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Brief Title: Exploring a Breast Cancer Early Screening Model Based on cfDNA
Official Title: Scientific Research on Exploring a Breast Cancer Early Screening Model Using cfDNA Multi-omics Liquid Biopsy Technology Based on Deep Learning
Study ID: NCT06016790
Brief Summary: The goal of this observational study is to use cfDNA multi-omics technology to explore a new breast cancer early detection model to improve the accuracy of early diagnosis in breast cancer patients. The main questions it aims to answer are: * Evaluate the sensitivity and specificity of the early detection model for breast cancer screening * Evaluate participants' TeFei™ score Participants will be collected peripheral venous blood before surgery or systemic treatment. The blood will then be sent to the collaboration company for sequencing. The collaboration company will analyze the sequencing results and build a cfDNA multi-omics signature library. Finally, the collaboration company will use deep learning algorithms to train and optimize the feature library. Researchers will compare the cancer group with a benign control group to determine the model's effectiveness in differentiating between them.
Detailed Description:
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
Affiliated Hangzhou First People's Hospital ,Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
Sir Run Run Shaw Hospital Affiliated With Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
Women's Hospital School Of Medicine Zhejiang University, Hangzhou, Zhejiang, China
Zhejiang Provincial Hospital Of Traditional Chinese Medicine, Hangzhou, Zhejiang, China
Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
Ningbo Medical Center Lihuili Hospital, Ningbo, Zhejiang, China
Name: Chao Ni
Affiliation: Second Affiliated Hospital of Zhejiang University School of Medicine
Role: PRINCIPAL_INVESTIGATOR