Prediction of Non-sentinel Lymph Node Metastatic Status of Breast Cancer Based on Pathology-MRI Images

The goal of this observational study is to develop an artificial intelligence model based on pathology and magnetic resonance imaging (MRI) images to predict the metastatic status of non-sentinel lymph nodes in patients with breast cancer sentinel lymph node metastasis. The main questions it aims to answer are: Can an artificial intelligence model based on MRI images of breast cancer patients predict the non-sentinel lymph node metastatic status in patients with breast cancer sentinel lymph node metastasis? Can an artificial intelligence model based on intraoperative frozen section images of sentinel lymph nodes in breast cancer patients predict the non-sentinel lymph node metastasis status in patients with sentinel lymph node metastasis from breast cancer? Can artificial intelligence models based on preoperative MRI and intraoperative frozen section images of sentinel lymph nodes in breast cancer patients predict the non-sentinel lymph node metastatic status in patients with sentinel lymph node metastasis from breast cancer? Researchers will retrospectively and prospectively collect preoperative MRI and intraoperative sentinel lymph node section images from breast cancer patients.

NCT Number	NCT06510738
Lead Sponsor	Yunnan Cancer Hospital Collaborators: Affiliated Cancer Hospital of Shantou University Medical College
Conditions	Breast Cancer, Artificial Intelligence, Lymph Node Metastasis, Digital Pathology
Enrollment	700 participants
Start Date	2024-08
Primary Completion	2025-06 (estimated)
Study Completion	2025-12 (estimated)
Updated on ClinicalTrials.gov	2024-08-13