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Artificial Intelligence for Automated Diagnosis of Breast Cancer

NCT05858762 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2023-05-15

No results posted yet for this study

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.

Conditions

  • Breast Cancer Diagnosis

Interventions

DIAGNOSTIC_TEST

Breast digital tomosynthesis

Introduction of an almost three-dimensional imaging technique called breast digital tomosynthesis

Sponsors & Collaborators

  • Regina Elena Cancer Institute

    lead OTHER

Eligibility

Min Age
18 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-10-20
Primary Completion
2022-11-25
Completion
2023-12-31

Countries

  • Italy

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05858762 on ClinicalTrials.gov