Statistical models for quantifying diagnostic accuracy with multiple lesions per patient |
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Authors: | Zwinderman Aeilko H Glas Afina S Bossuyt Patrick M Florie Jasper Bipat Shandra Stoker Jaap |
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Affiliation: | Department of Clinical Epidemiology and Biostatistics, J2-203, Amsterdam Medical Center, University of Amsterdam, PO Box 22700, 1100 DE Amsterdam, The Netherlands. a.h.zwinderman@amc.uva.nl |
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Abstract: | We propose random-effects models to summarize and quantify the accuracy of the diagnosis of multiple lesions on a single image without assuming independence between lesions. The number of false-positive lesions was assumed to be distributed as a Poisson mixture, and the proportion of true-positive lesions was assumed to be distributed as a binomial mixture. We considered univariate and bivariate, both parametric and nonparametric mixture models. We applied our tools to simulated data and data of a study assessing diagnostic accuracy of virtual colonography with computed tomography in 200 patients suspected of having one or more polyps. |
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