The aim of our study was to perform a simplified radiomic analysis of pancreatic ductal adenocarcinoma based on qualitative and quantitative tumor features and to compare the results with different muted genes, in particular with KRAS and TP53 expression, in order to predict the outcome and, in future, to direct the therapeutic path.

Radiogenomics of Pancreatic Ductal AdenoCarcinoma

Chiara Longo
;
Luca Geraci
;
Luisa Tomaiuolo
;
Daniele Autelitano
;
Marco Todesco
;
Vittoria Rossi;Francesco Cicalò;Francesco Verrengia;Mirko D'Onofrio
2022

Abstract

The aim of our study was to perform a simplified radiomic analysis of pancreatic ductal adenocarcinoma based on qualitative and quantitative tumor features and to compare the results with different muted genes, in particular with KRAS and TP53 expression, in order to predict the outcome and, in future, to direct the therapeutic path.
Artificial Intelligence, Oncology, Pancreas, CT, MR, Experimental investigations, Outcomes analysis, Radiobiology, Tissue characterisation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1075328
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