Suppr超能文献

使用Techcyte SureView™系统提供的全玻片图像和人工智能,在宫颈细胞学工作流程中实施100%质量控制。

Implementing 100% quality control in a cervical cytology workflow using whole slide images and artificial intelligence provided by the Techcyte SureView™ System.

作者信息

Rivera Rolon Maria Del Mar, Gustafson Erik, Cole Riley, Matos Jaylene, Hicken Kellie, Hicks Jacob, Cahoon Brian, de Socarraz Mariano, Santa-Rosario Juan Carlos

机构信息

CorePlus, Carolina, Puerto Rico.

Techcyte, Orem, Utah, USA.

出版信息

Cancer Cytopathol. 2025 Jun;133(6):e70019. doi: 10.1002/cncy.70019.

Abstract

BACKGROUND

Recent advancements in digital pathology have extended into cytopathology. Laboratories screening cervical cytology specimens now choose between limited imaging options and traditional manual microscopy. The Techcyte SureView™ Cervical Cytology System, designed for digital cytopathology, was validated at CorePlus, a pathology laboratory in Puerto Rico, and adopted as a 100% quality control (QC) tool.

METHODS

The validation study included 1442 whole slide images (WSIs) from 1273 ThinPrep® and 169 SurePath™ cervical cytology slides, digitized with the 3DHISTECH Panoramic 1000 DX scanner using dry and water immersion scanning profiles. These WSIs were processed by the Techcyte SureView™ system, with a board-certified cytopathologist reviewing artificial intelligence (AI)-identified objects of interest and comparing them to traditional light microscopy results.

RESULTS

Techcyte SureView™ with the water immersion scanning profile outperformed both the dry scanning profile and light microscopy in detecting squamous and glandular abnormalities. It achieved 97% accuracy, 82% sensitivity, 99% specificity, 98% negative predictive value, and 86% positive predictive value. Additionally, the review time was rapid. The system has been operational for several months, enhancing accuracy and workflow efficiency.

CONCLUSIONS

This study demonstrates that digital cytopathology, particularly through the Techcyte SureView™ system, can improve laboratory workflow and performance. Successful validation led CorePlus to integrate the AI algorithm into their workflow as a 100% QC review tool, resulting in improved accuracy, benefiting both laboratory professionals and patients.

摘要

背景

数字病理学的最新进展已扩展到细胞病理学领域。目前,筛查宫颈细胞学标本的实验室需要在有限的成像选项和传统的手工显微镜检查之间做出选择。专为数字细胞病理学设计的Techcyte SureView™宫颈细胞学系统在波多黎各的一家病理实验室CorePlus进行了验证,并被用作100%的质量控制(QC)工具。

方法

验证研究包括来自1273张ThinPrep®和169张SurePath™宫颈细胞学载玻片的1442张全玻片图像(WSIs),使用干式和水浸扫描模式通过3DHISTECH全景1000 DX扫描仪进行数字化处理。这些WSIs由Techcyte SureView™系统进行处理,由一名获得董事会认证的细胞病理学家对人工智能(AI)识别出的感兴趣对象进行审查,并将其与传统光学显微镜检查结果进行比较。

结果

采用水浸扫描模式的Techcyte SureView™在检测鳞状和腺性异常方面优于干式扫描模式和光学显微镜检查。其准确率达到97%,灵敏度为82%,特异性为99%,阴性预测值为98%,阳性预测值为86%。此外,审查时间很快。该系统已经运行了几个月,提高了准确性和工作流程效率。

结论

本研究表明,数字细胞病理学,特别是通过Techcyte SureView™系统,可以改善实验室工作流程和性能。成功的验证促使CorePlus将AI算法作为100%的QC审查工具整合到其工作流程中,从而提高了准确性,使实验室专业人员和患者都受益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50bf/12087438/4da1aeedd4a8/CNCY-133-0-g004.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验