Purpose. This study aims to develop and validate a multi-view learning method by the
combination of primary tumor radiomics and lymph node (LN) radiomics for the preoperative …

Background To develop and validate a radiomics method via integrating tumor and lymph
node radiomics for the preoperative prediction of lymph node (LN) status in gastric cancer …

Purpose To develop and validate a radiomics-based model for preoperative prediction of
lymph node metastasis (LNM) in gastric cancer (GC). Method A total of 768 GC patients …

Rationale and Objectives To develop and validate a CT-based radiomics model for
preoperative prediction of lymph node metastasis (LNM) in early stage gastric cancer (EGC) …

Objective The development of non-invasive methods for evaluating lymph node metastasis
(LNM) preoperatively in gastric cancer (GC) is necessary. In this study, we developed a new …

Background Specific diagnosis and treatment of gastric cancer (GC) require accurate
preoperative predictions of lymph node metastasis (LNM) at individual stations, such as …

Rationale and Objectives Gastric cancer (GC) is highly heterogeneous, and accurate
preoperative assessment of lymph node status remains challenging. We aimed to develop a …

Objective: To develop and evaluate a diffusion-weighted imaging (DWI)-based radiomic
nomogram for lymph node metastasis (LNM) prediction in advanced gastric cancer (AGC) …

Background Accurate prediction of lymph node metastasis stage (LNMs) facilitates precision
therapy for gastric cancer. We aimed to develop and validate a deep learning-based radio …

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