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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Best Practice & Rese...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Best Practice & Research Clinical Obstetrics & Gynaecology
Article . 2011 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Cytology, liquid-based cytology and automation

Authors: John H F Smith;

Cytology, liquid-based cytology and automation

Abstract

Quality-assured, comprehensive, cytology-based population screening programmes have resulted in a substantial decline in the incidence of, and mortality from, cervical cancer. Cytology classification systems divide squamous cell abnormalities into low grade and high grade. Women with high-grade squamous abnormalities, cytology suggestive of glandular neoplasia, or invasive disease are referred immediately for investigation. Previously, the optimal management of women with low-grade cytology was uncertain. The introduction of liquid-based cytology has improved specimen adequacy and laboratory productivity, and also provided the platform for human papillomavirus testing for triage of low-grade abnormality, follow up after treatment and, ultimately, primary screening with triage to cytology, particularly in HPV-vaccinated populations. Liquid-based cytology is also ideal for automation-assisted reading of cervical cytology samples; however, recent studies have reported that automation-assisted reading is less sensitive than manual reading and does not reduce the risk of cervical cancer.

Keywords

Automation, Laboratory, Vaginal Smears, Cytodiagnosis, Carcinoma, Squamous Cell, Humans, Uterine Cervical Neoplasms, Female, Adenocarcinoma, Early Detection of Cancer

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Average
Average
Related to Research communities
Cancer Research
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