Characterizing Diagnostic Search Patterns in Digital Breast Pathology: Scanners and Drillers.
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...
| Publicado en: | Journal of Digital Imaging Vol. 31; no. 1; pp. 32 - 42 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Feb2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=127707191&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 127707191 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Feb2018 vid: 31 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 127707191 127707191 144008037 127707191 10.1007/s10278-017-9990-5 127707191 ppf: 32 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Characterizing Diagnostic Search Patterns in Digital Breast Pathology: Scanners and Drillers. aug: au: Mercan, Ezgi Shapiro, Linda G. Brunyé, Tad T. Weaver, Donald L. Elmore, Joann G. affil: Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA sug: subj: Decision Making, Clinical Breast Neoplasms Diagnosis Pathologists Human Biopsy Repeated Measures Analysis of Variance Adult Middle Age Aged Female Male T-Tests P-Value Funding Source Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Female Male ab: 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: <italic>scanning</italic> is characterized by panning at a constant zoom level, while <italic>drilling</italic> 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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