Retrospective Study Using AI and MRI to Improve Detection of Lymph Node Metastases in Breast Cancer Patients

What this Trial Is About

Researchers are investigating a new method to improve the detection of lymph node involvement in patients with breast cancer. This retrospective observational study focuses on using an integrative multidata approach IMA, which combines clinical and laboratory data with multiparametric MRI images. The study aims to enhance accuracy over MRI alone and also monitor changes in lymph node status during neoadjuvant therapy. The study uses existing data from breast cancer patients who had MRI scans and axillary lymph node biopsies or surgeries. It includes patients of all genders and stages I-III who underwent neoadjuvant therapy and have longitudinal imaging data available. This approach allows researchers to assess lymph node metastases and track therapy effects over up to two years. Participants clinical characteristics, laboratory results, and MRI images are analyzed to compare the accuracy of lymph node involvement detection using the combined data versus MRI alone. The study also evaluates how lymph node changes relate to overall survival and progression-free survival. This long-term monitoring helps understand treatment impact and disease progression over two years.

Precision Retrospective Integrative Study for Metastatic Lymph Nodes in Breast Cancer