Objective The aim of this study was the evaluation radiomics analysis efficacy performed
using computed tomography (CT) and magnetic resonance imaging in the prediction of …

To assess Radiomics and Machine Learning Analysis in Liver Colon and Rectal Cancer
Metastases (CRLM) Growth Pattern, we evaluated, retrospectively, a training set of 51 …

Purpose The purpose of this study is to evaluate the Radiomics and Machine Learning
Analysis based on MRI in the assessment of Liver Mucinous Colorectal Metastases. Query …

Simple Summary The objective of the study was to evaluate the radiomics features obtained
by contrast MRI studies as prognostic biomarkers in colorectal liver metastases patients to …

Simple Summary The objective of the study was to assess the radiomic features obtained by
computed tomography (CT) examination as prognostic biomarkers in patients with colorectal …

Purpose To assess the efficacy of radiomics features obtained by T2-weighted sequences to
predict clinical outcomes following liver resection in colorectal liver metastases patients …

Purpose Early identification of patients at risk of developing colorectal liver metastases can
help personalizing treatment and improve oncological outcome. The aim of this study was to …

Simple Summary The aim of this study was to assess the efficacy of radiomics features
obtained by EOB-MRI phase in order to predict clinical outcomes following liver resection in …

Background This article aims to develop and assess the radiomics paradigm for predicting
colorectal cancer liver metastasis (CRLM) from the primary tumor. Methods This …

Background To better select patients with colorectal liver metastases (CRLM) for an optimal
selection of treatment strategy (ie local, systemic or combined treatment) new prognostic …