Literature DB >> 24555608

Rate of malignancy in MRI-detected probably benign (BI-RADS 3) lesions.

Claudio Spick1, Dieter H M Szolar, Pascal A Baltzer, Manfred Tillich, Pia Reittner, Klaus W Preidler, Katja Pinker-Domenig, Thomas H Helbich.   

Abstract

OBJECTIVE: The purpose of this study was to evaluate the malignancy rate in MRI-detected probably benign (BI-RADS 3) lesions in women without a history of breast cancer.
MATERIALS AND METHODS: In this study, 1265 patients underwent breast MRI during a 7-year period. One hundred and eight (8.5%) patients with a nonpalpable breast lesion classified as BI-RADS 3 at MRI and with a needle biopsy or adequate follow-up of at least 24 months were included. Statistical analysis included calculation of the negative predictive value with its 95% CI.
RESULTS: Of 108 lesions, 107 (99.1%) were correctly assessed as probably benign, resulting in a negative predictive value of 99.1% (95% CI, 94.99-99.98%). Histopathology was requested by the patient or referring physician in 44 patients. Of these, 43 (39.8%) lesions were classified as benign and one (0.9%) as malignant. There were no changes evident in any of the remaining 64 (59.2%) lesions during follow-up (range, 2-9 years).
CONCLUSION: In MRI-detected probably benign (BI-RADS 3) lesions, the malignancy rate is low and within the accepted cancer rate for mammographically or sonographically detected BI-RADS 3 lesions. Short-term follow-up MRI at intervals of 6, 12, and 24 months in MRI BI-RADS 3 lesions remains a strong tool with which to detect suspicious lesions. Interval changes in size, morphology, or enhancement are regarded as indicative of malignancy.

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Year:  2014        PMID: 24555608     DOI: 10.2214/AJR.13.10928

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


  8 in total

1.  Management for BI-RADS category 3 lesions detected in preoperative breast MR imaging of breast cancer patients.

Authors:  Hye Mi Gweon; Nariya Cho; Soo-Yeon Kim; Hye Ryoung Koo; Mirinae Seo; Ajung Chu; Eun Ju Son
Journal:  Eur Radiol       Date:  2017-01-12       Impact factor: 5.315

2.  Diagnostic workup and costs of a single supplemental molecular breast imaging screen of mammographically dense breasts.

Authors:  Carrie B Hruska; Amy Lynn Conners; Katie N Jones; Michael K O'Connor; James P Moriarty; Judy C Boughey; Deborah J Rhodes
Journal:  AJR Am J Roentgenol       Date:  2015-06       Impact factor: 3.959

3.  [Researcher of the month].

Authors:  Claudio Spick
Journal:  Wien Klin Wochenschr       Date:  2015-02       Impact factor: 1.704

Review 4.  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

Review 5.  Breast MRI: EUSOBI recommendations for women's information.

Authors:  Ritse M Mann; Corinne Balleyguier; Pascal A Baltzer; Ulrich Bick; Catherine Colin; Eleanor Cornford; Andrew Evans; Eva Fallenberg; Gabor Forrai; Michael H Fuchsjäger; Fiona J Gilbert; Thomas H Helbich; Sylvia H Heywang-Köbrunner; Julia Camps-Herrero; Christiane K Kuhl; Laura Martincich; Federica Pediconi; Pietro Panizza; Luis J Pina; Ruud M Pijnappel; Katja Pinker-Domenig; Per Skaane; Francesco Sardanelli
Journal:  Eur Radiol       Date:  2015-05-23       Impact factor: 5.315

Review 6.  Breast lesions classified as probably benign (BI-RADS 3) on magnetic resonance imaging: a systematic review and meta-analysis.

Authors:  Claudio Spick; Hubert Bickel; Stephan H Polanec; Pascal A Baltzer
Journal:  Eur Radiol       Date:  2017-11-22       Impact factor: 5.315

7.  How I report breast magnetic resonance imaging studies for breast cancer staging and screening.

Authors:  Sarah Vinnicombe
Journal:  Cancer Imaging       Date:  2016-07-25       Impact factor: 3.909

Review 8.  BI-RADS 3: Current and Future Use of Probably Benign.

Authors:  Karen A Lee; Nishi Talati; Rebecca Oudsema; Sharon Steinberger; Laurie R Margolies
Journal:  Curr Radiol Rep       Date:  2018-01-27
  8 in total

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