Literature DB >> 1877527

The efficacy of an automated preparation device for cervical cytology.

M L Hutchinson1, C M Cassin, H G Ball.   

Abstract

A new automated method for collecting and preparing cells for cytologic screening (termed the ThinPrep process) was tested. Four hundred forty-nine specimens prepared by ThinPrep and conventional methods were evaluated. This study compared specimen adequacy and detection of disease with the two methods. For the ThinPrep method, exfoliated cells were collected in suspension, gently dispersed, collected on a polycarbonate filter, and transferred to a glass slide. The ThinPrep method reduced the number of smears that lacked endocervical columnar cells by 24%. Significant improvement with the ThinPrep, versus the conventional method, also was found for detection of low-grade cervical intraepithelial lesions. Thus, the ThinPrep method improved specimen quality and reliability of cytologic detection of cervical neoplasia.

Entities:  

Mesh:

Year:  1991        PMID: 1877527     DOI: 10.1093/ajcp/96.3.300

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


  6 in total

Review 1.  [Cytomics and predictive medicine for oncology].

Authors:  A O H Gerstner; W Laffers
Journal:  HNO       Date:  2008-04       Impact factor: 1.284

Review 2.  Cervical cancer: developments in screening and evaluation of the abnormal Pap smear.

Authors:  J M Walsh
Journal:  West J Med       Date:  1998-11

3.  Early detection in head and neck cancer - current state and future perspectives.

Authors:  Andreas O H Gerstner
Journal:  GMS Curr Top Otorhinolaryngol Head Neck Surg       Date:  2010-10-07

4.  Application of ThinPrep bronchial brushing cytology in the early diagnosis of lung cancer: a retrospective study.

Authors:  Chaoying Liu; Zhongmei Wen; Yang Li; Liping Peng
Journal:  PLoS One       Date:  2014-04-23       Impact factor: 3.240

5.  A screening assistance system for cervical cytology of squamous cell atypia based on a two-step combined CNN algorithm with label smoothing.

Authors:  Yuta Nambu; Tasuku Mariya; Shota Shinkai; Mina Umemoto; Hiroko Asanuma; Ikuma Sato; Yoshihiko Hirohashi; Toshihiko Torigoe; Yuichi Fujino; Tsuyoshi Saito
Journal:  Cancer Med       Date:  2021-11-28       Impact factor: 4.452

Review 6.  Screening for cervical cancer using automated analysis of PAP-smears.

Authors:  Ewert Bengtsson; Patrik Malm
Journal:  Comput Math Methods Med       Date:  2014-03-20       Impact factor: 2.238

  6 in total

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