Digital pathology: Review of current opportunities and challenges for oral pathologists
Abstract
Whole slide imaging (WSI) has impacted the practice of pathology in the arenas of education, clinical practice, and research. With digital slides, pathologists can circumvent the limitations of traditional glass. Presently, digital pathology is primarily utilized for second opinion consults, clinical conferences, and education at select academic medical centers, with its mainstream adoption on the rise. However, challenges of adoption for oral pathologists are unique given the highly specialized nature of their work. The hurdles include the high‐cost instrumentation and regular maintenance, need for additional training, changes in traditional workflow, and integration with present software. Given these barriers, it remains unclear the extent to which slide scanning and virtual pathology should be adopted by oral pathologists at this conjuncture. This review seeks to shed light on the current state of WSI and analyzes the opportunities and challenges for oral pathology in the rapidly evolving field of digital pathology.
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Pantanowitz, L., Sinard, J. H., Henricks, W. H., Fatheree, L. A., Carter, A. B., Contis, L. C., Beckwith, B. A., Evans, A. J., Lal, A., & Parwani, A. V. (2013) · Archives of Pathology & Laboratory Medicine · doi:10.5858/arpa.2013-0093-cp · Cited by 622 · see citing works
Self-citationDigital pathology in clinical use: where are we now and what is holding us back?
Griffin, J., & Treanor, D. E. (2016) · Histopathology · doi:10.1111/his.12993 · Cited by 265 · see citing works
Virtual microscopy in pathology education
Dee, F. R. (2009) · Human Pathology · doi:10.1016/j.humpath.2009.04.010 · Cited by 211 · see citing works
Digital pathology and image analysis in tissue biomarker research
Hamilton, P. W., Bankhead, P., Wang, Y., Hutchinson, R. A., Kieran, D., McArt, D. G., James, J. A., & Salto‐Tellez, M. (2014) · Methods · doi:10.1016/j.ymeth.2014.06.015 · Cited by 191 · see citing works
Gutman, D. A., Cobb, J., Somanna, D., Park, Y., Wang, F., Kurç, T., Saltz, J. H., Brat, D. J., Cooper, L., & Kong, J. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-001469 · Cited by 191 · see citing works
The Diagnostic Concordance of Whole Slide Imaging and Light Microscopy: A Systematic Review
Goacher, E., Randell, R., Williams, B. J., & Treanor, D. E. (2016) · Archives of Pathology & Laboratory Medicine · doi:10.5858/arpa.2016-0025-ra · Cited by 173 · see citing works
Evans, A. J., Bauer, T. W., Bui, M. M., Cornish, T. C., Duncan, H., Glassy, E. F., Hipp, J., McGee, R. S., Murphy, D., Myers, C., et al. (2018) · Archives of Pathology & Laboratory Medicine · doi:10.5858/arpa.2017-0496-cp · Cited by 168 · see citing works
Self-citationGoing fully digital: Perspective of a Dutch academic pathology lab
Stathonikos, N., Veta, M., Huisman, A., & van Diest, P. J. (2013) · Journal of Pathology Informatics · doi:10.4103/2153-3539.114206 · Cited by 165 · see citing works
Evaluating the benefits of digital pathology implementation: time savings in laboratory logistics
Baidoshvili, A., Bucur, A., van Leeuwen, J., van der Laak, J. A. W. M., Kluin, P. M., & van Diest, P. J. (2018) · Histopathology · doi:10.1111/his.13691 · Cited by 129 · see citing works
van den Tweel, J. G., & Taylor, C. R. (2010) · Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin · doi:10.1007/s00428-010-0934-4 · Cited by 122 · see citing works
Routine Digital Pathology Workflow: The Catania Experience
Fraggetta, F., Garozzo, S., Zannoni, G. F., Pantanowitz, L., & Rossi, E. D. (2017) · Journal of Pathology Informatics · doi:10.4103/jpi.jpi_58_17 · Cited by 111 · see citing works
