Literature DB >> 23727379

Variability of breast density assessment in short-term reimaging with digital mammography.

Won Hwa Kim1, Woo Kyung Moon, Sun Mi Kim, Ann Yi, Jung Min Chang, Hye Ryoung Koo, Su Hyun Lee, Nariya Cho.   

Abstract

OBJECTIVE: To evaluate the variability of breast density assessments in short-term reimaging with digital mammography.
MATERIALS AND METHODS: In 186 women, short term (mean interval, 27.6 days) serial digital mammograms including CC and MLO views were obtained without any treatment. Mammographic density assessments were performed by three blinded radiologists for Breast Imaging Report and Data System (BI-RADS, grades 1-4) and visual percentage density (PD) estimation, and by one radiologist for computer-aided PD estimation. The variability of assessments was analyzed according to the age, breast density, and mammography types by multivariate logistic regression.
RESULTS: In BI-RADS assessments, 29% (161 of 558) of breast density categories were assessed differently after short-term reimaging and the mean absolute difference in PD for CC and MLO view was 7.6% and 8.1% for visual assessments, and 7.4% and 6.4% for computer-aided assessments, respectively. Among all computer-aided assessments, 29% (54 of 186) of CC view and 22% (41 of 186) of MLO view assessments had discrepancy over 10% in PD. Younger age (<50), greater breast density (grades 3 and 4), and different mammography types were significantly associated with the variability.
CONCLUSION: Considerable variability in breast density assessments occurred in short-term reimaging with digital mammography, particularly in women with younger age and greater breast density and when examined using different types of mammography.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Breast; Breast density; Mammography/methods; Mammography/utilization; Reproducibility of results

Mesh:

Year:  2013        PMID: 23727379     DOI: 10.1016/j.ejrad.2013.05.004

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  2 in total

1.  Parenchymal texture analysis in digital mammography: robust texture feature identification and equivalence across devices.

Authors:  Brad M Keller; Andrew Oustimov; Yan Wang; Jinbo Chen; Raymond J Acciavatti; Yuanjie Zheng; Shonket Ray; James C Gee; Andrew D A Maidment; Despina Kontos
Journal:  J Med Imaging (Bellingham)       Date:  2015-04-03

Review 2.  Imaging Breast Density: Established and Emerging Modalities.

Authors:  Jeon-Hor Chen; Gultekin Gulsen; Min-Ying Su
Journal:  Transl Oncol       Date:  2015-12       Impact factor: 4.243

  2 in total

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