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Brief Title: Development of Artificial Intelligence System for Detection and Diagnosis of Breast Lesion Using Mammography
Official Title: Development of Artificial Intelligence System for Detection and Diagnosis of Breast Lesion Using Mammography
Study ID: NCT03708978
Brief Summary: This project aims to establish a comprehensive artificial intelligence system for detecting and qualitative diagnosing breast lesions. Mammary images will be used to construct a diagnosis method based on deep learning. The system is proposed to automatically analyze the type of mammary glands, automatically identify and mark all breast lesions on the mammography images, provide the malignancy probability judgment of the lesions, the BI-RADS classification and the clinical suggestion, and also automatically generate the structured diagnosis report.
Detailed Description: This is a multi-center study.The project contains a retrospective part(3000 samples anticipated) and a prospective part(7000 samples anticipated). In the retrospective part, investigators collected subjects with mammary images to design the deep learning method and construct a detective and diagnostic model for breast lesions. In the prospective part, investigators validate the accuracy of the constructed deep learning method, and established artificial intelligence system focusing on mammary diagnosis. Investigators will also explore the application pattern of the artificial intelligence system in clinical practice.
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: FEMALE
Healthy Volunteers: No
Beijing Cancer Hospital, Beijing, Beijing, China
Beijing Chao Yang Women and Children's Health Hospital, Beijing, Beijing, China
Beijing Da Xing People's Hospital, Beijing, Beijing, China
Beijing Hang Tian Centre Hospital, Beijing, Beijing, China
Beijing Nan Jiao Cancer Hospital, Beijing, Beijing, China
Beijing Shi Jing Shan Hospital, Beijing, Beijing, China
Beijing Shun Yi Qu Hospital, Beijing, Beijing, China
Beijing Shun Yi Woman and Children Health Hospital, Beijing, Beijing, China
Name: Ying-Shi Sun, Professor
Affiliation: Peking University Cancer Hospital & Institute
Role: STUDY_CHAIR