Application of Deep-learning and Ultrasound Elastography in Opportunistic Screening of Breast Cancer
A Multi-center Study of Deep Learning Diagnosis and Ultrasound Elastography in Opportunistic Screening of Breast Cancer
Study Overview
Status
Status
Conditions
Conditions
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
-
-
Beijing
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Beijing, Beijing, China, 100730
- Peking Union Medical College Hospital
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Female over 18 years of age;
- Had breast lesions detected by ultrasound.
- No clinical symptoms such as nipple discharge, while breast lesions were not palpable.
- Received breast surgery within one week of ultrasound examination.
- Agreed to participant in this study and signed informed consent.
Exclusion Criteria:
- Patients who had received a biopsy of breast lesion before the ultrasound examination.
- Patients who were pregnant or lactating.
- Patients who were undergoing neoadjuvant treatment.
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Benign or malignant lesions as determined by pathology
Time Frame: From 2019.1.1 to 2020.1.1
|
The pathological diagnosis of benign or malignant lesions from surgery samples
|
From 2019.1.1 to 2020.1.1
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ACTUAL)
Primary Completion
Study Completion (ACTUAL)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- S-detect 2019
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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