Literature DB >> 8604565

Sensitivity of the AutoPap 300 QC System for cervical cytologic abnormalities. Biopsy data confirmation.

D C Wilbur1, T A Bonfiglio, M A Rutkowski, K M Atkison, R M Richart, J S Lee, S F Patten.   

Abstract

OBJECTIVE: To assess the AutoPap 300 QC System's sensitivity to cases of high grade squamous intraepithelial cervical lesion and invasive cervical cancer, a comparison of outcome was made in cases that had surgical biopsy confirmation. STUDY
DESIGN: The sensitivity of the device to biopsy-confirmed diagnostic categories at the level of high grade squamous intraepithelial lesion (HSIL) and greater was calculated. At two of six clinical trial sites, biopsy data were available and were compared to device scores indicating whether a case would or would not be selected for 10% or 20% quality control rescreening.
RESULTS: In 86 biopsy-positive cases that had a cytologic diagnosis of HSIL or greater, the device indicated inclusion in the 10% or 20% review fraction for 66 slides (77%) and 74 (86%), respectively. This figure indicated an approximately eightfold improvement in the ability of the device to include such cases for quality control rescreening when compared to a 10% random case selection process.
CONCLUSION: These data showed that the sensitivity of the AutoPap in identifying cases of HSIL and greater was similar to that previously calculated for these diagnostic categories in clinical trials, when calculated on the basis of an alternate or "higher" standard of tissue confirmation.

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Mesh:

Year:  1996        PMID: 8604565     DOI: 10.1159/000333593

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


  6 in total

1.  PCR based high risk HPV testing is superior to neural network based screening for predicting incident CIN III in women with normal cytology and borderline changes.

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2.  Time for evidence-based cytology.

Authors:  Pranab Dey
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3.  Alternative technologies in cervical cancer screening: a randomised evaluation trial.

Authors:  Ahti Anttila; Matti Hakama; Laura Kotaniemi-Talonen; Pekka Nieminen
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4.  Intelligent screening systems for cervical cancer.

Authors:  Yessi Jusman; Siew Cheok Ng; Noor Azuan Abu Osman
Journal:  ScientificWorldJournal       Date:  2014-05-11

5.  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

6.  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
  6 in total

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