Breast Cancer Diagnosis
Conditions
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.
Interventions
DIAGNOSTIC_TESTBreast digital tomosynthesis
Introduction of an almost three-dimensional imaging technique called breast digital tomosynthesis
Sponsors
Regina Elena Cancer Institute
Study design
Observational model
OTHER
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
FEMALE
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Patients who refer to the Regina Elena for diagnostic mammography tests * Informed consent
Exclusion criteria
* presence of prostheses, artifacts, outcomes of a study in the breast intervention under the study
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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 |
Countries
Italy
Contacts
Primary ContactValeria Landoni
Outcome results
None listed