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Internet-Based Gynecologic Telecytology With Remote Automated Image Selection

2008; Oxford University Press; Volume: 129; Issue: 5 Linguagem: Inglês

10.1309/grav16qp8jr5xtpf

1943-7722

John H. Eichhorn, Leigh Buckner, Sally Beth Buckner, David P. Beech, K. A. Harris, Douglas J. McClure, Barbara A. Crothersx, David C. Wilbur,

Cancer Genomics and Diagnostics

A retrospective set of 191 gynecologic cytology slides with reference interpretations was run on an automated screening device that selects fields of view (FOVs) based on a hierarchical probability of abnormality being present. An interface was developed between the device and a remote server using customized image review software. FOVs were reviewed by 3 cytotechnologists and 3 cytopathologists, and binary triage (unsatisfactory for evaluation/negative for intraepithelial lesion or malignancy [NILM] vs "abnormal" [neither unsatisfactory nor NILM]) and specific interpretations were done. No morphologic training before FOV review was provided. Three or more reviewers agreed on the correct categorization of NILM/unsatisfactory in 89% (85/96) and abnormal in 83% (79/95). Three or more reviewers triaged cases to abnormal as follows: atypical squamous cells of uncertain significance, 83% (5/6); atypical squamous cells, cannot exclude high-grade lesion, 100% (3/3); low-grade squamous intraepithelial lesion (SIL), 83% (52/63); high-grade SIL, 94% (17/18); and atypical glandular cells, 40% (2/5). This procedure may have comparable sensitivity and specificity and possibly could provide effective initial triage to further evaluation. A review of individual cases suggests that further accuracy can be achieved with additional training and experience.