Objectives Radiomic features derived from routine medical images show great potential for
personalized medicine in gastric cancer (GC). We aimed to evaluate the current status 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 …

To develop and validate a radiomics signature for the prediction of gastric cancer (GC)
survival and chemotherapeutic benefits. In this multicenter retrospective analysis, we …

Background: To evaluate whether radiomic feature-based computed tomography (CT)
imaging signatures allow prediction of lymph node (LN) metastasis in gastric cancer (GC) …

Background We evaluated the ability of radiomics based on intratumoral and peritumoral
regions on preoperative gastric cancer (GC) contrast-enhanced CT imaging to predict …

Simple Summary Part I is an overview aimed to investigate some technical principles and
the main fields of radiomic application in gastrointestinal oncologic imaging (CT and MRI) …

Objective: Radiomics, an emerging tool for medical image analysis, is potential towards
precisely characterizing gastric cancer (GC). Whether using one-slice 2D annotation or …

Purpose This work aimed to develop and validate a deep learning radiomics model for
evaluating serosa invasion in gastric cancer. Materials and Methods A total of 572 gastric …

Gastrointestinal cancer (GIC) has high morbidity and mortality as one of the main causes of
cancer death. Preoperative risk stratification is critical to guide patient management, but …

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