Literature DB >> 19929890

Clinical implications of subcategorizing BI-RADS 4 breast lesions associated with microcalcification: a radiology-pathology correlation study.

Mary Ann Sanders1, Lane Roland, Sunati Sahoo.   

Abstract

Currently radiologists have the option of subcategorizing BI-RADS 4 breast lesions into 4A (low suspicion for malignancy), 4B (intermediate suspicion of malignancy), and 4C (moderate concern, but not classic for malignancy). To determine the clinical significance of BI-RADS 4 subcategories and the common pathologic changes associated with these mammographic lesions, a retrospective review of 239 consecutive stereotactic-needle core biopsies (SNCB) for microcalcifications was performed. All 239 SNCBs were BI-RADS 4 lesions, and of these, 191 were subcategorized to 4A, 4B or 4C. Ninety-four of 191 (49%) were 4A, 73 (38%) were 4B, and 24 (13%) were 4C. Fibrocystic change was the most common finding (66/239; 28%) followed by ductal carcinoma in situ (DCIS) accounting for 23% of cases. This was followed by columnar cell alteration with or without atypia (47/239; 19%), and fibroadenoma (45/239; 19%). While 70% (17/24) of BI-RADS 4C category lesions were DCIS, only 21% (15/73) of BI-RADS 4B and 10% (10/94) of BI-RADS 4A were DCIS. Without sub-categorization, carcinoma was diagnosed in 23% (55/239) of all cases with BI-RADS 4. Therefore, subcategorizing BI-RADS 4 lesions is important since it not only benefits the patient and clinician in understanding the level of concern for carcinoma, but will also alert the pathologist.

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Year:  2009        PMID: 19929890     DOI: 10.1111/j.1524-4741.2009.00863.x

Source DB:  PubMed          Journal:  Breast J        ISSN: 1075-122X            Impact factor:   2.431


  7 in total

1.  Parenchymal texture analysis in digital mammography: A fully automated pipeline for breast cancer risk assessment.

Authors:  Yuanjie Zheng; Brad M Keller; Shonket Ray; Yan Wang; Emily F Conant; James C Gee; Despina Kontos
Journal:  Med Phys       Date:  2015-07       Impact factor: 4.071

2.  Nonpalpable BI-RADS 4 breast lesions: sonographic findings and pathology correlation.

Authors:  Eda Elverici; Ayşe Nurdan Barça; Hafize Aktaş; Arzu Özsoy; Betül Zengin; Mehtap Çavuşoğlu; Levent Araz
Journal:  Diagn Interv Radiol       Date:  2015 May-Jun       Impact factor: 2.630

3.  Utility of BI-RADS Assessment Category 4 Subdivisions for Screening Breast MRI.

Authors:  Roberta M Strigel; Elizabeth S Burnside; Mai Elezaby; Amy M Fowler; Frederick Kelcz; Lonie R Salkowski; Wendy B DeMartini
Journal:  AJR Am J Roentgenol       Date:  2017-06       Impact factor: 3.959

4.  Breast cancer risk prediction and mammography biopsy decisions: a model-based study.

Authors:  Katrina Armstrong; Elizabeth A Handorf; Jinbo Chen; Mirar N Bristol Demeter
Journal:  Am J Prev Med       Date:  2013-01       Impact factor: 5.043

5.  Spontaneously Disappearing Calcifications in the Breast: A Rare Instance Where a Decrease in Size on Mammogram Is Not Good.

Authors:  Quan D Nguyen; Nga T Nguyen; Linden Dixon; Flavia E Posleman Monetto; Angelica S Robinson
Journal:  Cureus       Date:  2020-06-21

Review 6.  [Radio-histological correlation of ACR4 microcalcifications in breast lesions: about 181 cases and literature review].

Authors:  Ahmed Guennoun; Yousra Krimou; Chahrazed Bouchikhi; Nisrine Mamouni; Sanaa Errarhay; Abdelaziz Banani
Journal:  Pan Afr Med J       Date:  2018-03-02

7.  Diagnostic accuracy of shear wave elastography for prediction of breast malignancy in patients with pathological nipple discharge.

Authors:  Xiaobo Guo; Ying Liu; Wanhu Li
Journal:  BMJ Open       Date:  2016-01-22       Impact factor: 2.692

  7 in total

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