Literature DB >> 22268165

Imaging features and management of high-risk lesions on contrast-enhanced dynamic breast MRI.

Samantha L Heller1, Linda Moy.   

Abstract

OBJECTIVE: Women at high risk for breast cancer and women with newly diagnosed breast cancer often undergo breast MRI. With the increasing availability of MRI-guided biopsy, high-risk lesions are not infrequently encountered. These high-risk lesions include atypical ductal hyperplasia, lobular carcinoma in situ, atypical lobular hyperplasia, papilloma, radial scar, and flat epithelial cell atypia. The management of these lesions is controversial and is often extended to high-risk lesions detected on mammography and ultrasound, with surgical excision usually recommended. The increasing use of MRI for suspicious lesions necessitates review of the imaging characteristics, frequency, and surgical outcome of high-risk lesions identified at MRI. This article addresses the frequency of high-risk lesions detected on breast MRI according to the current literature and discusses MRI features of high-risk lesions, including morphologic and enhancement kinetic characteristics. The surgical outcome for high-risk lesions identified at MRI-guided biopsy will be discussed. Finally, appropriate management guidelines for high-risk lesions identified on MRI-guided biopsy will be determined.
CONCLUSION: To our knowledge, no studies to date show definitive and specific characteristics for high-risk lesions. Underestimation of malignancy on MRI-guided biopsy currently warrants surgical management for all high-risk lesions. There is a need for prospective larger power studies.

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Year:  2012        PMID: 22268165     DOI: 10.2214/AJR.11.7610

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  9 in total

1.  Which factors influence MRI-pathology concordance of tumour size measurements in breast cancer?

Authors:  M Rominger; D Berg; T Frauenfelder; A Ramaswamy; N Timmesfeld
Journal:  Eur Radiol       Date:  2015-08-14       Impact factor: 5.315

2.  Apparent diffusion coefficient values may help predict which MRI-detected high-risk breast lesions will upgrade at surgical excision.

Authors:  Safia Cheeney; Habib Rahbar; Brian N Dontchos; Sara H Javid; Mara H Rendi; Savannah C Partridge
Journal:  J Magn Reson Imaging       Date:  2017-02-09       Impact factor: 4.813

3.  Separation of benign and malignant breast lesions using dynamic contrast enhanced MRI in a biopsy cohort.

Authors:  Sungheon Gene Kim; Melanie Freed; Ana Paula Klautau Leite; Jin Zhang; Claudia Seuss; Linda Moy
Journal:  J Magn Reson Imaging       Date:  2016-10-20       Impact factor: 4.813

4.  High-risk lesions in the breast diagnosed by MRI-guided core biopsy: upgrade rates and features associated with malignancy.

Authors:  Eumee Cha; Emily B Ambinder; Eniola T Oluyemi; Lisa A Mullen; Babita Panigrahi; Joanna Rossi; Philip A Di Carlo; Kelly S Myers
Journal:  Breast Cancer Res Treat       Date:  2022-10-15       Impact factor: 4.624

5.  Association of Retrospective Peer Review and Positive Predictive Value of Magnetic Resonance Imaging-Guided Vacuum-Assisted Needle Biopsies of Breast.

Authors:  Ceren Yalnız; Juliana Rosenblat; David Spak; Wei Wei; Marion Scoggins; Carisa Le-Petross; Mark J Dryden; Beatriz Adrada; Başak E Doğan
Journal:  Eur J Breast Health       Date:  2019-10-01

6.  High risk breast lesions identified on MRI-guided vacuum-assisted needle biopsy: outcome of surgical excision and imaging follow-up.

Authors:  Megan E Speer; Monica L Huang; Basak E Dogan; Beatriz E Adrada; Rosalind P Candelaria; Kenneth R Hess; Palita Hansakul; Wei T Yang; Gaiane M Rauch
Journal:  Br J Radiol       Date:  2018-07-05       Impact factor: 3.039

Review 7.  High-risk lesions of the breast: concurrent diagnostic tools and management recommendations.

Authors:  Francesca Catanzariti; Daly Avendano; Giuseppe Cicero; Margarita Garza-Montemayor; Carmelo Sofia; Emmanuele Venanzi Rullo; Giorgio Ascenti; Katja Pinker-Domenig; Maria Adele Marino
Journal:  Insights Imaging       Date:  2021-05-26

8.  Not all false positive diagnoses are equal: On the prognostic implications of false-positive diagnoses made in breast MRI versus in mammography / digital tomosynthesis screening.

Authors:  Christiane K Kuhl; Annika Keulers; Kevin Strobel; Hannah Schneider; Nadine Gaisa; Simone Schrading
Journal:  Breast Cancer Res       Date:  2018-02-09       Impact factor: 6.466

9.  MRI-Based Machine Learning in Differentiation Between Benign and Malignant Breast Lesions.

Authors:  Yanjie Zhao; Rong Chen; Ting Zhang; Chaoyue Chen; Muhetaer Muhelisa; Jingting Huang; Yan Xu; Xuelei Ma
Journal:  Front Oncol       Date:  2021-10-18       Impact factor: 6.244

  9 in total

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