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

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ENROLLING_BY_INVITATION

Total Enrollment

213 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-05-01

Study Completion Date

2025-02-28

Brief Summary

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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.

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Detailed Description

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Conditions

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Breast Parenchimal Enhancement Artificial Intelligence (AI)

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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patiens underwent CEM

No interventions assigned to this group

Eligibility Criteria

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Exclusion Criteria

Patients with prior breast cancer treatment that could alter BPE.

Incomplete imaging or missing classification data.

Contraindications to contrast-enhanced imaging.

Minimum Eligible Age

18 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

No