Contrast MR-Based Radiomics and Machine Learning Analysis to Assess Clinical Outcomes following Liver Resection in Colorectal Liver Metastases: A Preliminary Study

Contrast MR-Based Radiomics and Machine Learning Analysis to Assess Clinical Outcomes following Liver Resection in Colorectal Liver Metastases: A Preliminary Study

Purpose: To assess radiomics features efficacy obtained by arterial and portal MRI phase in the prediction of clinical outcomes in the colorectal liver metastases patients, evaluating recurrence, mutational status, pathological characteristic (mucinous and tumor budding) and surgical resection margi...

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Bibliographic Details
Main Authors: Vincenza Granata, Roberta Fusco, Federica De Muzio, Carmen Cutolo, Sergio Venanzio Setola, Federica dell’ Aversana, Alessandro Ottaiano, Antonio Avallone, Guglielmo Nasti, Francesca Grassi, Vincenzo Pilone, Vittorio Miele, Luca Brunese, Francesco Izzo, Antonella Petrillo
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Cancers
Subjects:
colorectal liver metastasis
magnetic resonance imaging
radiomics
pattern recognition
outcome prediction
Online Access:https://www.mdpi.com/2072-6694/14/5/1110

Internet

https://www.mdpi.com/2072-6694/14/5/1110

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