• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

宫颈阴道细胞学数字切片成像:一项初步研究。

Digital slide imaging in cervicovaginal cytology: a pilot study.

机构信息

Department of Pathology and Genomic Medicine, The Methodist Hospital, Houston, TX 77030, USA.

出版信息

Arch Pathol Lab Med. 2013 May;137(5):618-24. doi: 10.5858/arpa.2012-0430-OA. Epub 2012 Sep 12.

DOI:10.5858/arpa.2012-0430-OA
PMID:22970841
Abstract

CONTEXT

Digital whole slide imaging is the anticipated future of anatomic pathology, where sign-out of glass slides will be replaced by scanned images. Whole slide imaging has been successfully used in surgical pathology, but its usefulness and clinical application have been limited in cytology for several reasons, including lack of availability of z-axis depth focusing and large file size. Recently, several systems have become available in the United States for whole slide imaging with z-axis technology.

OBJECTIVE

To determine the accuracy and efficiency of whole slide imaging, as compared with traditional glass slides, for use in cervicovaginal diagnostic cytology.

DESIGN

Eleven cervicovaginal cytology cases (ThinPrep and SurePath) scanned at ×20, ×40, and ×40 z-stack magnifications using the BioImagene iScan Coreo Au 3.0 scanner were evaluated by 4 cytotechnologists and 3 pathologists in a blinded study. Different magnification scans were recorded as separate cases and presented in a randomized sequence. Corresponding glass slides were also reviewed. For each case, the diagnoses and total time to reach each diagnosis were recorded.

RESULTS

Diagnostic accuracy was higher and average time per case was lower with glass slides as compared with all digital images. Among the digital images, the ×40 or ×40 z-stack had the highest diagnostic accuracy and lowest interpretation time.

CONCLUSIONS

Whole slide imaging is a viable option for the purposes of teaching and consultations, and as a means of archiving cases. However, considering the large file size and total time to reach diagnosis on digital images, whole slide imaging is not yet ready for daily cervicovaginal diagnostic cytology screening use.

摘要

背景

数字全玻片成像技术是病理诊断的未来趋势,届时将用扫描图像取代玻璃载玻片的阅片。全玻片成像技术已经成功应用于外科病理学,但由于缺乏轴向深度聚焦能力和文件过大等原因,其在细胞学中的应用和实用性受到了限制。最近,美国有几个系统具备了应用于全玻片成像的轴向技术。

目的

评估全玻片成像技术在宫颈阴道细胞学诊断中的准确性和效率,与传统的玻璃载玻片相比。

设计

11 例(ThinPrep 和 SurePath)宫颈阴道细胞学标本(×20、×40 和×40 轴位放大倍数)使用 BioImagene iScan Coreo Au 3.0 扫描仪进行扫描,由 4 名细胞技术专家和 3 名病理学家在盲法研究中进行评估。不同放大倍数的扫描被记录为单独的病例,并以随机顺序呈现。相应的玻璃载玻片也进行了评估。记录每个病例的诊断结果和达到每个诊断的总时间。

