Background Radiomics can provide quantitative features from medical imaging that can be
correlated with various biological features and clinical endpoints. Delta radiomics, on the …

Prediction of outcome in patients with colorectal cancer (CRC) is challenging as a result of
lack of a robust biomarker and heterogeneity between and within tumors. The aim of this …

Over the last years, technological innovation in Radiotherapy (RT) led to the introduction of
Magnetic Resonance-guided RT (MRgRT) systems. Due to the higher soft tissue contrast …

Neoadjuvant chemo-radiotherapy (CRT) followed by total mesorectal excision (TME)
represents the standard treatment for patients with locally advanced (≥ T3 or N+) rectal …

Radiomics is a high-throughput approach to image phenotyping. It uses computer
algorithms to extract and analyze a large number of quantitative features from radiological …

Objective To investigate whether pretreatment MRI-based radiomics of locally advanced
rectal cancer (LARC) and/or the surrounding mesorectal compartment (MC) can predict …

Pancreatic cystic lesions (PCLs) are well-known precursors of pancreatic cancer. Their
diagnosis can be challenging as their behavior varies from benign to malignant disease …

Objectives We evaluate the feasibility of treatment response prediction using MRI‐based pre‐
, post‐, and delta‐radiomic features for locally advanced rectal cancer (LARC) patients …

Abstract The role of Artificial Intelligence and Machine Learning in cancer research offers
several advantages, primarily scaling up the information processing and increasing the …

Purpose Our study investigated the contribution that the application of radiomics analysis on
post-treatment magnetic resonance imaging can add to the assessments performed by an …