Skip to main content

Advertisement

Log in

The Impact of Bilateral Salpingo-Oophorectomy on Breast MRI Background Parenchymal Enhancement and Fibroglandular Tissue

  • Breast
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objective

The objective of this study was to evaluate the effect of bilateral salpingo-oophorectomy (BSO) on background parenchymal enhancement (BPE) and the amount of fibroglandular tissue (FGT) seen on breast MRI.

Methods

Retrospective review identified 21 BRCA mutation carriers who underwent breast MRI before and after elective BSO. After exclusion of patients placed on postoperative hormone replacement therapy, there were 18 eligible patients. Blinded to surgical status, three independent readers used categorical scales to rate BPE (minimal, mild, moderate, marked) and the amount of FGT (fatty, scattered, heterogeneously dense, dense) on pre- and post-BSO MRI examinations. The sign test was used to assess for changes in the categorical ratings of BPE and FGT.

Results

Significant proportions of women demonstrated decreases in BPE and in the amount of FGT following oophorectomy (P = 0.004 and 0.02, respectively.) BPE decreases were larger and seen earlier than FGT changes. There was no significant relationship between age/body mass index and changes in BPE and FGT.

Conclusions

BPE and the amount of FGT seen on breast MRI are significantly decreased by oophorectomy; BPE decreases to a greater extent and earlier than FGT.

Key Points

Background parenchymal enhancement significantly decreases at breast MRI following oophorectomy.

Fibroglandular tissue significantly decreases on breast MRI following oophorectomy.

Decrease in background parenchymal enhancement is greater than in fibroglandular tissue.

Decrease in background parenchymal enhancement occurs earlier than in fibroglandular tissue.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Saslow D, Boetes C, Burke W et al (2007) American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography. CA Cancer J Clin 57:75–89

    Article  PubMed  Google Scholar 

  2. Antoniou A, Pharoah PD, Narod S et al (2003) Average risks of breast and ovarian cancer associated with BRCA1 or BRCA2 mutations detected in case Series unselected for family history: a combined analysis of 22 studies. Am J Hum Genet 72:1117–1130

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  3. Chen S, Parmigiani G (2007) Meta-analysis of BRCA1 and BRCA2 penetrance. J Clin Oncol : Off J Am Soc Clin Oncol 25:1329–1333

    Article  Google Scholar 

  4. Morris EA (2007) Diagnostic breast MR imaging: current status and future directions. Radiol Clin N Am 45:863–880, vii

    Article  PubMed  Google Scholar 

  5. Kuhl CK, Bieling HB, Gieseke J et al (1997) Healthy premenopausal breast parenchyma in dynamic contrast-enhanced MR imaging of the breast: normal contrast medium enhancement and cyclical-phase dependency. Radiology 203:137–144

    CAS  PubMed  Google Scholar 

  6. Muller-Schimpfle M, Ohmenhauser K, Stoll P, Dietz K, Claussen CD (1997) Menstrual cycle and age: influence on parenchymal contrast medium enhancement in MR imaging of the breast. Radiology 203:145–149

    CAS  PubMed  Google Scholar 

  7. Hussain Z, Roberts N, Whitehouse GH, Garcia-Finana M, Percy D (1999) Estimation of breast volume and its variation during the menstrual cycle using MRI and stereology. B J Radiol 72:236–245

    CAS  Google Scholar 

  8. Graham SJ, Stanchev PL, Lloyd-Smith JO, Bronskill MJ, Plewes DB (1995) Changes in fibroglandular volume and water content of breast tissue during the menstrual cycle observed by MR imaging at 1.5 T. J Magn Reson Imaging : JMRI 5:695–701

    Article  CAS  PubMed  Google Scholar 

  9. Delille JP, Slanetz PJ, Yeh ED, Kopans DB, Halpern EF, Garrido L (2005) Hormone replacement therapy in postmenopausal women: breast tissue perfusion determined with MR imaging—initial observations. Radiology 235:36–41

    Article  PubMed  Google Scholar 

  10. Harvey JA, Santen RJ, Petroni GR et al (2008) Histologic changes in the breast with menopausal hormone therapy use: correlation with breast density, estrogen receptor, progesterone receptor, and proliferation indices. Menopause 15:67–73

    PubMed  Google Scholar 

  11. Pfleiderer SO, Sachse S, Sauner D et al (2004) Changes in magnetic resonance mammography due to hormone replacement therapy. Breast Cancer Res : BCR 6:R232–R238

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  12. King V, Gu Y, Kaplan JB, Brooks JD, Pike MC, Morris EA (2012) Impact of menopausal status on background parenchymal enhancement and fibroglandular tissue on breast MRI. Eur Radiol 22:2641–2647

    Article  PubMed  Google Scholar 

  13. King V, Kaplan J, Pike MC et al (2012) Impact of tamoxifen on amount of fibroglandular tissue, background parenchymal enhancement, and cysts on breast magnetic resonance imaging. Breast J 18:527–534

    Article  CAS  PubMed  Google Scholar 

  14. Eng-Wong J, Orzano-Birgani J, Chow CK et al (2008) Effect of raloxifene on mammographic density and breast magnetic resonance imaging in premenopausal women at increased risk for breast cancer. Cancer Epidemiol Biomark Prev : Publ Am Assoc Cancer Res Cosponsored Am Soc Prev Oncol 17:1696–1701

    Article  CAS  Google Scholar 

  15. King V, Goldfarb SB, Brooks JD et al (2012) Effect of aromatase inhibitors on background parenchymal enhancement and amount of fibroglandular tissue at breast MR imaging. Radiology 264:670–678

    Article  PubMed  Google Scholar 

  16. King V, Brooks JD, Bernstein JL, Reiner AS, Pike MC, Morris EA (2011) Background parenchymal enhancement at breast MR imaging and breast cancer risk. Radiology 260:50–60

    Article  PubMed  Google Scholar 

  17. D'Orsi CJ, Mendelson EB, Ikeda DM et al (2003) Breast Imaging Reporting and Data System: ACR BI-RADS—Breast Imaging Atlas. American College of Radiology, Reston, VA

    Google Scholar 

  18. Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33:159–174

    Article  CAS  PubMed  Google Scholar 

  19. Rebbeck TR, Kauff ND, Domchek SM (2009) Meta-analysis of risk reduction estimates associated with risk-reducing salpingo-oophorectomy in BRCA1 or BRCA2 mutation carriers. J Natl Cancer Inst 101:80–87

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  20. Fakkert IE, Mourits MJ, Jansen L et al (2012) Breast cancer incidence after risk-reducing salpingo-oophorectomy in BRCA1 and BRCA2 mutation carriers. Cancer Prev Res (Phila) 5:1291–1297

    Article  CAS  Google Scholar 

  21. Berliner JL, Fay AM (2007) Risk assessment and genetic counseling for hereditary breast and ovarian cancer: recommendations of the National Society of Genetic Counselors. J Genet Couns 16:241–260

    Article  PubMed  Google Scholar 

  22. Ciatto S, Houssami N, Apruzzese A et al (2005) Categorizing breast mammographic density: intra- and interobserver reproducibility of BI-RADS density categories. Breast 14:269–275

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to E. R. Price.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Price, E.R., Brooks, J.D., Watson, E.J. et al. The Impact of Bilateral Salpingo-Oophorectomy on Breast MRI Background Parenchymal Enhancement and Fibroglandular Tissue. Eur Radiol 24, 162–168 (2014). https://doi.org/10.1007/s00330-013-2993-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-013-2993-9

Keywords

Navigation