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.
Study Type
OBSERVATIONAL
Enrollment
200
Introduction of an almost three-dimensional imaging technique called breast digital tomosynthesis
Università degli Studi di Napoli Federico II
Napoli, Italy
RECRUITING"Regina Elena" National Cancer Institute
Rome, Italy
RECRUITINGArtificial Intelligence system to detect a lesion
Lesion detction is based on breast density, case type, BIRADS assessment categories, mammographic appearance, size and pathological profile of malignant lesions
Time frame: 12 months
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