Status:
UNKNOWN
Using Deep Learning Methods to Analyze Automated Breast Ultrasound and Hand-held Ultrasound Images, to Establish a Diagnosis, Therapy Assessment and Prognosis Prediction Model of Breast Cancer.
Lead Sponsor:
The First Affiliated Hospital of the Fourth Military Medical University
Collaborating Sponsors:
Seoul National University Bundang Hospital
Xidian University
Conditions:
Breast Cancer
Eligibility:
FEMALE
18+ years
Brief Summary
The purpose of this study is using a deep learning method to analyze the automated breast ultrasound (ABUS) and hand-held ultrasound(HHUS) images, establish and evaluate a diagnosis, therapy assessmen...
Detailed Description
1. Establishing a database By collecting ABUS, HHUS and comprehensive breast images data, essential information, clinical treatment information, prognosis, and curative effect information, a complete ...
Eligibility Criteria
Inclusion
- Female patients over 18 years old who come to the two centers for physical examination or treatment;
- Complete basic information and image data
Exclusion
- There is no complete ABUS and HHUS images data;
- The image quality is poor;
- In multifocal breast cancer, the correlation between the tumor in the image and the postoperative pathological examination is uncertain.
Key Trial Info
Start Date :
February 1 2020
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
September 1 2024
Estimated Enrollment :
10000 Patients enrolled
Trial Details
Trial ID
NCT04270032
Start Date
February 1 2020
End Date
September 1 2024
Last Update
January 27 2022
Active Locations (1)
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1
The First Affiliated Hospital of Fourth Military Medical University
Xi'an, Shaanxi, China, 710000