- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05640011
Clinical Validation of an Artificial Intelligence Algorithm to Help Interpret Mammograms (ALGO-MAMMO)
This aims to clinically validate, on a large population, a tumor detection aid software which has already been trained on a representative French population (from several hospital centers and liberals from several departments in the west and east of France).
This population consists of 1000 patients who have been treated for breast cancer (histologically proven by breast biopsy) and whose investigators have mammograms performed at the time of diagnosis. The control population consists of the unaffected breast of each patient (with the exception of the rare cases of bilateral cancers).
This innovative software has the main feature of recognizing healthy breast tissue, allowing the radiologist to focus on breast tissue at risk, improving the management of medical time and the management of "difficult" files.
Study Overview
Status
Conditions
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Strasbourg, France, 67091
- Service de Radiologie 1 - CHU de Strasbourg - France
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Adult woman (40 to 75 years old)
- Treatment at the University Hospitals of Strasbourg between 2010 and 2020 for breast cancer
- including mammography and histological evidence available
- Patient who has already given her consent for the reuse of her anonymous data for research purposes
Exclusion Criteria:
- Woman who expressed her opposition to participating in the study
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Only
- Time Perspectives: Retrospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Evaluate the diagnostic performance (sensitivity, specificity) for operator tumor detection assisted by mammographic diagnostic aid software, and compare it to the diagnostic performance of an unassisted operator.
Time Frame: Files analysed retrospectively from January 01, 2010 to January 01, 2020 will be examined
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This assessment is based on contouring the tumor area on mammograms.
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Files analysed retrospectively from January 01, 2010 to January 01, 2020 will be examined
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Collaborators and Investigators
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 7964
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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