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Proceedings Paper

Multiple-reader studies, digital mammography, computer-aided diagnosis, and the Holy Grail of imaging physics: II
Author(s): Sergey V. Beiden; Robert F. Wagner; Gregory Campbell; Charles E. Metz; Yulei Jiang; Heang-Ping Chan
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Paper Abstract

The metaphor of the Holy Grail is used here to refer to the classic and elusive problem in medical imaging of predicting the ranking of the clinical performance of competing imaging modalities from the ranking obtained from physical laboratory measurements and signal-detection analysis, or from simple phantom studies. We show how the use of the multiple-reader, multiple-case (MRMC) ROC paradigm and new analytical techniques allows this masking effect to be quantified in terms of components-of-variance models. Moreover, we demonstrate how the components of variance associated with reader variability may be reduced when readers have the benefit of computer-assist reading aids. The remaining variability will be due to the case components, and these reflect the contribution of the technology without the masking effect of the reader. This suggests that prediction of clinical ranking of imaging systems in terms of physical measurements may become a much more tractable task in a world that includes MRMC ROC analysis of performance of radiologists with the advantage of computer-assisted reading.

Paper Details

Date Published: 28 June 2001
PDF: 8 pages
Proc. SPIE 4320, Medical Imaging 2001: Physics of Medical Imaging, (28 June 2001); doi: 10.1117/12.430882
Show Author Affiliations
Sergey V. Beiden, FDA Ctr. for Devices and Radiological Health (United States)
Robert F. Wagner, FDA Ctr. for Devices and Radiological Health (United States)
Gregory Campbell, FDA Ctr. for Devices and Radiological Health (United States)
Charles E. Metz, Univ. of Chicago (United States)
Yulei Jiang, Univ. of Chicago (United States)
Heang-Ping Chan, Univ. of Michigan (United States)


Published in SPIE Proceedings Vol. 4320:
Medical Imaging 2001: Physics of Medical Imaging
Larry E. Antonuk; Martin Joel Yaffe, Editor(s)

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