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细胞病理学中的自动化

Automation in cytopathology.

作者信息

Linder J

机构信息

Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha 69198-3587.

出版信息

Am J Clin Pathol. 1992 Oct;98(4 Suppl 1):S47-S51.

PMID:1344705
Abstract

Machine-aided screening of cervical Papanicolaou (Pap) smears is being pursued in response to a cytotechnologist shortage and a perception that computer-aided screening may improve human screening. Several different commercial efforts are underway to automate either the processing of cervical specimens or the screening of Pap smears and nongynecologic specimens. The technical approaches used by these manufacturers are varied and include traditional algorithmic computers, expert systems, and neural networks, alone or in combination. Alternatives to cell smears on glass slides are also being studied, in which monolayer cell preparations facilitate the analysis of the cells. It is not possible to suggest what approach to automation in cytology is preferred at this time. Preliminary studies of different systems suggest several of them may have sensitivity to detect intraepithelial abnormalities in excess of 95%. It is likely that these technologies will significantly aid the analysis of cytologic specimens.

摘要

鉴于细胞技术专家短缺以及人们认为计算机辅助筛查可能会改善人工筛查的情况,目前正在开展机器辅助的宫颈巴氏涂片筛查。有几家不同的商业机构正在努力实现宫颈标本处理或巴氏涂片及非妇科标本筛查的自动化。这些制造商所采用的技术方法各不相同,包括传统的算法计算机、专家系统和神经网络,单独使用或组合使用。玻璃载玻片上细胞涂片的替代方法也在研究中,单层细胞制剂有助于细胞分析。目前还无法指出细胞学自动化首选哪种方法。对不同系统的初步研究表明,其中一些系统检测上皮内异常的灵敏度可能超过95%。这些技术很可能会极大地辅助细胞学标本的分析。

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