco Prato, Stefano Crippa, Giulio Belfiori, Michele Reni, Junaid Mushtaq, Francesca Aleotti, Giorgia Guazzarotti, Roberta Cao, Stephanie Steidler, Domenico Tamburrino, Emiliano Spezi, Antonella Del Vecchio, Stefano Cascinu, Massimo Falconi, Claudio Fiorino, Francesco De Cobelli
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Cancers
Subjects:
pancreatic adenocarcinoma
X-ray
computed tomography
machine learning
radiomics
prognosis
Online Access:https://www.mdpi.com/2072-6694/13/19/4938

Internet

https://www.mdpi.com/2072-6694/13/19/4938

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