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

IF 2.6 3区医学 Q3 ONCOLOGY

Cancer Cytopathology Pub Date : 2025-05-19 DOI:10.1002/cncy.70019

Maria del Mar Rivera Rolon MD, FCAP, Erik Gustafson PhD, Riley Cole BA, MA, Jaylene Matos CT (ASCP), CM, Kellie Hicken CT (ASCP), BS, Jacob Hicks BS, MBA, Brian Cahoon BS, MBA, Mariano de Socarraz, Juan Carlos Santa-Rosario MD, FCAP, FASCP

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引用次数: 0

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.

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使用Techcyte SureView™系统提供的整个幻灯片图像和人工智能，在宫颈细胞学工作流程中实施100%的质量控制

最近数字病理学的进展已经扩展到细胞病理学。筛选宫颈细胞学标本的实验室现在在有限的成像选项和传统的人工显微镜之间进行选择。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CorePlus病理实验室进行了验证，并被采用为100%质量控制（QC）工具。方法验证研究包括1442张全片图像（wsi），来自1273张ThinPrep®和169张SurePath™宫颈细胞学切片，使用3DHISTECH全景1000 DX扫描仪使用干式和水浸式扫描剖面进行数字化。这些wsi由Techcyte SureView™系统处理，由委员会认证的细胞病理学家审查人工智能（AI）识别的感兴趣对象，并将其与传统光学显微镜结果进行比较。结果采用水浸扫描技术的Techcyte SureView™在检测鳞状和腺体异常方面优于干燥扫描和光学显微镜。准确率97%，灵敏度82%，特异性99%，阴性预测值98%，阳性预测值86%。另外，复习时间也很快。该系统已经运行了几个月，提高了准确性和工作效率。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。成功的验证使CorePlus将人工智能算法集成到他们的工作流程中，作为100%的QC审查工具，从而提高了准确性，使实验室专业人员和患者都受益。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cancer Cytopathology 医学-病理学

CiteScore

7.00

自引率

17.60%

发文量

130

审稿时长

1 months

期刊介绍： Cancer Cytopathology provides a unique forum for interaction and dissemination of original research and educational information relevant to the practice of cytopathology and its related oncologic disciplines. The journal strives to have a positive effect on cancer prevention, early detection, diagnosis, and cure by the publication of high-quality content. The mission of Cancer Cytopathology is to present and inform readers of new applications, technological advances, cutting-edge research, novel applications of molecular techniques, and relevant review articles related to cytopathology.