AI-Based Prediction of Lymph Node Metastasis in Gastric Cancer Using Preoperative Multimodal Data

Enrolling by invitationOBSERVATIONAL
Enrollment

1,200

Participants

Timeline

Start Date

January 1, 2025

Primary Completion Date

December 31, 2025

Study Completion Date

December 31, 2025

Conditions
Gastric Cancer Adenocarcinoma MetastaticLymph Node MetastasisArtificial Intelligence (AI) in Diagnosis
Interventions
DIAGNOSTIC_TEST

Artificial Intelligence-Based Predictive Model for Lymph Node Metastasis

The intervention is an artificial intelligence-based predictive model developed using preoperative multimodal data, including contrast-enhanced CT images, preoperative histopathological findings, and clinical features. The model is designed to predict (1) the presence or absence of lymph node metastasis, (2) the specific lymph node stations involved, and (3) the individual lymph nodes involved. Each lymph node's metastatic status is confirmed by serial pathological sectioning of surgically retrieved nodes, ensuring a highly accurate reference standard for model training and validation. This distinguishes the intervention from traditional imaging-based assessments and from other AI models that do not use individually validated lymph node pathology.

Trial Locations (1)

050011

the Fourth Hospital of Hebei Medical University, Shijiazhuang

All Listed Sponsors
collaborator

Renmin Hospital of Wuhan University

OTHER

collaborator

Nanjing University School of Medicine

OTHER

collaborator

Baoding First Central Hospital

OTHER

collaborator

Hengshui People's Hospital

OTHER

collaborator

No.1 Hospital of Shijiazhuang City

UNKNOWN

collaborator

The Second Affiliated Hospital of Xingtai Medical College

UNKNOWN

lead

Qun Zhao

OTHER