Artificial Intelligence for Automated Diagnosis of Breast Cancer
NCT ID: NCT05858762
Last Updated: 2023-05-15
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
200 participants
OBSERVATIONAL
2020-10-20
2023-12-31
Brief Summary
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The trouble could be the interpretation of the image obtained which may lead to the inability to visualize a fist stage cancer and the probability that to a healthy person will be diagnosed a pathology that is not present (false positive). The introduction of an almost three-dimensional technique imaging called breast digital tomosynthesis (DBT) can overcome most limitations. In the last 5 years image analysis methods based on Artificial Intelligence (, AI) have also been massively introduced in breast cancer detection. The study is a prospective observational study based on Artificial intelligence whose the mail goal is to develop a method to identify a lesion.
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Detailed Description
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Conditions
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Study Design
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OTHER
PROSPECTIVE
Interventions
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Breast digital tomosynthesis
Introduction of an almost three-dimensional imaging technique called breast digital tomosynthesis
Eligibility Criteria
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Inclusion Criteria
* Informed consent
Exclusion Criteria
18 Years
FEMALE
No
Sponsors
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Regina Elena Cancer Institute
OTHER
Responsible Party
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Locations
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Università degli Studi di Napoli Federico II
Napoli, , Italy
"Regina Elena" National Cancer Institute
Rome, , Italy
Countries
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Central Contacts
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Facility Contacts
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Giovanni Mettivier
Role: primary
Other Identifiers
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RS1414/20
Identifier Type: -
Identifier Source: org_study_id
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