Conventional liquid-based techniques versus Cytyc Thinprep® processing of urinary samples: a qualitative approach

Author:

Piaton Eric,Faÿnel Jacqueline,Hutin Karine,Ranchin Marie-Claude,Cottier Michèle

Abstract

Abstract Background The aim of our study was to objectively compare Cytyc Thinprep® and other methods of obtaining thin layer cytologic preparations (cytocentrifugation, direct smearing and Millipore® filtration) in urine cytopathology. Methods Thinprep slides were compared to direct smears in 79 cases. Cytocentrifugation carried out with the Thermo Shandon Cytospin® 4 was compared to Thinprep in 106 cases, and comparison with Millipore filtration followed by blotting was obtained in 22 cases. Quality was assessed by scoring cellularity, fixation, red blood cells, leukocytes and nuclear abnormalities. Results The data show that 1) smearing allows good overall results to be obtained, 2) Cytocentrifugation with reusable TPX® chambers should be avoided, 3) Cytocentrifugation using disposable chambers (Cytofunnels® or Megafunnel® chambers) gives excellent results equalling or surpassing Thinprep and 4) Millipore filtration should be avoided, owing to its poor global quality. Despite differences in quality, the techniques studied have no impact on the diagnostic accuracy as evaluated by the rate of abnormalities. Conclusion We conclude that conventional methods such as cytocentrifugation remain the most appropriate ones for current treatment of urinary samples. Cytyc Thinprep processing, owing to its cost, could be used essentially for cytology-based molecular studies.

Publisher

Springer Science and Business Media LLC

Subject

Histology,Pathology and Forensic Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3