# Review of Prognostic Significance of Quantitative BPE Measurements

**Authors:** Jeremy Weiss, Emily Hunt, Yihui Zhu, Tim Q. Duong, Takouhie Maldjian

PMC · DOI: 10.3390/diagnostics16030495 · 2026-02-06

## TL;DR

This review examines how measuring background parenchymal enhancement in breast MRI can predict breast cancer treatment outcomes and recurrence risk.

## Contribution

The paper evaluates the prognostic value of quantitative BPE measurements in breast cancer treatment prediction.

## Key findings

- BPE reduction during chemotherapy is linked to better treatment response.
- High baseline BPE is associated with lower recurrence risk.
- Quantitative BPE assessments provide objective and reproducible prognostic data.

## Abstract

Background/Objectives: Background parenchymal enhancement (BPE) on breast magnetic resonance imaging reflects hormonal and vascular activity of fibroglandular tissue and is studied as a prognostic marker for breast cancer. This paper serves as a review that evaluates quantitative methods for BPE measurements for predicting treatment outcomes. Methods: PubMed was searched for papers on evaluating BPE with outcomes to compare, such as pathologic complete response, recurrence-free survival, disease-free survival, and overall survival, from 2015 to 2025. In total, eleven papers using quantitative methods to measure BPE were selected. Results: Quantitative results showed that BPE reduction during neoadjuvant chemotherapy and high pre-treatment/baseline BPE are linked to improved treatment response and reduced risk of recurrence. Conclusions: Quantitative assessment methods yield objective and reproducible prognostic information. Incorporating quantitative BPE measurements alongside tumor-focused imaging features may further improve predictive accuracy in clinical settings.

## Linked entities

- **Diseases:** breast cancer (MONDO:0004989)

## Full-text entities

- **Diseases:** tumor (MESH:D009369), breast cancer (MESH:D001943)

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12896459/full.md

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Source: https://tomesphere.com/paper/PMC12896459