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European Radiology

, Volume 29, Issue 3, pp 1187–1193 | Cite as

Background parenchymal enhancement in pregnancy-associated breast cancer: a hindrance to diagnosis?

  • Jana TaronEmail author
  • Sabrina Fleischer
  • Heike Preibsch
  • Konstantin Nikolaou
  • Ines Gruber
  • Sonja Bahrs
Breast
  • 148 Downloads

Abstract

Purpose

The purpose of this study is to investigate the detectability of pregnancy-associated breast cancer (PABC) in lactating glandular tissue on magnetic resonance imaging (MRI) by using pre- and post-contrast acquisitions and their derived postprocessed images and compare these results to ultrasound (US) and mammography (MG).

Materials and methods

We reviewed the electronic database for women with PABC and existing breast MRI. MR images (T2-weighted short inversion-recovery sequence [STIR], dynamic contrast-enhanced T1-weighted gradient echo sequence and postprocessed subtraction images [early post-contrast minus pre-contrast]) were retrospectively evaluated (image quality, parenchymal/tumour enhancement kintetics, tumour size and additional lesions). Supplemental subtraction images (latest post-contrast minus early post-contrast) to reduce plateau enhancement were additionally calculated and tumour conspicuity and size were measured. Findings were compared to US and MG reports.

Results

Nineteen patients (range 27–42 years) were included. Background parenchymal enhancement (BPE) was minimal (n=1), mild (n=3), moderate (n=7) and marked (n=8) with kinetics measured plateau (n=8), continuous (n=10) and not quantifiable (n=1). Tumour kinetics presented wash-out (n=17) and plateau (n=2). Eighteen of nineteen tumours were identified on the supplemental subtraction images. All tumours were visible on US; 12/19 were visible on MG (63.2%). MRI detected additional malignant lesions in two patients.

Conclusion

Despite high BPE of the lactating breast, MRI securely detects carcinomas and identifies satellite lesions. By using supplemental subtraction images, background enhancement can be eliminated to facilitate diagnosis. US remains a reliable diagnostic tool, but additional MRI is recommended to rule out satellite/contralateral lesions. MG interpretations can be difficult due to high parenchymal density.

Key Points

Despite high background enhancement, MRI of the breast confidently detects carcinomas and identifies further lesions in the lactating breast.

By using supplemental subtraction images, background enhancement in the lactating breast can be eliminated to facilitate diagnosis.

US remains a reliable diagnostic tool. Mammography can be limited due to extremely dense breast tissue related to lactation.

Keywords

Breast cancer Pregnancy Magnetic resonance imaging 

Abbreviations

ACR

American College of Radiology

BCT

Breast conserving therapy

BI-RADS®

Breast Imaging Reporting and Data System

ER

Estrogen receptor

FOV

Field-of-View

HER2

Human epidermal growth factor receptor 2

MG

Mammography

MIP

Maximum intensity projection

MRI

Magnetic resonance imaging

NST

Invasive ductal carcinoma of no special type

PBAC

Pregnancy-associated breast cancer

PR

Progesterone receptor

T

Tesla

TE

Echo time

TI

Inversion time

TR

Repetition time

US

Ultrasound

Notes

Funding

The authors state that this work has not received any funding.

Compliance with ethical standards

Guarantor

The scientific guarantor of this publication is Dr. med. Sonja Bahrs.

Conflict of interest

The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was waived by the Institutional Review Board.

Ethical approval

Institutional Review Board approval was obtained.

Methodology

• retrospective

• observational

• performed at one institution

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Copyright information

© European Society of Radiology 2018

Authors and Affiliations

  • Jana Taron
    • 1
    Email author
  • Sabrina Fleischer
    • 1
  • Heike Preibsch
    • 1
  • Konstantin Nikolaou
    • 1
  • Ines Gruber
    • 2
  • Sonja Bahrs
    • 1
  1. 1.Department of Diagnostic and Interventional RadiologyUniversity Hospital TuebingenTuebingenGermany
  2. 2.Gynecology and ObstetricsUniversity Hospital TuebingenTuebingenGermany

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