Heat maps: an aid for data analysis and understanding of ROC CAD experiments

Academic Radiology
Matthew T Freedman, Teresa Osicka

Abstract

To demonstrate the value of a new data visualization and exploration method for mutlireader-multicase receiver operating characteristic (MRMC-ROC) experiments of computer-aided detection (CAD) algorithms that uses three-dimensional (3D) heat maps tool adapted from gene expression array analysis. We are using data from a clinical trial of a commercial CAD system for lung cancer detection (RapidScreen RS-2000, Riverain Medical Group, Miamisburg, OH, and Rockville, MD). 3D heat maps, originally developed for displaying changes in gene expression after cancer chemotherapy in MATLAB, were modified to display the radiologists confidence levels as they interpreted chest radiographs and used to visualize the radiologists confidence levels before and after the provision of a CAD system. Heat maps demonstrated the variation among radiologists in their interpretation, and the degree of variation in interpretation when a single radiologist reinterpreted the same case without and with CAD modality. They demonstrated the variability in the identification of each cancer/cancer-free case and the variability of change seen when CAD prompts were provided. CAD increases the consistency of interpretation of a single radiologist and of a group of r...Continue Reading

References

Dec 9, 1998·Proceedings of the National Academy of Sciences of the United States of America·M B EisenD Botstein
Mar 20, 1999·Chest·L G QuekelJ M van Engelshoven
Jul 27, 2001·Bioinformatics·Z Bar-JosephT S Jaakkola
Sep 19, 2002·Journal of the National Cancer Institute·Joann G ElmoreSuzanne W Fletcher
Feb 20, 2003·Journal of the National Cancer Institute·Craig A BeamEdward A Sickles
Dec 17, 2004·Journal of the National Cancer Institute·William E BarlowJoann G Elmore
Apr 7, 2007·Journal of the American College of Radiology : JACR·Matthew Freedman, Teresa Osicka

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