Literature DB >> 8621186

Automated screening of cervical cytology specimens.

G G Birdsong1.   

Abstract

After more than four decades of research into automation of the process of screening Papanicolaou (Pap) smears, attempts to develop commercially viable automated screening machines have increased in recent years. These developments have been made possible in part because of the improving price-to-performance ratios in computers and other electronics. Although the Pap smear has been responsible for a very significant decrease in mortality of cervical cancer over the past 40 years, concern has arisen over false-negative cases, with their effects on patients, and the associated legal liability, particularly in the United States. In addition, shortages of cytotechnologists, which have been exacerbated by new regulations limiting the number of slides that may be examined per day, have caused concern about handling the workload, which will probably increase as more individuals gain access to preventive health care. Automated screening machines can potentially allow detection of abnormal cases that are missed with conventional screening, although they may substantially increase the cost of Pap smears. The use of automated screening machines represents a change in the way cervical cytology specimens are processed, and with some machines, a significant change in the operation of the cytology laboratory. Current methods for processing and evaluating Pap smears have not changed significantly for the past four decades. This review discusses some of the principles of operation and practical aspects of automated screening machines.

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Year:  1996        PMID: 8621186     DOI: 10.1016/s0046-8177(96)90090-8

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  5 in total

1.  Comparison of ThinPrep Integrated Imager-Assisted Screening versus Manual Screening of ThinPrep Liquid-Based Cytology Specimens.

Authors:  Kyoko Tanaka; Daisuke Aoki; Akiko Tozawa-Ono; Nao Suzuki; Kiyoshi Takamatsu; Masaru Nakamura; Hajime Tsunoda; Shigeo Seino; Noriko Kobayashi; Takefumi Shirayama; Fumiaki Takahashi
Journal:  Acta Cytol       Date:  2020-06-12       Impact factor: 2.319

2.  Graph-based segmentation of abnormal nuclei in cervical cytology.

Authors:  Ling Zhang; Hui Kong; Shaoxiong Liu; Tianfu Wang; Siping Chen; Milan Sonka
Journal:  Comput Med Imaging Graph       Date:  2017-01-31       Impact factor: 4.790

3.  Diagnostic Management of Oncogenic HPV Cervical Infections: The Field Experience in Wuxi, China.

Authors:  Yang Liu; Yongxiang Yin; Yi Zhang; Luling Lin; Min Zhao; Qi Chen
Journal:  Front Med (Lausanne)       Date:  2022-03-22

Review 4.  Liquid-based cytology: Technical aspects.

Authors:  Manjiri Milind Makde; Prajakta Sathawane
Journal:  Cytojournal       Date:  2022-06-14       Impact factor: 2.345

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

  5 in total

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