Machine learning and radiomics analysis by computed tomography in colorectal liver metastases patients for RAS mutational status prediction.

Abstract

Authors

• Vincenza Granata
  Radiology Division, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, 80131 Naples, Italy.
• Roberta Fusco
  Radiology Division, 'Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale', via Mariano Semmola 53, 80131 Naples, Italy. Electronic address: r.fusco@istitutotumori.na.it.
• Sergio Venanzio Setola
  Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli, Naples, Italy.
• Maria Chiara Brunese
  Department of Medicine and Health Sciences V. Tiberio, University of Molise, 86100, Campobasso, Italy.
• Annabella Di Mauro
  Pathological Anatomy and Cytopathology Unit, Istituto Nazionale Tumori, IRCCS Fondazione G. Pascale, 80131, Naples, Italy.
• Antonio Avallone
  Clinical Sperimental Abdominal Oncology Unit, Istituto Nazionale Tumori, IRCCS Fondazione G. Pascale, 80131, Naples, Italy.
• Alessandro Ottaiano
  SSD-Innovative Therapies for Abdominal Metastases, Istituto Nazionale Tumori di Napoli IRCCS "G. Pascale", Via M. Semmola, Naples 80131, Italy.
• Nicola Normanno
  IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014, Mendola, Italy.
• Antonella Petrillo
  Radiology Division, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, 80131 Naples, Italy.
• Francesco Izzo
  Division of Epatobiliary Surgical Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli, 80131, Naples, Italy.

Keywords

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