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Proceedings Paper

Propagation of reader variability in mammography to the variable expected benefit over the population
Author(s): Robert F. Wagner; Craig A. Beam; Sergey V. Beiden
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Paper Abstract

An approach to sampling the U.S. population of mammographers was devised by Beam, Layde, Sullivan. They now have accumulated the reports of 108 radiologists, each reading the same random sample of 150 cases. We have applied multiple-reader, multiple case (MRMC) ROC analysis to their data and reconfirmed the earlier conclusion of Beam that the variability in their observations is dominated by the range of reader skill in their sample (private communication, C. Beam 2000). The purpose of the present paper is to demonstrate how the range of reader skill may become amplified when it is propagated into the corresponding expected benefit curves. This paper is a works-in-progress for which the full report has been submitted to the journal of Medical Decision Making.

Paper Details

Date Published: 22 May 2003
PDF: 4 pages
Proc. SPIE 5034, Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment, (22 May 2003); doi: 10.1117/12.480328
Show Author Affiliations
Robert F. Wagner, FDA Ctr. for Devices and Radiological Health (United States)
Craig A. Beam, H. Lee Moffitt Cancer Ctr. and Research Institute/Univ. of South Florida (United States)
Sergey V. Beiden, FDA Ctr. for Devices and Radiological Health (United States)


Published in SPIE Proceedings Vol. 5034:
Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment
Dev P. Chakraborty; Elizabeth A. Krupinski, Editor(s)

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