Self-citationNew Trends of Emerging Technologies in Digital Pathology
Bueno, G., Fernández-Carrobles, M. M., Déniz, Ó., et al. (2016) · Pathobiology · doi:10.1159/000443482 · Cited by 64 · see citing works
Zhao, C., Wu, T., Ding, X., et al. (2015) · Journal of Pathology Informatics · doi:10.4103/2153-3539.170650 · Cited by 59 · see citing works
Diagnostic Efficiency in Digital Pathology
Mills, A. M., Gradecki, S. E., Horton, B. J., Blackwell, R., Moskaluk, C. A., Mandell, J. W., Mills, S. E., & Cathro, H. P. (2017) · The American Journal of Surgical Pathology · doi:10.1097/pas.0000000000000930 · Cited by 47 · see citing works
Patterson, E. S., Rayo, M., Gill, C., et al. (2011) · Journal of Pathology Informatics · doi:10.4103/2153-3539.74940 · Cited by 42 · see citing works
Hartman, D. J., Ahmad, F., Ferris, R. L., Rimm, D. L., & Pantanowitz, L. (2018) · Oral Oncology · doi:10.1016/j.oraloncology.2018.10.005 · Cited by 41 · see citing works
Self-citationThe Eastern Québec Telepathology Network: a three-year experience of clinical diagnostic services
Têtu, B., Perron, É., Louahlia, S., et al. (2014) · Diagnostic Pathology · doi:10.1186/1746-1596-9-s1-s1 · Cited by 37 · see citing works
McCready, Z. R., & Jham, B. C. (2013) · Journal of Dental Education · doi:10.1002/j.0022-0337.2013.77.12.tb05641.x · Cited by 35 · see citing works
“Slide less pathology”: Fairy tale or reality?
Indu, M., Ravindran, R., & Binu, M. (2016) · Journal of Oral and Maxillofacial Pathology · doi:10.4103/0973-029x.185921 · Cited by 30 · see citing works
Vainer, B., Mortensen, N. W., Poulsen, S. S., et al. (2017) · Journal of Pathology Informatics · doi:10.4103/2153-3539.201919 · Cited by 30 · see citing works
An industry perspective: An update on the adoption of whole slide imaging
Montalto, M. (2016) · Journal of Pathology Informatics · doi:10.4103/2153-3539.180014 · Cited by 25 · see citing works
Obstacles hindering the mainstream practice of teledermatopathology
Giambrone, D., Rao, B. K., Esfahani, A., et al. (2014) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2014.04.043 · Cited by 20 · see citing works
Validation of digital microscopy in the histopathological diagnoses of oral diseases
Araújo, A. L. D., do Amaral‐Silva, G. K., Fonseca, F. P., et al. (2018) · Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin · doi:10.1007/s00428-018-2382-5 · Cited by 18 · see citing works
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AI in Medical Imaging Informatics: Current Challenges and Future Directions
Panayides, A. S., Amini, A., Filipovic, N. D., Sharma, A., Tsaftaris, S. A., Young, A., Foran, D., Do, N., Golemati, S., Kurc, T., et al. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2020.2991043 · Cited by 713 · see citing works
- Authors
- Liu, Y., & Pantanowitz, L.
- Affiliations
- University of Pittsburgh (US)
- University of Pittsburgh Medical Center (US)
- Corresponding author
- Liu, Yingci
- Venue
- Journal of Oral Pathology & Medicine
- Publisher
- Wiley
- Published
- 2019-02-08
- Volume
- 48
- Issue
- 4
- Pages
- 263-269
- ISSN
- 0300-9777 (ISSN-L)
- 0904-2512
- 1600-0714
- OpenAlex
- W2910592851
- Cited by
- 28
- References
- 23
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 5 · 2023: 7 · 2022: 4 · 2021: 5 · 2020: 5
- FWCI
- 1.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Oral Pathology and Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Dentistry › Oral Surgery › Dental Radiography and Imaging
- Keywords
- digital pathology, whole slide imaging, oral pathology, slide scanning, virtual pathology, technology adoption barriers, pathology workflow, second opinion
- MeSH terms
- Diagnostic Imaging, Humans, Pathology, Oral Medicine
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