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

Purpose The aim of this study is to determine if radiomics features extracted from staging
magnetic resonance (MR) images could predict 2-year long-term clinical outcome in patients …

Radiomics analyses commonly apply imaging features of different complexity for the
prediction of the endpoint of interest. However, the prognostic value of each feature class is …

The evaluation of the efficacy of different therapies is of paramount importance for the
patients and the clinicians in oncology, and it is usually possible by performing imaging …

Introduction: Pancreatic cancer (PC) is one of the most aggressive tumours, and better risk
stratification among patients is required to provide tailored treatment. The meaning of …

Background Neoadjuvant chemoradiation therapy (nCRT) is the standard treatment modality
in locally advanced rectal cancer (LARC). Since response to radiotherapy (RT) is dose …

Colorectal cancer is the third most common type of cancer, with high morbidity and mortality
rates. In particular, locally advanced rectal cancer (LARC) is difficult to treat and has a high …

Rectal cancer (RC) is one of the most common tumours worldwide in both males and
females, with significant morbidity and mortality rates, and it accounts for approximately one …

Simple Summary The present study aimed to investigate the possible use of MRI delta
texture analysis (D-TA) in order to predict the extent of pathological response in patients with …

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