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A Single-arm, Prospective, Multi-center Cohort Study Based on Deep Learning-based cfDNA Fragment Omics to Verify the TuFEst Model for the Staging Diagnosis of Breast Cancer Lesions and Lymph Nodes
Sponsor: Second Affiliated Hospital, School of Medicine, Zhejiang University
Summary
Through the research of this project, we expect to achieve the cfDNA fragment omics liquid biopsy technology based on deep learning, verify the accuracy of the TuFEst model in predicting the tumor burden status of breast cancer lesions and lymph nodes in newly diagnosed breast cancer patients and those receiving neoadjuvant therapy, and provide a theoretical basis for large-scale clinical application in the future
Key Details
Gender
FEMALE
Age Range
18 Years - 70 Years
Study Type
OBSERVATIONAL
Enrollment
269
Start Date
2025-12-01
Completion Date
2027-12-31
Last Updated
2025-12-26
Healthy Volunteers
No
Conditions
Interventions
No Intervention: Observational Cohort
No Intervention: Observational Cohort