Assessment of the efficacy and accuracy of cervical cytology screening with the Hologic Genius Digital Diagnostics System

IF 3.2 3区 医学 Q3 ONCOLOGY
Esther Elishaev MD, Lakshmi Harinath MD, Yuhong Ye MD, PhD, Jonee Matsko SCT, MB, Amy Colaizzi SCT, Stephanie Wharton SCT, Rohit Bhargava MD, Liron Pantanowitz MD, PhD, MHA, Matthew G. Hanna MD, Sarah Harrington PhD, Chengquan Zhao MD, PhD
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引用次数: 0

Abstract

Background

Medical technologies powered by artificial intelligence are quickly transforming into practical solutions by rapidly leveraging massive amounts of data processed via deep learning algorithms. There is a necessity to validate these innovative tools when integrated into clinical practice.

Methods

This study evaluated the performance of the Hologic Genius Digital Diagnostics System (HGDDS) with a cohort of 890 previously reviewed and diagnosed ThinPrep Papanicolaou (Pap) tests with the intent to deploy this system for routine clinical use. The study included all diagnostic categories of The Bethesda System, with follow-up tissue sampling performed within 6 months of abnormal Pap test results to serve as the ground truth.

Results

The HGDDS demonstrated excellent performance in detecting significant Pap test findings, with close to 100% sensitivity (98.2%–100%) for cases classified as atypical squamous cells of undetermined significance and above within a 95% confidence interval and a high negative predictive value (92.4%–100%).

Conclusions

The HGDDS streamlined workflow, reduced manual workload, and functioned as a stand-alone system.

Abstract Image

用Hologic Genius数字诊断系统评估宫颈细胞学筛查的有效性和准确性
人工智能驱动的医疗技术通过快速利用深度学习算法处理的大量数据,正在迅速转化为实用的解决方案。有必要在整合到临床实践时验证这些创新工具。本研究对Hologic Genius数字诊断系统(HGDDS)的性能进行了评估,研究对象为890例先前审查和诊断的ThinPrep Pap试验,目的是将该系统应用于常规临床应用。该研究包括Bethesda系统的所有诊断类别,并在6个月内对异常巴氏试验结果进行随访组织取样,以作为基本事实。结果HGDDS在检测显著的巴氏试验结果方面表现优异,在95%的置信区间内,对未确定显著性及以上的非典型鳞状细胞的敏感性接近100%(98.2%-100%),阴性预测值较高(92.4%-100%)。结论HGDDS简化了工作流程,减少了人工工作量,可以作为一个独立的系统使用。
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来源期刊
Cancer Cytopathology
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.
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