Literature DB >> 9479343

The AutoPap system for primary screening in cervical cytology. Comparing the results of a prospective, intended-use study with routine manual practice.

D C Wilbur1, M U Prey, W M Miller, G F Pawlick, T J Colgan.   

Abstract

OBJECTIVE: To evaluate the effectiveness of the AutoPap System in detecting abnormal and normal cervical smears when used in a primary screening/quality control mode, as compared with currently established laboratory practices. STUDY
DESIGN: Slides were obtained prospectively and were initially processed in the routine fashion with cytotechnologist screening followed by 10% random quality control rescreening. Slides were then processed on the AutoPap System and allocated into the following groups: (1) approximately 25% of the lowest-ranking slides were placed in the laboratory's archives as within normal limits; (2) the remaining approximately 75% of slides were subjected to manual screening. Approximately 15% of the highest-ranking slides in this group underwent quality control rescreening. For each slide needing manual screening, the cytotechnologist was supplied with a report giving the ranking score of that slide. All discrepant slides for either adequacy or diagnosis were subjected to a truth-determination process. The results obtained from the two arms of the protocol were then compared.
RESULTS: The AutoPap System-assisted arm of the study was superior to the current practice arm for the identification of abnormal slides at the level of atypical squamous cells of undetermined significance and above (ASCUS+), low grade squamous intraepithelial lesion (LSIL) and higher LSIL+. AutoPap System-assisted practice was equivalent to current practice for the identification of unsatisfactory and satisfactory but limited by slides. All results showed statistical significance. In addition, AutoPap System-assisted practice in the study indicated improved specificity of diagnosis.
CONCLUSION: AutoPap System-assisted practice shows superior sensitivity and specificity when compared to current practice. Its clinical use as a primary screening device should improve the overall practice of cervical cytology as well as provide potential enhancement in overall laboratory productivity.

Entities:  

Mesh:

Year:  1998        PMID: 9479343     DOI: 10.1159/000331549

Source DB:  PubMed          Journal:  Acta Cytol        ISSN: 0001-5547            Impact factor:   2.319


  10 in total

Review 1.  [Computer-assisted diagnostics in cervical cytology].

Authors:  H Ikenberg
Journal:  Pathologe       Date:  2011-11       Impact factor: 1.011

2.  Cervical cancer: epidemiology, prevention and the role of human papillomavirus infection.

Authors:  E L Franco; E Duarte-Franco; A Ferenczy
Journal:  CMAJ       Date:  2001-04-03       Impact factor: 8.262

3.  Nuclear image analysis study of neuroendocrine tumors.

Authors:  Meeja Park; Taehwa Baek; Jongho Baek; Hyunjin Son; Dongwook Kang; Jooheon Kim; Hyekyung Lee
Journal:  Korean J Pathol       Date:  2012-02-23

4.  Time for evidence-based cytology.

Authors:  Pranab Dey
Journal:  Cytojournal       Date:  2007-01-08       Impact factor: 2.091

5.  Primary screening for cervical cancer precursors by the combined use of liquid-based cytology, computer-assisted cytology and HPV DNA testing.

Authors:  P Vassilakos; P Petignat; M Boulvain; A Campana
Journal:  Br J Cancer       Date:  2002-02-01       Impact factor: 7.640

6.  A Deep Learning Model for Cervical Cancer Screening on Liquid-Based Cytology Specimens in Whole Slide Images.

Authors:  Fahdi Kanavati; Naoki Hirose; Takahiro Ishii; Ayaka Fukuda; Shin Ichihara; Masayuki Tsuneki
Journal:  Cancers (Basel)       Date:  2022-02-24       Impact factor: 6.639

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.  Quality control for normal liquid-based cytology: rescreening, high-risk HPV targeted reviewing and/or high-risk HPV detection?

Authors:  Christophe E Depuydt; Marc Arbyn; Ina H Benoy; Johan Vandepitte; Annie J Vereecken; Johannes J Bogers
Journal:  J Cell Mol Med       Date:  2008-06-09       Impact factor: 5.310

9.  Pilot Study of an Open-source Image Analysis Software for Automated Screening of Conventional Cervical Smears.

Authors:  Parikshit Sanyal; Prosenjit Ganguli; Sanghita Barui; Prabal Deb
Journal:  J Cytol       Date:  2018 Apr-Jun       Impact factor: 1.000

10.  An evaluation of the construction of the device along with the software for digital archiving, sending the data, and supporting the diagnosis of cervical cancer.

Authors:  Łukasz Lasyk; Jakub Barbasz; Paweł Żuk; Artur Prusaczyk; Tomasz Włodarczyk; Ewa Prokurat; Wojciech Olszewski; Mariusz Bidziński; Piotr Baszuk; Jacek Gronwald
Journal:  Contemp Oncol (Pozn)       Date:  2019-10-31
  10 in total

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