Observer Performance Using Virtual Pathology Slides: Impact of LCD Color Reproduction Accuracy.
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...
| Published in: | Journal of Digital Imaging Vol. 25; no. 6; pp. 738 - 744 |
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| Main Authors: | , , , , , |
| Format: | pictorial research tables/charts Journal Article |
| Published: |
Springer Nature
Dec2012
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104432754&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104432754 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Dec2012 vid: 25 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104432754 83184796 10.1007/s10278-012-9479-1 NLM22546982 104432754 ppf: 738 ppct: 6 formats: fmt: @attributes: type: P tig: atl: Observer Performance Using Virtual Pathology Slides: Impact of LCD Color Reproduction Accuracy. aug: au: Krupinski, Elizabeth Silverstein, Louis Hashmi, Syed Graham, Anna Weinstein, Ronald Roehrig, Hans affil: Department of Medical Imaging, University of Arizona, 1609 N Warren Bldg 211 Rm 112 Tucson 85724 USA sug: subj: Microscopy, Virtual Color Computer Peripherals Standards Slides Calibration Vision Tests Clinical Assessment Tools Evaluation Research P-Value Paired T-Tests ROC Curve Funding Source Human ab: 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. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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