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Demonstration of Multi- and Single-Reader Sample Size Program for Diagnostic Studies software.

Stephen L Hillis1, Kevin M Schartz1

  • 1Department of Radiology, University of Iowa, 3170 ML, 200 Hawkins Drive, Iowa City, IA USA 52242-1077.

Proceedings of Spie--The International Society for Optical Engineering
|September 12, 2017
PubMed
Summary
This summary is machine-generated.

This new software calculates sample sizes for diagnostic reader studies, aiding researchers in determining the necessary participants for detecting performance differences between imaging methods. It supports various study designs and analysis techniques for robust diagnostic accuracy assessments.

Keywords:
Dorfman-Berbaum-MetzMRMCObuchowski-Rockettediagnostic radiologymulti-readerpowerreader performancesample size estimation

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Area of Science:

  • Medical Imaging
  • Biostatistics
  • Diagnostic Accuracy Research

Background:

  • Accurate sample size calculation is crucial for the validity and power of diagnostic reader-performance studies.
  • Existing methods for sample size computation in reader studies can be complex and may not cover all relevant analytical approaches.

Purpose of the Study:

  • To introduce and describe the "Multi- and Single-Reader Sample Size Program for Diagnostic Studies" software.
  • To provide researchers with a user-friendly tool for calculating sample sizes in diagnostic reader-performance studies using established analytical frameworks.

Main Methods:

  • The software implements sample size computations based on the Dorfman, Berbaum, and Metz (DBM) and Obuchowski and Rockette (OR) analysis methods.
  • It supports various study designs, inference situations (e.g., random readers and cases), and hypothesis types (equivalence, noninferiority).
  • The program accommodates common reader performance measures, such as the area under the receiver-operating-characteristic curve, estimated parametrically or nonparametrically.

Main Results:

  • The software offers an intuitive interface for entering study parameters and performing calculations.
  • It provides flexibility in choosing input data (OR or DBM), output formats (power or sample size), and analysis types (single or multi-reader).
  • The program is compatible with Windows, Mac OS, and Linux operating systems.

Conclusions:

  • The "Multi- and Single-Reader Sample Size Program for Diagnostic Studies" simplifies sample size determination for diagnostic reader studies.
  • This tool enhances the efficiency and accuracy of planning reader-performance research, supporting the development of reliable diagnostic methods.