Machine Learning and Radiomics Analysis for Tumor Budding Prediction in Colorectal Liver Metastases Magnetic Resonance Imaging Assessment

Machine Learning and Radiomics Analysis for Tumor Budding Prediction in Colorectal Liver Metastases Magnetic Resonance Imaging Assessment

Purpose: We aimed to assess the efficacy of machine learning and radiomics analysis using magnetic resonance imaging (MRI) with a hepatospecific contrast agent, in a pre-surgical setting, to predict tumor budding in liver metastases. Methods: Patients with MRI in a pre-surgical setting were retrospe...

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Bibliographic Details
Main Authors: Vincenza Granata, Roberta Fusco, Maria Chiara Brunese, Gerardo Ferrara, Fabiana Tatangelo, Alessandro Ottaiano, Antonio Avallone, Vittorio Miele, Nicola Normanno, Francesco Izzo, Antonella Petrillo
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Diagnostics
Subjects:
machine learning
radiomic analysis
liver metastases
magnetic resonance imaging
tumor budding
Online Access:https://www.mdpi.com/2075-4418/14/2/152

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https://www.mdpi.com/2075-4418/14/2/152

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