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[计算机辅助重新筛查巴氏染色的宫颈阴道涂片。关于225例病例对PAPNET系统的评估]

[Computer-assisted rescreening of cervicovaginal smears stained by the Papanicolaou method. Evaluation of the PAPNET system apropos of 225 cases].

作者信息

Vuong P N, Vacher-Lavenu M C, Marsan C, Baviera E

机构信息

Laboratoire d'Anatomie et de Cytologie Pathologiques, Bièvres.

出版信息

Arch Anat Cytol Pathol. 1995;43(3):147-53.

PMID:7574913
Abstract

The risk of false-negative smears is currently the main criticism of conventional cytological diagnosis of cervical cancer. None of the palliative methods (rescreening of a certain number of smears, external and internal laboratory controls, screener's training, European recommendations for Quality Assurance ...) are completely accurate. This explains the attempt to use automated screening of smears. The PAPNET screening system which allows recognition of possibly abnormal smears appears to be sufficiently effective. In this study, the authors report their personal experience based on a series of 225 cases. Moreover, when used wisely, this system may represent a useful teaching tool as well as a means of cytopathology Quality Assurance.

摘要

目前,涂片假阴性风险是宫颈癌传统细胞学诊断的主要诟病之处。所有姑息性方法(对一定数量的涂片进行重新筛查、内外部实验室质控、筛查人员培训、欧洲质量保证建议……)都并非完全准确。这就解释了为何有人尝试使用涂片自动筛查。PAPNET筛查系统能够识别可能异常的涂片,似乎足够有效。在本研究中,作者报告了基于225例病例系列的个人经验。此外,若明智使用,该系统可能代表一种有用的教学工具以及细胞病理学质量保证手段。

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