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Erschienen in: Journal of Digital Imaging 1/2018

05.07.2017

Characterizing Diagnostic Search Patterns in Digital Breast Pathology: Scanners and Drillers

verfasst von: Ezgi Mercan, Linda G. Shapiro, Tad T. Brunyé, Donald L. Weaver, Joann G. Elmore

Erschienen in: Journal of Imaging Informatics in Medicine | Ausgabe 1/2018

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Abstract

Following a baseline demographic survey, 87 pathologists interpreted 240 digital whole slide images of breast biopsy specimens representing a range of diagnostic categories from benign to atypia, ductal carcinoma in situ, and invasive cancer. A web-based viewer recorded pathologists’ behaviors while interpreting a subset of 60 randomly selected and randomly ordered slides. To characterize diagnostic search patterns, we used the viewport location, time stamp, and zoom level data to calculate four variables: average zoom level, maximum zoom level, zoom level variance, and scanning percentage. Two distinct search strategies were confirmed: scanning is characterized by panning at a constant zoom level, while drilling involves zooming in and out at various locations. Statistical analysis was applied to examine the associations of different visual interpretive strategies with pathologist characteristics, diagnostic accuracy, and efficiency. We found that females scanned more than males, and age was positively correlated with scanning percentage, while the facility size was negatively correlated. Throughout 60 cases, the scanning percentage and total interpretation time per slide decreased, and these two variables were positively correlated. The scanning percentage was not predictive of diagnostic accuracy. Increasing average zoom level, maximum zoom level, and zoom variance were correlated with over-interpretation.
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Metadaten
Titel
Characterizing Diagnostic Search Patterns in Digital Breast Pathology: Scanners and Drillers
verfasst von
Ezgi Mercan
Linda G. Shapiro
Tad T. Brunyé
Donald L. Weaver
Joann G. Elmore
Publikationsdatum
05.07.2017
Verlag
Springer International Publishing
Erschienen in
Journal of Imaging Informatics in Medicine / Ausgabe 1/2018
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-017-9990-5

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