Radiomics is a promising and fast-developing field within oncology that involves the mining
of quantitative high-dimensional data from medical images. Radiomics has the potential to …

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 …

Background Accurate prediction of tumour response to neoadjuvant chemoradiotherapy
enables personalised perioperative therapy for locally advanced rectal cancer. We aimed to …

Background To analyse the performance of multicentre pre-treatment MRI-based radiomics
(MBR) signatures combined with clinical baseline characteristics and neoadjuvant treatment …

The high incidence of rectal cancer in both sexes makes it one of the most common tumors,
with significant morbidity and mortality rates. To define the best treatment option and …

Purpose Advanced medical image analytics is increasingly used to predict clinical outcome
in patients diagnosed with gastrointestinal tumors. This review provides an overview on 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 …

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 …

While cross-sectional imaging has seen continuous progress and plays an undiscussed
pivotal role in the diagnostic management and treatment planning of patients with rectal …

Background Pathological complete response after neoadjuvant chemoradiotherapy in
locally advanced rectal cancer (LARC) is achieved in 15–30% of cases. Our aim was to …