Artificial Intelligence for Automated Diagnosis of Breast Cancer
- Conditions
- Breast Cancer Diagnosis
- Registration Number
- NCT05858762
- Lead Sponsor
- Regina Elena Cancer Institute
- Brief Summary
Mammography is a two-dimensional imaging technique which involves the tissues overlapping under the projective image; dense glandular tissue above or below the lesion can reduce the visibility of the lesion.
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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- Female
- Target Recruitment
- 200
- Patients who refer to the Regina Elena for diagnostic mammography tests
- Informed consent
- presence of prostheses, artifacts, outcomes of a study in the breast intervention under the study
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Artificial Intelligence system to detect a lesion 12 months Lesion detction is based on breast density, case type, BIRADS assessment categories, mammographic appearance, size and pathological profile of malignant lesions
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (2)
"Regina Elena" National Cancer Institute
🇮🇹Rome, Italy
Università degli Studi di Napoli Federico II
🇮🇹Napoli, Italy