CONFERENCE PROCEEDINGS
Advanced Search
Home > Journals > J. Med. Imag. > Volume 3 > Issue 1 > Article
Open Access
30 October 2015 Consistency of visual assessments of mammographic breast density from vendor-specific “for presentation” images
Mohamed Abdolell, Kaitlyn Tsuruda, Christopher B. Lightfoot, Eva Barkova, Melanie McQuaid, Judy Caines, Sian E. Iles
Author Affiliations +
Journal of Medical Imaging, Vol. 3, Issue 1, 011004 (October 2015). https://doi.org/10.1117/1.JMI.3.1.011004
Abstract
Discussions of percent breast density (PD) and breast cancer risk implicitly assume that visual assessments of PD are comparable between vendors despite differences in technology and display algorithms. This study examines the extent to which visual assessments of PD differ between mammograms acquired from two vendors. Pairs of “for presentation” digital mammography images were obtained from two mammography units for 146 women who had a screening mammogram on one vendor unit followed by a diagnostic mammogram on a different vendor unit. Four radiologists independently visually assessed PD from single left mediolateral oblique view images from the two vendors. Analysis of variance, intra-class correlation coefficients (ICC), scatter plots, and Bland–Altman plots were used to evaluate PD assessments between vendors. The mean radiologist PD for each image was used as a consensus PD measure. Overall agreement of the PD assessments was excellent between the two vendors with an ICC of 0.95 (95% confidence interval: 0.93 to 0.97). Bland–Altman plots demonstrated narrow upper and lower limits of agreement between the vendors with only a small bias (2.3 percentage points). The results of this study support the assumption that visual assessment of PD is consistent across mammography vendors despite vendor-specific appearances of “for presentation” images.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Citation Download Citation
Mohamed Abdolell, Kaitlyn Tsuruda, Christopher B. Lightfoot, Eva Barkova, Melanie McQuaid, Judy Caines, and Sian E. Iles "Consistency of visual assessments of mammographic breast density from vendor-specific “for presentation” images," Journal of Medical Imaging 3(1), 011004 (30 October 2015). https://doi.org/10.1117/1.JMI.3.1.011004
Published: 30 October 2015
JOURNAL ARTICLE
 6 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
KEYWORDS
Mammography
Visualization
Breast
Diagnostics
Digital mammography
Image processing
Tissues
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top