ArticleJournal of digital imaging2012
Observer performance using virtual pathology slides: impact of LCD color reproduction accuracy.
Article in Journal of digital imaging, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Considerations for digital pathology displays.Journal of pathology informatics · 2026Review
- Display performance and standards for primary digital pathology sign-out: Technical specifications, validation, and quality assurance.Journal of pathology informatics · 2026Article
- The evolving role of DICOM in digital pathology.Journal of pathology informatics · 2026Review
- Comparison of digital displays for efficient diagnosis and accuracy.Journal of pathology informatics · 2026Article
- Digital transformation of pathology - the European Society of Pathology expert opinion paper.Virchows Archiv : an international journal of pathology · 2025Article
- Crossing the Andes: Challenges and opportunities for digital pathology in Latin America.Journal of pathology informatics · 2024Review
- Synergies and Challenges in the Preclinical and Clinical Implementation of Pathology Artificial Intelligence Applications.Mayo Clinic proceedings. Digital health · 2023Review
- A literature review of quality, costs, process-associated with digital pathology.Journal of exercise rehabilitation · 2021Review
- Digital Pathology: Advantages, Limitations and Emerging Perspectives.Journal of clinical medicine · 2020Review
- Color standardization and optimization in whole slide imaging.Clinical and diagnostic pathology · 2020Article
- Display Characteristics and Their Impact on Digital Pathology: A Current Review of Pathologists' Future "Microscope".Journal of pathology informatics · 2020Review
- The Empirical Foundations of Telepathology: Evidence of Feasibility and Intermediate Effects.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2017Review
- A quantitative approach to evaluate image quality of whole slide imaging scanners.Journal of pathology informatics · 2016Article
- Effect of color visualization and display hardware on the visual assessment of pseudocolor medical images.Medical physics · 2015Article
- Consistency and standardization of color in medical imaging: a consensus report.Journal of digital imaging · 2015Article
- Evaluation environment for digital and analog pathology: a platform for validation studies.Journal of medical imaging (Bellingham, Wash.) · 2014Article
- Color accuracy and reproducibility in whole slide imaging scanners.Journal of medical imaging (Bellingham, Wash.) · 2014Article
- Color error in the digital camera image capture process.Journal of digital imaging · 2014Article
- Human Factors and Human-Computer Considerations in Teleradiology and Telepathology.Healthcare (Basel, Switzerland) · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.