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Automated Volumetric Breast Density Measurements in the Era of the BI-RADS Fifth Edition: A Comparison With Visual Assessment.

Authors
 Ji Hyun Youk  ;  Hye Mi Gweon  ;  Eun Ju Son  ;  Jeong-Ah Kim 
Citation
 AMERICAN JOURNAL OF ROENTGENOLOGY, Vol.206(5) : 1056-1062, 2016 
Journal Title
 AMERICAN JOURNAL OF ROENTGENOLOGY 
ISSN
 0361-803X 
Issue Date
2016
MeSH
Adult ; Aged ; Aged, 80 and over ; Breast/pathology* ; Breast Neoplasms/diagnostic imaging* ; Breast Neoplasms/pathology ; Female ; Humans ; Mammography* ; Middle Aged ; Radiographic Image Interpretation, Computer-Assisted* ; Retrospective Studies ; Young Adult
Keywords
breast ; computer-assisted radiographic image interpretation ; digital radiography ; mammography ; software
Abstract
OBJECTIVE: The purpose of this study is to evaluate automated volumetric measurements in comparison with visual assessment of mammographic breast density by use of the fifth edition of BI-RADS. MATERIALS AND METHODS: A total of 1185 full-field digital mammography examinations with standard views were retrospectively analyzed. All images were visually assessed by two blinded radiologists according to breast density category in the fifth edition of the BI-RADS lexicon. Automated volumetric breast density assessment was performed using two different software programs, Quantra and Volpara. A weighted kappa value was calculated to assess the degree of agreement among the visual and volumetric assessments of the density category. The volumes of fibroglandular tissue or total breast and the percentage breast density provided by the two software programs were compared. RESULTS: Compared with a visual assessment, the agreement of density category ranged from moderate to substantial in Quantra (κ = 0.54-0.61) and fair to moderate in Volpara (κ = 0.32-0.43). The distribution of density category was statistically significantly different among visual and volumetric measurements (p < 0.0001). Quantra assigned category A and B (43.5%) more frequently than did the radiologists (25.6%) or Volpara (16.0%). Volpara assigned category D (42.1%) more frequently than did the radiologists (19.5%) or Quantra (15.4%). Between the two software programs, the means of all volumetric data were statistically significantly different (p < 0.0001), but were well correlated (γ = 0.79-0.99; p < 0.0001). CONCLUSION: More mammographic examinations were classified as nondense breast tissue using the Quantra software and as dense breast tissue using the Volpara software, as compared with visual assessments according to the BI-RADS fifth edition.
Full Text
http://www.ajronline.org/doi/abs/10.2214/AJR.15.15472
DOI
10.2214/AJR.15.15472
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Gweon, Hye Mi(권혜미) ORCID logo https://orcid.org/0000-0002-3054-1532
Kim, Jeong Ah(김정아) ORCID logo https://orcid.org/0000-0003-4949-4913
Son, Eun Ju(손은주) ORCID logo https://orcid.org/0000-0002-7895-0335
Youk, Ji Hyun(육지현) ORCID logo https://orcid.org/0000-0002-7787-780X
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/146773
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