@inproceedings{27799cb4faf147abae6fa1df03806cf4,
title = "Inter-observer variability within BI-RADS and RANZCR mammographic density assessment schemes",
abstract = "This study compares variability associated with two visual mammographic density (MD) assessment methods using two separate samples of radiologists. The image test-set comprised of images obtained from 20 women (age 42-89 years). The images were assessed for their MD by twenty American Board of Radiology (ABR) examiners and twenty-six radiologists registered with the Royal Australian and New Zealand College of Radiologists (RANZCR). Images were assessed using the same technology and conditions, however the ABR radiologists used the BI-RADS and the RANZCR radiologists used the RANZCR breast density synoptic. Both scales use a 4-point assessment. The images were then grouped as low- and high-density; low including BIRADS 1 and 2 or RANZCR 1 and 2 and high including BI-RADS 3 and 4 or RANZCR 3 and 4. Four-point BI-RADS and RANZCR showed no or negligible correlation (ρ=-0.029; p<0.859). The average inter-observer agreement on the BI-RADS scale had a Kappa of 0.565; [95\% CI = 0.519-0.610], and ranged between 0.328-0.669 while the inter-observer agreement using the RANZCR scale had a Kappa of 0.360; [95\% CI = 0.308-0.412] and a range of 0.078-0.499. Our findings show a wider range of inter-observer variability among RANZCR registered radiologists than the ABR examiners.",
keywords = "Breast density, Inter-observer agreement, Visual assessment methods",
author = "Damases, \{Christine N.\} and Claudia Mello-Thoms and McEntee, \{Mark F.\}",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment ; Conference date: 02-03-2016 Through 03-03-2016",
year = "2016",
doi = "10.1117/12.2214932",
language = "English",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Abbey, \{Craig K.\} and Kupinski, \{Matthew A.\}",
booktitle = "Medical Imaging 2016",
address = "United States",
}