Literature DB >> 18426727

Internet-based gynecologic telecytology with remote automated image selection: results of a first-phase developmental trial.

John H Eichhorn1, Leigh Buckner, Sally Beth Buckner, David P Beech, Kimberly A Harris, Douglas J McClure, Barbara A Crothers, David C Wilbur.   

Abstract

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.

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Year:  2008        PMID: 18426727     DOI: 10.1309/GRAV16QP8JR5XTPF

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  8 in total

Review 1.  The Empirical Foundations of Telepathology: Evidence of Feasibility and Intermediate Effects.

Authors:  Rashid L Bashshur; Elizabeth A Krupinski; Ronald S Weinstein; Matthew R Dunn; Noura Bashshur
Journal:  Telemed J E Health       Date:  2017-02-07       Impact factor: 3.536

2.  Digital imaging in cytopathology.

Authors:  Walid E Khalbuss; Liron Pantanowitz; Anil V Parwani
Journal:  Patholog Res Int       Date:  2011-07-19

3.  Telecytology: Clinical applications, current challenges, and future benefits.

Authors:  Michael Thrall; Liron Pantanowitz; Walid Khalbuss
Journal:  J Pathol Inform       Date:  2011-12-26

4.  Evaluation and optimization for liquid-based preparation cytology in whole slide imaging.

Authors:  Roy E Lee; David S McClintock; Nora M Laver; Yukako Yagi
Journal:  J Pathol Inform       Date:  2011-10-19

5.  Virtual microscopy in cytotechnology education: Application of knowledge from virtual to glass.

Authors:  Amber D Donnelly; Maheswari S Mukherjee; Elizabeth R Lyden; Stanley J Radio
Journal:  Cytojournal       Date:  2012-04-30       Impact factor: 2.091

6.  Using Image Registration and Machine Learning to Develop a Workstation Tool for Rapid Analysis of Glomeruli in Medical Renal Biopsies.

Authors:  David C Wilbur; Jason R Pettus; Maxwell L Smith; Lynn D Cornell; Alexander Andryushkin; Richard Wingard; Eric Wirch
Journal:  J Pathol Inform       Date:  2020-11-07

7.  The impact of digital imaging in the field of cytopathology.

Authors:  Liron Pantanowitz; Maryanne Hornish; Robert A Goulart
Journal:  Cytojournal       Date:  2009-03-06       Impact factor: 2.091

8.  Utilization of virtual microscopy in cytotechnology educational programs in the United States.

Authors:  Maheswari S Mukherjee; Amber D Donnelly; Vincent J DeAgano; Elizabeth R Lyden; Stanley J Radio
Journal:  J Pathol Inform       Date:  2016-03-01
  8 in total

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