1,200
Participants
Start Date
January 1, 2025
Primary Completion Date
December 31, 2025
Study Completion Date
December 31, 2025
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.
the Fourth Hospital of Hebei Medical University, Shijiazhuang
Renmin Hospital of Wuhan University
OTHER
Nanjing University School of Medicine
OTHER
Baoding First Central Hospital
OTHER
Hengshui People's Hospital
OTHER
No.1 Hospital of Shijiazhuang City
UNKNOWN
The Second Affiliated Hospital of Xingtai Medical College
UNKNOWN
Qun Zhao
OTHER