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

Link Campus University

Status: Invitation-only

Conditions: Breast Parenchimal Enhancement; Artificial Intelligence (AI)

Study type: Observational

Funder types: Other

Identifiers

NCT06838130

T_6_2025

Details and patient eligibility

About

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.

Enrollment: 213 estimated patients

Sex: Female

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion and exclusion criteria

Patients who underwent CEM, mammography, and ultrasound between May 2022 and June 2023.

Availability of BPE assessment, BI-RADS density classification, and age data.

Complete dataset available for statistical and AI-based analysis.

Exclusion Criteria:

Patients with prior breast cancer treatment that could alter BPE.

Incomplete imaging or missing classification data.

Contraindications to contrast-enhanced imaging.

Trial design

213 participants in 1 patient group

patiens underwent CEM