Simple Summary Worldwide gastrointestinal (GI) malignancies account for about 25% of the
global cancer incidence. For some malignancies, screening programs, such as routine colon …

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 …

Rectal cancer is a relatively common malignancy in the United States. Magnetic resonance
imaging (MRI) of rectal cancer has evolved tremendously in recent years, and has become a …

Objectives To investigate the feasibility and efficacy of a deep-learning (DL)-based three-
dimensional (3D) super-resolution (SR) MRI radiomics model for preoperative T-staging …

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 …

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 …

Purpose To establish and validate two predictive radiomics models for preoperative
prediction of lymph node metastases (LNMs) and tumor deposits (TDs) respectively in rectal …

Rationale and Objectives To investigate the capability of delta-radiomics to predict
pathological complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT) in …

Objectives To compare multiparameter MRI-based radiomics for preoperative prediction of
extramural venous invasion (EMVI) in rectal cancer using different machine learning …

Simple Summary Structured reporting in oncologic imaging is becoming necessary and has
recently been recognized by major scientific societies. Structured reports collect all Patient …