Treanor, D, Lim, C, Magee, D et al. (2 more authors) (2009) Tracking with virtual slides: a tool to study diagnostic error in histopathology. Histopathology, 55 (1). 37 - 45. ISSN 0309-0167
Abstract
Aims: To determine the reasons for diagnostic error by virtual slides which allow unsupervised study of diagnosis and error. Methods and results: Software was developed to produce visualizations of the diagnostic track followed by pathologists as they viewed virtual slides. These showed the diagnostic path in four dimensions (x, y, time and zoom), areas studied for >1000 ms, and included pathologists’ comments about the areas viewed. The system was used to study two trainee and two expert pathologists diagnosing 60 Barrett’s oesophageal biopsy specimens. Comparisons of the diagnostic tracks showed the reason for errors. Forty-six cases had an expert consensus diagnosis. The trainees made errors in 21 and 15 cases, respectively, of which 11 and nine were clinically significant. Errors were made across the whole spectrum of diagnoses from negative to intramucosal carcinoma. Detailed examination of the tracks showed that in all errors there was incorrect interpretation of information; in three errors there was an additional failure to identify diagnostic features. Conclusions: Tracking with virtual slides is a useful tool in studying diagnosis and error, which has the potential for use in training and assessment
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2009, Wiley Blackwell. This is an author produced version of a paper published in Histopathology. Uploaded in accordance with the publisher's self-archiving policy. The definitive version is available at www3.interscience.wiley.com |
Keywords: | Barrett's oesophagus, diagnosis, education, error, virtual slides, training, barretts-esophagus, medical-education, pathology, experience, expertise, dysplasia |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > Institute of Molecular Medicine (LIMM) (Leeds) > Section of Pathology (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Aug 2013 10:36 |
Last Modified: | 15 Sep 2014 03:21 |
Published Version: | http://dx.doi.org/10.1111/j.1365-2559.2009.03325.x |
Status: | Published |
Publisher: | Wiley Blackwell |
Identification Number: | 10.1111/j.1365-2559.2009.03325.x |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:75822 |