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AI-Enhanced Analysis of Breast Density and Background Parenchymal Enhancement (BPE)

NCT06838130 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 213

Last updated 2025-02-20

No results posted yet for this study

Summary

This study expands upon previous research investigating the correlation between breast density, Background Parenchymal Enhancement (BPE), and age in contrast-enhanced mammography (CEM). By integrating Artificial Intelligence (AI) methodologies, including Artificial Neural Networks (ANNs) and deep learning models, the study aims to optimize the accuracy of predictions and validate prior findings obtained through multiple linear regression.

Conditions

  • Breast Parenchimal Enhancement
  • Artificial Intelligence (AI)

Sponsors & Collaborators

  • University of Campania Luigi Vanvitelli

    collaborator OTHER

  • Link Campus University

    lead OTHER

Eligibility

Min Age
18 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-05-01
Primary Completion
2023-06-30
Completion
2025-02-28

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 NCT06838130 on ClinicalTrials.gov