Crowell Elizabeth F, Bazin Cyril, Thurotte Vianney, Elie Hubert, Jitaru Laurette, Olivier Grégoire, Caillot Yann, Brixtel Romain, Lesner Boris, Toutain Matthieu, Renouf Arnaud
Research Division, DATEXIM, Caen, France.
Centre Hospitalier Public du Cotentin, Cherbourg-en-Cotentin, France.
Diagn Cytopathol. 2019 Sep;47(9):890-897. doi: 10.1002/dc.24213. Epub 2019 May 20.
Current automated cervical cytology screening systems require purchase of a dedicated preparation machine and use of a specific staining protocol. CytoProcessor (DATEXIM, Caen, France) is a new automated system, designed to integrate seamlessly into the laboratory's existing workflow. We previously demonstrated the superior performance of CytoProcessor for diagnosis of ThinPrep slides compared to the ThinPrep Imaging System (HOLOGIC, Marlborough, MA). Next, we analyzed whether CytoProcessor technology can be adapted for use on Novaprep slides.
Using artificial intelligence, we developed a new algorithm in CytoProcessor for the analysis of slides prepared using the NOVAPREP Processor System NPS50 (Novacyt, Vélizy-Villacoublay, France). A representative population of 309 cases was selected from the routine workflow in a public hospital. We compared the diagnoses made using CytoProcessor or conventional screening with a microscope. All discordances were resolved by a consensus committee.
The performance of CytoProcessor in terms of diagnostic accuracy on Novaprep slides was very similar to that observed previously on ThinPrep slides. Compared to conventional screening, CytoProcessor slightly improves diagnostic sensitivity while maintaining a statistically equivalent specificity. Diagnosis was reached 1.6 times faster with CytoProcessor compared to using a microscope.
CytoProcessor is a robust automated cervical cytology screening system that can be used successfully with samples having very different characteristics. As previously shown, CytoProcessor confers significant gains in processing time and diagnostic precision. CytoProcessor is accessible through a secured internet connection, making remote diagnosis of Papanicolaou tests possible.
当前的自动化宫颈细胞学筛查系统需要购买专用的制片机器并使用特定的染色方案。CytoProcessor(法国卡昂的DATEXIM公司)是一种新型自动化系统,旨在无缝集成到实验室现有的工作流程中。我们之前证明了与ThinPrep成像系统(美国马萨诸塞州马尔伯勒的HOLOGIC公司)相比,CytoProcessor在诊断ThinPrep玻片方面具有卓越性能。接下来,我们分析了CytoProcessor技术是否可适用于Novaprep玻片。
我们利用人工智能在CytoProcessor中开发了一种新算法,用于分析使用NOVAPREP处理器系统NPS50(法国维利齐 - 维拉库布莱的Novacyt公司)制备的玻片样本。从一家公立医院常规工作流程中选取了309例具有代表性的病例。我们将使用CytoProcessor得出的诊断结果与使用显微镜进行的传统筛查诊断结果进行了比较。所有不一致的情况均由一个共识委员会解决。
CytoProcessor在Novaprep玻片诊断准确性方面的表现与之前在ThinPrep玻片上观察到的非常相似与传统筛查相比,CytoProcessor在保持统计学上等效特异性的同时,略微提高了诊断敏感性使用CytoProcessor进行诊断的速度比使用显微镜快1.6倍。
CytoProcessor是一种强大的自动化宫颈细胞学筛查系统,可成功用于具有非常不同特征的样本。如前所示,CytoProcessor在处理时间和诊断精度方面有显著提升。通过安全的互联网连接可以访问CytoProcessor,使得巴氏试验的远程诊断成为可能。