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 …

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 Accurate prognostic markers are urgently needed to identify diffuse large B-Cell
lymphoma (DLBCL) patients at high risk of progression or relapse. Our purpose was to …

Background Accurate predictions of distant metastasis (DM) in locally advanced rectal
cancer (LARC) patients receiving neoadjuvant chemoradiotherapy (nCRT) are helpful in …

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

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 …

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 …

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 …

Background To develop and validate a survival model with clinico-biological features and
18F-FDG PET/CT radiomic features via machine learning, and for predicting the prognosis …

Background: Conventional methods for predicting treatment response to neoadjuvant
chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC) are …