Journal article
Diagnosis of major cancer resection specimens with virtual slides: impact of a novel digital pathology workstation
Human pathology, Vol.45(10), pp.2101-2106
10/2014
DOI: 10.1016/j.humpath.2014.06.017
PMID: 25128229
Abstract
Digital pathology promises a number of benefits in efficiency in surgical pathology, yet the longer time required to review a virtual slide than a glass slide currently represents a significant barrier to the routine use of digital pathology. We aimed to create a novel workstation that enables pathologists to view a case as quickly as on the conventional microscope. The Leeds Virtual Microscope (LVM) was evaluated using a mixed factorial experimental design. Twelve consultant pathologists took part, each viewing one long cancer case (12-25 slides) on the LVM and one on a conventional microscope. Total time taken and diagnostic confidence were similar for the microscope and LVM, as was the mean slide viewing time. On the LVM, participants spent a significantly greater proportion of the total task time viewing slides and revisited slides more often. The unique design of the LVM, enabling real-time rendering of virtual slides while providing users with a quick and intuitive way to navigate within and between slides, makes use of digital pathology in routine practice a realistic possibility. With further practice with the system, diagnostic efficiency on the LVM is likely to increase yet more.
Details
- Title: Subtitle
- Diagnosis of major cancer resection specimens with virtual slides: impact of a novel digital pathology workstation
- Creators
- Rebecca Randell - School of Healthcare, University of Leeds, Leeds LS2 9UT, UKRoy A Ruddle - School of Computing, University of Leeds, Leeds LS2 9JT, UKRhys G Thomas - School of Computing, University of Leeds, Leeds LS2 9JT, UKClaudia Mello-Thoms - Medical Radiation Sciences, The University of Sydney, Sydney NSW 2150, AustraliaDarren Treanor - St. James’s University Hospital, Leeds Teaching Hospital NHS Trust, Leeds LS9 7TF, UK
- Resource Type
- Journal article
- Publication Details
- Human pathology, Vol.45(10), pp.2101-2106
- DOI
- 10.1016/j.humpath.2014.06.017
- PMID
- 25128229
- NLM abbreviation
- Hum Pathol
- ISSN
- 0046-8177
- eISSN
- 1532-8392
- Publisher
- Elsevier Inc
- Language
- English
- Date published
- 10/2014
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology
- Record Identifier
- 9984051575302771
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