Elsevier

Academic Radiology

Volume 15, Issue 5, May 2008, Pages 647-661
Academic Radiology

Original investigation
Recent Developments in the Dorfman-Berbaum-Metz Procedure for Multireader ROC Study Analysis1

https://doi.org/10.1016/j.acra.2007.12.015Get rights and content

Rationale and objectives

The Dorfman-Berbaum-Metz (DBM) method has been one of the most popular methods for analyzing multireader receiver-operating characteristic (ROC) studies since it was proposed in 1992. Despite its popularity, the original procedure has several drawbacks: it is limited to jackknife accuracy estimates, it is substantially conservative, and it is not based on a satisfactory conceptual or theoretical model. Recently, solutions to these problems have been presented in three papers. Our purpose is to summarize and provide an overview of these recent developments.

Materials and Methods

We present and discuss the recently proposed solutions for the various drawbacks of the original DBM method.

Results

We compare the solutions in a simulation study and find that they result in improved performance for the DBM procedure. We also compare the solutions using two real data studies and find that the modified DBM procedure that incorporates these solutions yields more significant results and clearer interpretations of the variance component parameters than the original DBM procedure.

Conclusions

We recommend using the modified DBM procedure that incorporates the recent developments.

Section snippets

Original DBM Method

The DBM method is typically used with the test × reader × case factorial study design where each case (ie, patient) undergoes each of several diagnostic tests and the resulting images are interpreted once by each reader. Throughout this paper, we assume that the data have been collected using this factorial design. The competing modalities can be compared using the DBM method; in particular, the null hypothesis of no test effect can be tested and confidence intervals for test differences can be

Simulation Study

In a simulation study we examined the performance of the three DBM approaches—original DBM, new model simplification, and new model simplification plus ddfH—with respect to the empirical type I error rate for testing the null hypothesis of no test effect. The simulation model of Roe and Metz (2) provided continuous decision-variable outcomes generated from a conventional binormal model that treats both cases and readers as random. We used this simulation model to create discrete rating data by

Discussion

We have summarized recently proposed solutions for the various drawbacks of the original DBM method and examined the performance of these solutions in a simulation study. The solutions include using normalized pseudovalues that allow DBM results to be based on either the original or the jackknife accuracy estimates; using less data-based model reduction and ddfH to make DBM less conservative with a type I error rate much closer to the nominal level; and showing that the DBM model can be viewed

Acknowledgments

The authors thank Carolyn Van Dyke, MD, for sharing her data set.

References (24)

  • S.L. Hillis et al.

    Monte Carlo validation of the Dorfman-Berbaum-Metz method using normalized pseudovalues and less data-based model simplification

    Acad Radiol

    (2005)
  • S.L. Hillis

    A comparison of denominator degrees of freedom methods for multiple observer ROC analysis

    Stat Med

    (2007)
  • Cited by (183)

    View all citing articles on Scopus
    1

    This research was supported by Grant R01EB000863 from the National Institutes of Health, Bethesda, MD. The views expressed in this article are those of the authors and do not necessarily represent the views of the Department of Veterans Affairs.

    View full text