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

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 ap

SUBMITTER: Mercan E 

PROVIDER: S-EPMC5788829 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature