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Observer Performance Using Virtual Pathology Slides: Impact of LCD Color Reproduction Accuracy

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Abstract

The use of color LCDs in medical imaging is growing as more clinical specialties use digital images as a resource in diagnosis and treatment decisions. Telemedicine applications such as telepathology, teledermatology, and teleophthalmology rely heavily on color images. However, standard methods for calibrating, characterizing, and profiling color displays do not exist, resulting in inconsistent presentation. To address this, we developed a calibration, characterization, and profiling protocol for color-critical medical imaging applications. Physical characterization of displays calibrated with and without the protocol revealed high color reproduction accuracy with the protocol. The present study assessed the impact of this protocol on observer performance. A set of 250 breast biopsy virtual slide regions of interest (half malignant, half benign) were shown to six pathologists, once using the calibration protocol and once using the same display in its “native” off-the-shelf uncalibrated state. Diagnostic accuracy and time to render a decision were measured. In terms of ROC performance, Az (area under the curve) calibrated = 0.8570 and Az uncalibrated = 0.8488. No statistically significant difference (p = 0.4112) was observed. In terms of interpretation speed, mean calibrated = 4.895 s; mean uncalibrated = 6.304 s which is statistically significant (p = 0.0460). Early results suggest a slight advantage diagnostically for a properly calibrated and color-managed display and a significant potential advantage in terms of improved workflow. Future work should be conducted using different types of color images that may be more dependent on accurate color rendering and a wider range of LCDs with varying characteristics.

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Acknowledgments

This work was supported in part by NIH/ARRA grant 1R01EB007311-01A2.

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Authors and Affiliations

  1. Department of Medical Imaging, University of Arizona, 1609 N Warren Bldg 211 Rm 112, Tucson, AZ, 85724, USA

    Elizabeth A. Krupinski, Syed F. Hashmi & Hans Roehrig

  2. VCD Sciences, Inc., 9695 E Yucca St., Scottsdale, AZ, 85260, USA

    Louis D. Silverstein

  3. Department of Pathology, University of Arizona, 1501 N. Campbell, Tucson, AZ, 85724, USA

    Anna R. Graham & Ronald S. Weinstein

Authors
  1. Elizabeth A. Krupinski
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  2. Louis D. Silverstein
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  3. Syed F. Hashmi
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  4. Anna R. Graham
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  5. Ronald S. Weinstein
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  6. Hans Roehrig
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Correspondence to Elizabeth A. Krupinski.

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Krupinski, E.A., Silverstein, L.D., Hashmi, S.F. et al. Observer Performance Using Virtual Pathology Slides: Impact of LCD Color Reproduction Accuracy. J Digit Imaging 25, 738–743 (2012). https://doi.org/10.1007/s10278-012-9479-1

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  • DOI: https://doi.org/10.1007/s10278-012-9479-1

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