Postgraduate Program in Biotechnology, Biological Sciences Research Center (NUPEB), Federal University of Ouro Preto, Ouro Preto, MG, Brazil.
Cytology Laboratory, Clinical Analysis Department, Federal University of Ouro Preto, Ouro Preto, MG, Brazil.
Diagn Cytopathol. 2021 Apr;49(4):559-574. doi: 10.1002/dc.24708. Epub 2021 Feb 6.
Cervical cancer progresses slowly, increasing the chance of early detection of pre-neoplastic lesions via Pap exam test and subsequently preventing deaths. However, the exam presents both false-negatives and false-positives results. Therefore, automatic methods (AMs) of reading the Pap test have been used to improve the quality control of the exam. We performed a literature review to evaluate the feasibility of implementing AMs in laboratories.
This work reviewed scientific publications regarding automated cytology from the last 15 years. The terms used were "Papanicolaou test" and "Automated cytology screening" in Portuguese, English, and Spanish, in the three scientific databases (SCIELO, PUBMED, MEDLINE).
Of the resulting 787 articles, 34 were selected for a complete review, including three AMs: ThinPrep Imaging System, FocalPoint GS Imaging System and CytoProcessor. In total, 1 317 148 cytopathological slides were evaluated automatically, with 1 308 028 (99.3%) liquid-based cytology slides and 9120 (0.7%) conventional cytology smears. The AM diagnostic performances were statistically equal to or better than those of the manual method. AM use increased the detection of cellular abnormalities and reduced false-negatives. The average sample rejection rate was ≤3.5%.
AMs are relevant in quality control during the analytical phase of cervical cancer screening. This technology eliminates slide-handling steps and reduces the sample space, allowing professionals to focus on diagnostic interpretation while maintaining high-level care, which can reduce false-negatives. Further studies with conventional cytology are needed. The use of AM is still not so widespread in cytopathology laboratories.
宫颈癌的发展较为缓慢,这使得巴氏涂片检查(Pap 试验)有机会早期发现癌前病变,从而预防死亡。然而,该检查存在假阴性和假阳性结果。因此,人们已经使用自动方法(AMs)来阅读巴氏涂片检查,以提高检查的质量控制。我们进行了文献综述,以评估在实验室中实施 AM 的可行性。
这项工作回顾了过去 15 年关于自动化细胞学的科学出版物。使用的术语是葡萄牙语、英语和西班牙语的“巴氏涂片检查”和“自动化细胞学筛查”,在三个科学数据库(SICLO、PubMed、MEDLINE)中检索。
从产生的 787 篇文章中,选择了 34 篇进行全面审查,其中包括 3 种 AM:ThinPrep 成像系统、FocalPoint GS 成像系统和 CytoProcessor。总共自动评估了 1 317 148 张细胞学幻灯片,其中 1 308 028 张(99.3%)为液基细胞学幻灯片,9120 张(0.7%)为传统细胞学涂片。AM 的诊断性能在统计学上与手动方法相等或更好。AM 的使用增加了细胞异常的检出率,减少了假阴性。平均样本拒收率≤3.5%。
AMs 在宫颈癌筛查的分析阶段的质量控制中非常重要。该技术消除了载玻片处理步骤,减少了样本空间,使专业人员能够专注于诊断解释,同时保持高水平的护理,从而减少假阴性。需要进一步进行与传统细胞学相关的研究。AMs 在细胞学实验室中的应用还不是很广泛。