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NOT YET RECRUITING
NCT07304934

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

View on ClinicalTrials.gov

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

OTHER

No Intervention: Observational Cohort

No Intervention: Observational Cohort