Suppr超能文献

细胞病理学中的感染性生物体鉴定:辅助诊断技术综述。

Identification of infectious organisms in cytopathology: A review of ancillary diagnostic techniques.

机构信息

Department of Pathology, The Johns Hopkins Hospital, Baltimore, Maryland.

出版信息

Cancer Cytopathol. 2018 Aug;126 Suppl 8:643-653. doi: 10.1002/cncy.22023.

Abstract

Cytology samples obtained from exfoliative sources and fine-needle aspiration (FNA) procedures can all be used to detect microorganisms and/or the associated cytopathologic effects (CPE) caused by an infection. There are many advantages to utilizing cytology samples as an adjunct to routine microbiology laboratory methods. For example, cytology samples can be obtained by non-invasive and minimally invasive techniques, and interpretation is affordable, accurate, and fast. Furthermore, routine cytology stains, including the Papanicolaou (Pap) and the Diff-Quik (DQ) stains, can adequately identify a number of microorganisms. Finally, material obtained by these procedures can also be used for cytologic ancillary testing, microbiology culture, and molecular studies. Currently, there are a variety of ancillary diagnostic techniques that are routinely utilized in the cytopathology laboratory. Additionally, the increasing utilization of molecular-based, diagnostic techniques on fluid specimens, as well as FFPE material, is expanding the role of cytopathology for infectious disease diagnostics. In this review, we provide an overview of the most practical ancillary techniques commonly used to identify microorganisms on cytology specimens.

摘要

细胞学样本可来源于脱落细胞来源和细针抽吸(FNA)程序,均可用于检测感染引起的微生物和/或相关的细胞病理学效应(CPE)。利用细胞学样本作为常规微生物学实验室方法的辅助手段有很多优势。例如,细胞学样本可通过非侵入性和微创技术获得,且解释经济、准确且快速。此外,常规细胞学染色,包括巴氏(Pap)和 Diff-Quik(DQ)染色,足以识别许多微生物。最后,这些程序获得的材料还可用于细胞学辅助检测、微生物培养和分子研究。目前,在细胞病理学实验室中常规使用各种辅助诊断技术。此外,越来越多地在体液标本和 FFPE 材料上使用基于分子的诊断技术,正在扩大细胞病理学在传染病诊断中的作用。在这篇综述中,我们提供了常用于识别细胞学标本中微生物的最实用辅助技术概述。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验