Analysis of the sensitivity of high-grade squamous intraepithelial lesion Pap diagnosis and interobserver variability with the Hologic Genius Digital Diagnostics System.

IF 2.6 3区 医学 Q3 ONCOLOGY Cancer Cytopathology Pub Date : 2024-11-05 DOI:10.1002/cncy.22918
Lakshmi Harinath, Esther Elishaev, Yuhong Ye, Jonee Matsko, Amy Colaizzi, Stephanie Wharton, Rohit Bhargava, Liron Pantanowitz, Chengquan Zhao
{"title":"Analysis of the sensitivity of high-grade squamous intraepithelial lesion Pap diagnosis and interobserver variability with the Hologic Genius Digital Diagnostics System.","authors":"Lakshmi Harinath, Esther Elishaev, Yuhong Ye, Jonee Matsko, Amy Colaizzi, Stephanie Wharton, Rohit Bhargava, Liron Pantanowitz, Chengquan Zhao","doi":"10.1002/cncy.22918","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Artificial intelligence (AI)-based systems are transforming cytopathology practice. The aim of this study was to evaluate the sensitivity of high-grade squamous intraepithelial lesion (HSIL) Papanicolaou (Pap) diagnosis assisted by the Hologic Genius Digital Diagnostics System (GDDS).</p><p><strong>Methods: </strong>A validation study was performed with 890 ThinPrep Pap tests with the GDDS independently. From this set, a subset of 183 cases originally interpreted as HSIL confirmed histologically were included in this study. The sensitivity for detecting HSIL by three cytopathologists was calculated.</p><p><strong>Results: </strong>Most HSIL cases were classified as atypical glandular cell/atypical squamous cell-high grade not excluded (AGC/ASC-H) and above by all cytopathologists. Of these cases, 11.5% were classified as low-grade squamous intraepithelial lesion (LSIL) by pathologist A (P-A), 6% by pathologist B (P-B), and 5.5% by pathologist C (P-C); 3.8%, 2.7%, and 1.6% of these cases were classified as atypical squamous cell of unknown significance (ASC-US) by P-A, P-B, and P-C, respectively. The sensitivity for detection of cervical intraepithelial neoplasia 2 and above (CIN2+) lesions was 100% if ASC-US and above (ASC-US+) abnormalities were counted among all three pathologists. The sensitivity for detection of CIN2+ lesions was 84.7%, 91.3%, and 92.9% by P-A, P-B, and P-C, respectively, for ASC-H and above abnormalities. The Kendall W coefficient was 0.722, which indicated strong agreement between all pathologists.</p><p><strong>Conclusions: </strong>New-generation AI-assisted Pap test screening systems such as the GDDS have the potential to transform cytology practice. In this study, the GDDS aided in interpreting HSIL in ThinPrep Pap tests, with good sensitivity and agreement between the pathologists who interacted with this system.</p>","PeriodicalId":9410,"journal":{"name":"Cancer Cytopathology","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Cytopathology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/cncy.22918","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Artificial intelligence (AI)-based systems are transforming cytopathology practice. The aim of this study was to evaluate the sensitivity of high-grade squamous intraepithelial lesion (HSIL) Papanicolaou (Pap) diagnosis assisted by the Hologic Genius Digital Diagnostics System (GDDS).

Methods: A validation study was performed with 890 ThinPrep Pap tests with the GDDS independently. From this set, a subset of 183 cases originally interpreted as HSIL confirmed histologically were included in this study. The sensitivity for detecting HSIL by three cytopathologists was calculated.

Results: Most HSIL cases were classified as atypical glandular cell/atypical squamous cell-high grade not excluded (AGC/ASC-H) and above by all cytopathologists. Of these cases, 11.5% were classified as low-grade squamous intraepithelial lesion (LSIL) by pathologist A (P-A), 6% by pathologist B (P-B), and 5.5% by pathologist C (P-C); 3.8%, 2.7%, and 1.6% of these cases were classified as atypical squamous cell of unknown significance (ASC-US) by P-A, P-B, and P-C, respectively. The sensitivity for detection of cervical intraepithelial neoplasia 2 and above (CIN2+) lesions was 100% if ASC-US and above (ASC-US+) abnormalities were counted among all three pathologists. The sensitivity for detection of CIN2+ lesions was 84.7%, 91.3%, and 92.9% by P-A, P-B, and P-C, respectively, for ASC-H and above abnormalities. The Kendall W coefficient was 0.722, which indicated strong agreement between all pathologists.

Conclusions: New-generation AI-assisted Pap test screening systems such as the GDDS have the potential to transform cytology practice. In this study, the GDDS aided in interpreting HSIL in ThinPrep Pap tests, with good sensitivity and agreement between the pathologists who interacted with this system.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用 Hologic Genius 数字诊断系统分析高级别鳞状上皮内病变巴氏诊断的敏感性和观察者之间的变异性。
背景:基于人工智能(AI)的系统正在改变细胞病理学实践。本研究旨在评估Hologic Genius数字诊断系统(GDDS)辅助诊断高级别鳞状上皮内病变(HSIL)巴氏涂片(Pap)的灵敏度:方法:利用 GDDS 独立对 890 项 ThinPrep 巴氏试验进行了验证研究。本研究从中选取了183例经组织学证实为HSIL的病例。计算了三位细胞病理学家检测 HSIL 的灵敏度:结果:大多数 HSIL 病例被所有细胞病理学家归类为不排除的非典型腺细胞/非典型鳞状细胞-高级别(AGC/ASC-H)及以上。在这些病例中,病理学家A(P-A)将11.5%的病例归类为低级别鳞状上皮内病变(LSIL),病理学家B(P-B)将6%的病例归类为低级别鳞状上皮内病变(LSIL),病理学家C(P-C)将5.5%的病例归类为低级别鳞状上皮内病变(LSIL);P-A、P-B和P-C分别将3.8%、2.7%和1.6%的病例归类为意义不明的非典型鳞状细胞(ASC-US)。如果所有三位病理学家都计算 ASC-US 及以上(ASC-US+)异常,则宫颈上皮内瘤变 2 及以上(CIN2+)病变的检测灵敏度为 100%。对于 ASC-H 及以上异常,P-A、P-B 和 P-C 检测 CIN2+ 病变的灵敏度分别为 84.7%、91.3% 和 92.9%。Kendall W系数为0.722,表明所有病理学家之间的一致性很高:结论:新一代人工智能辅助巴氏试验筛查系统(如 GDDS)有可能改变细胞学实践。在这项研究中,GDDS 有助于解释薄层子宫颈抹片检查中的 HSIL,其灵敏度很高,与该系统互动的病理学家之间的意见也很一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
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.
期刊最新文献
Thin-layer cervical sample evaluation: Conventional light microscopy versus digital whole-slide imaging. Correlation of different HPV genotype viral loads and cervical lesions: A retrospective analysis of 1585 cases. Fine-needle aspiration and effusion cytology of thoracic SMARCA4-deficient undifferentiated tumor and SMARCA4-deficient non-small cell lung carcinoma: A multi-institutional experience with 27 patients. Analysis of the sensitivity of high-grade squamous intraepithelial lesion Pap diagnosis and interobserver variability with the Hologic Genius Digital Diagnostics System. Retrospective analysis of HPV infection: Cotesting and HPV genotyping in cervical cancer screening within a large academic health care system.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1