Literature DB >> 26148173

Suspicious Findings at Digital Breast Tomosynthesis Occult to Conventional Digital Mammography: Imaging Features and Pathology Findings.

Kimberly M Ray1, Estella Turner2, Edward A Sickles1, Bonnie N Joe1.   

Abstract

To review the imaging and pathologic features of a series of lesions detected at digital breast tomosynthesis (DBT), which are occult to conventional digital mammography (DM). We retrospectively reviewed 268 consecutive breast imaging reporting and data system 4 and 5 lesions imaged with both DM and DBT at our facility from July 2012 through April 2013. For each lesion, we recorded the mammographic finding, breast density, mode of biopsy, and pathology results. A total of 19 lesions were identified at DBT that were occult to DM. Sixty three percent (12/19) of these lesions were identified in dense breasts. Architectural distortion was seen in 74% (14/19) of cases and spiculated masses accounted for the remaining 26% (5/19). The positive predictive value of biopsy was 53% (10/19). Seven cases were infiltrating ductal carcinomas and three were infiltrating lobular carcinomas. High-risk lesions accounted for 47% (9/19) of the lesions, the majority of which were radial scars 67% (6/9). Eighty four percent (16/19) of the lesions underwent ultrasound guided core biopsy while the remainder underwent magnetic resonance imaging guided core biopsy. DBT may demonstrate suspicious lesions that are occult to DM, particularly in women with dense breasts. Such lesions have a high likelihood of malignancy and warrant biopsy.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  breast; digital; mammography; tomosynthesis

Mesh:

Year:  2015        PMID: 26148173     DOI: 10.1111/tbj.12446

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


  13 in total

1.  Comparison of digital mammography and digital breast tomosynthesis in the detection of architectural distortion.

Authors:  Elizabeth H Dibble; Ana P Lourenco; Grayson L Baird; Robert C Ward; A Stanley Maynard; Martha B Mainiero
Journal:  Eur Radiol       Date:  2017-07-14       Impact factor: 5.315

2.  BI-RADS Category 3 Comparison: Probably Benign Category after Recall from Screening before and after Implementation of Digital Breast Tomosynthesis.

Authors:  Elizabeth S McDonald; Anne Marie McCarthy; Susan P Weinstein; Mitchell D Schnall; Emily F Conant
Journal:  Radiology       Date:  2017-07-17       Impact factor: 11.105

Review 3.  Digital Breast Tomosynthesis: Concepts and Clinical Practice.

Authors:  Alice Chong; Susan P Weinstein; Elizabeth S McDonald; Emily F Conant
Journal:  Radiology       Date:  2019-05-14       Impact factor: 11.105

4.  Breast Cancer Conspicuity on Simultaneously Acquired Digital Mammographic Images versus Digital Breast Tomosynthesis Images.

Authors:  Katrina E Korhonen; Emily F Conant; Eric A Cohen; Marie Synnestvedt; Elizabeth S McDonald; Susan P Weinstein
Journal:  Radiology       Date:  2019-05-14       Impact factor: 11.105

5.  Malignancy Upgrade Rates of Radial Sclerosing Lesions at Breast Cancer Screening.

Authors:  Pamela Yan; Linda DeMello; Grayson L Baird; Ana P Lourenco
Journal:  Radiol Imaging Cancer       Date:  2021-11

Review 6.  Strategies to Increase Cancer Detection: Review of True-Positive and False-Negative Results at Digital Breast Tomosynthesis Screening.

Authors:  Katrina E Korhonen; Susan P Weinstein; Elizabeth S McDonald; Emily F Conant
Journal:  Radiographics       Date:  2016-10-07       Impact factor: 5.333

Review 7.  Radial Scar: a management dilemma.

Authors:  Charlotte Marguerite Lucille Trombadori; Anna D'Angelo; Francesca Ferrara; Angela Santoro; Paolo Belli; Riccardo Manfredi
Journal:  Radiol Med       Date:  2021-03-20       Impact factor: 3.469

8.  A Novel Fusion-Based Texture Descriptor to Improve the Detection of Architectural Distortion in Digital Mammography.

Authors:  Osmando Pereira Junior; Helder Cesar Rodrigues Oliveira; Carolina Toledo Ferraz; José Hiroki Saito; Marcelo Andrade da Costa Vieira; Adilson Gonzaga
Journal:  J Digit Imaging       Date:  2020-11-11       Impact factor: 4.056

Review 9.  Digital Breast Tomosynthesis: an Overview.

Authors:  Ekta Dhamija; Malvika Gulati; S V S Deo; Ajay Gogia; Smriti Hari
Journal:  Indian J Surg Oncol       Date:  2021-05-15

10.  Automated volumetric breast density estimation out of digital breast tomosynthesis data: feasibility study of a new software version.

Authors:  Youichi Machida; Ai Saita; Hirofumi Namba; Eisuke Fukuma
Journal:  Springerplus       Date:  2016-06-18
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