Literature DB >> 24025928

Patterns of nonmasslike enhancement at screening breast MR imaging of high-risk premenopausal women.

Catherine S Giess1, Sughra Raza, Robyn L Birdwell.   

Abstract

Current U.S. recommendations for breast cancer screening of women with at least a 20%-25% lifetime risk of developing breast cancer include contrast material-enhanced magnetic resonance (MR) imaging of the breasts. The cancer detection rate in high-risk women undergoing screening MR imaging is approximately 10 times higher than that in normal-risk women undergoing screening mammography. Many of these high-risk women commence MR imaging screening while they are premenopausal, when the breasts are most influenced by cyclical hormonal changes. Healthy premenopausal breast tissue enhances in a cyclical and variable manner. This enhancement is described as background enhancement. Typically, enhancement of normal breast tissue occurs in a symmetric and diffuse pattern, and there is little diagnostic difficulty in classifying it as normal background parenchymal enhancement. However, sometimes the pattern is more focal, asymmetric, or regional. It may then be described as nonmasslike enhancement, an observation associated with both benign and malignant breast pathologic conditions. A review of the morphologic features and internal enhancement patterns in normal but nondiffuse background enhancement and abnormal nonmasslike enhancement in high-risk premenopausal women can help improve interpretive specificity and decrease false-positive interpretations. MR imaging pitfalls and interpretation strategies for localized background enhancement and pathologic nonmasslike enhancement in this high-risk population are highlighted. In evaluating nonmasslike enhancement, the use of the Breast Imaging Reporting and Data System (BI-RADS) lexicon to perform careful analysis of morphologic features, along with an understanding of the role and limitations of kinetic information, will help balance early breast cancer detection against false-positive interpretation. © RSNA, 2013.

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Year:  2013        PMID: 24025928     DOI: 10.1148/rg.335125185

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  11 in total

Review 1.  Intensified surveillance for early detection of breast cancer in high-risk patients.

Authors:  Ulrich Bick
Journal:  Breast Care (Basel)       Date:  2015-02       Impact factor: 2.860

Review 2.  BI-RADS 3 Assessment on MRI: A Lesion-Based Review for Breast Radiologists.

Authors:  Derek L Nguyen; Kelly S Myers; Eniola Oluyemi; Lisa A Mullen; Babita Panigrahi; Joanna Rossi; Emily B Ambinder
Journal:  J Breast Imaging       Date:  2022-06-28

3.  Clinics in diagnostic imaging (180). Ductal carcinoma in situ (DCIS).

Authors:  Eu Jin Tan; Tammy Hui Lin Moey; Preetha Madhukumar; Lester Chee Hao Leong
Journal:  Singapore Med J       Date:  2017-10       Impact factor: 1.858

4.  Influence of Menstrual Cycle Timing on Screening Breast MRI Background Parenchymal Enhancement and Diagnostic Performance in Premenopausal Women.

Authors:  Brian N Dontchos; Habib Rahbar; Savannah C Partridge; Constance D Lehman; Wendy B DeMartini
Journal:  J Breast Imaging       Date:  2019-06-11

5.  Clumped vs non-clumped internal enhancement patterns in linear non-mass enhancement on breast MRI.

Authors:  Shu Tian Chen; James Covelli; Satoko Okamoto; Bruce L Daniel; Wendy B DeMartini; Debra M Ikeda
Journal:  Br J Radiol       Date:  2020-12-17       Impact factor: 3.039

6.  Foci on breast magnetic resonance imaging in high-risk women: cancer or not?

Authors:  Paola Clauser; Enrico Cassano; Arianna De Nicolò; Anna Rotili; Bernardo Bonanni; Massimo Bazzocchi; Chiara Zuiani
Journal:  Radiol Med       Date:  2016-05-12       Impact factor: 3.469

7.  Amount of fibroglandular tissue FGT and background parenchymal enhancement BPE in relation to breast cancer risk and false positives in a breast MRI screening program : A retrospective cohort study.

Authors:  Suzan Vreemann; Mehmet U Dalmis; Peter Bult; Nico Karssemeijer; Mireille J M Broeders; Albert Gubern-Mérida; Ritse M Mann
Journal:  Eur Radiol       Date:  2019-02-22       Impact factor: 5.315

8.  Additive value of texture analysis based on breast MRI for distinguishing between benign and malignant non-mass enhancement in premenopausal women.

Authors:  Yu Tan; Hui Mai; Zhiqing Huang; Li Zhang; Chengwei Li; Songxin Wu; Huang Huang; Wen Tang; Yongxi Liu; Kuiming Jiang
Journal:  BMC Med Imaging       Date:  2021-03-12       Impact factor: 1.930

9.  Discrimination of Breast Cancer from Healthy Breast Tissue Using a Three-component Diffusion-weighted MRI Model.

Authors:  Maren M Sjaastad Andreassen; Ana E Rodríguez-Soto; Rebecca Rakow-Penner; Anders M Dale; Christopher C Conlin; Igor Vidić; Tyler M Seibert; Anne M Wallace; Somaye Zare; Joshua Kuperman; Boya Abudu; Grace S Ahn; Michael Hahn; Neil P Jerome; Agnes Østlie; Tone F Bathen; Haydee Ojeda-Fournier; Pål Erik Goa
Journal:  Clin Cancer Res       Date:  2020-11-04       Impact factor: 12.531

10.  Background Parenchymal Enhancement on Breast MRI as a Prognostic Surrogate: Correlation With Breast Cancer Oncotype Dx Score.

Authors:  Michelle Zhang; Meredith Sadinski; Dana Haddad; Min Sun Bae; Danny Martinez; Elizabeth A Morris; Peter Gibbs; Elizabeth J Sutton
Journal:  Front Oncol       Date:  2021-02-04       Impact factor: 6.244

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