
Proceedings Paper
2D vs. 3D mammography observer studyFormat | Member Price | Non-Member Price |
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Paper Abstract
Breast cancer is the most common type of non-skin cancer in women. 2D mammography is a screening tool to aid in the
early detection of breast cancer, but has diagnostic limitations of overlapping tissues, especially in dense breasts. 3D
mammography has the potential to improve detection outcomes by increasing specificity, and a new 3D screening tool
with a 3D display for mammography aims to improve performance and efficiency as compared to 2D mammography.
An observer study using a mammography phantom was performed to compare traditional 2D mammography with this ne
3D mammography technique.
In comparing 3D and 2D mammography there was no difference in calcification detection, and mass detection was better
in 2D as compared to 3D. There was a significant decrease in reading time for masses, calcifications, and normals in 3D
compared to 2D, however, as well as more favorable confidence levels in reading normal cases. Given the limitations of
the mammography phantom used, however, a clearer picture in comparing 3D and 2D mammography may be better
acquired with the incorporation of human studies in the future.
Paper Details
Date Published: 24 March 2011
PDF: 8 pages
Proc. SPIE 7967, Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 79670N (24 March 2011); doi: 10.1117/12.878570
Published in SPIE Proceedings Vol. 7967:
Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications
William W. Boonn M.D.; Brent J. Liu, Editor(s)
PDF: 8 pages
Proc. SPIE 7967, Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 79670N (24 March 2011); doi: 10.1117/12.878570
Show Author Affiliations
James Reza F. Fernandez, Image Processing and Informatics Lab. (United States)
Linda Hovanessian-Larsen, The Univ. of Southern California (United States)
Linda Hovanessian-Larsen, The Univ. of Southern California (United States)
Brent Liu, The Univ. of Southern California (United States)
Published in SPIE Proceedings Vol. 7967:
Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications
William W. Boonn M.D.; Brent J. Liu, Editor(s)
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