结果

与所有数字图像相比,玻璃载玻片的诊断准确性更高,平均每个病例的用时更短。在数字图像中,×40 或×40 轴位放大倍数的诊断准确性最高,解读时间最短。

结论

全玻片成像技术是教学和咨询以及存档病例的可行选择。然而,考虑到数字图像的大文件大小和达到诊断的总时间,全玻片成像技术尚未准备好用于日常宫颈阴道细胞学诊断筛查。

相似文献

1
Digital slide imaging in cervicovaginal cytology: a pilot study.宫颈阴道细胞学数字切片成像:一项初步研究。
Arch Pathol Lab Med. 2013 May;137(5):618-24. doi: 10.5858/arpa.2012-0430-OA. Epub 2012 Sep 12.
2
Comparison of glass slides and various digital-slide modalities for cytopathology screening and interpretation.用于细胞病理学筛查和判读的玻片与各种数字玻片模式的比较。
Cancer Cytopathol. 2017 Sep;125(9):701-709. doi: 10.1002/cncy.21880. Epub 2017 May 30.
3
Digital whole slide imaging in cytology.细胞学中的数字全切片成像
Arch Pathol Lab Med. 2014 Mar;138(3):300. doi: 10.5858/arpa.2013-0270-LE.
4
Application of microscope-based scanning software (Panoptiq) for the interpretation of cervicovaginal cytology specimens.基于显微镜的扫描软件(Panoptiq)在宫颈阴道细胞学标本解读中的应用。
Cancer Cytopathol. 2017 Dec;125(12):918-925. doi: 10.1002/cncy.21921. Epub 2017 Sep 28.
5
An array microscope for ultrarapid virtual slide processing and telepathology. Design, fabrication, and validation study.用于超快速虚拟玻片处理和远程病理学的阵列显微镜。设计、制造与验证研究。
Hum Pathol. 2004 Nov;35(11):1303-14. doi: 10.1016/j.humpath.2004.09.002.
6
Utility of whole slide imaging and virtual microscopy in prostate pathology.全玻片成像和虚拟显微镜在前列腺病理学中的应用。
APMIS. 2012 Apr;120(4):298-304. doi: 10.1111/j.1600-0463.2011.02872.x.
7
Validation of multiple whole slide imaging scanners based on the guideline from the College of American Pathologists Pathology and Laboratory Quality Center.基于美国病理学家学会病理学和实验室质量中心指南对多种全玻片成像扫描仪进行验证。
Arch Pathol Lab Med. 2015 May;139(5):656-64. doi: 10.5858/arpa.2014-0073-OA.
8
Whole slide imaging equivalency and efficiency study: experience at a large academic center.全 slides 成像等效性和效率研究:大型学术中心的经验。
Mod Pathol. 2019 Jul;32(7):916-928. doi: 10.1038/s41379-019-0205-0. Epub 2019 Feb 18.
9
Feasibility of using the Omnyx digital pathology system for cytology practice.使用Omnyx数字病理系统进行细胞学实践的可行性。
J Am Soc Cytopathol. 2019 Jul-Aug;8(4):182-189. doi: 10.1016/j.jasc.2019.01.003. Epub 2019 Jan 18.
10
A comparison of cervical histopathology variability using whole slide digitized images versus glass slides: experience with a statewide registry.应用全玻片数字化图像与玻璃切片比较宫颈组织病理学变异性:全州登记处的经验。
Hum Pathol. 2013 Nov;44(11):2542-8. doi: 10.1016/j.humpath.2013.06.015. Epub 2013 Sep 25.

引用本文的文献

1
Utility of whole-slide imaging for rapid evaluation of thyroid FNA: A multireader prospective study.全切片成像在甲状腺细针穿刺活检快速评估中的应用:一项多阅片者前瞻性研究。
Cancer Cytopathol. 2025 Sep;133(9):e70046. doi: 10.1002/cncy.70046.
2
Rapid 3D imaging at cellular resolution for digital cytopathology with a multi-camera array scanner (MCAS).使用多相机阵列扫描仪(MCAS)以细胞分辨率进行快速3D成像用于数字细胞病理学。
Npj Imaging. 2024 Oct 1;2(1):39. doi: 10.1038/s44303-024-00042-2.
3
Transforming Diagnostics: A Comprehensive Review of Advances in Digital Pathology.
变革性诊断:数字病理学进展的全面综述
Cureus. 2024 Oct 19;16(10):e71890. doi: 10.7759/cureus.71890. eCollection 2024 Oct.
4
An End-to-end Pipeline for 3D Slide-wise Multi-stain Renal Pathology Registration.用于3D逐幻灯片多染色肾脏病理配准的端到端管道
Proc SPIE Int Soc Opt Eng. 2023 Feb;12471. doi: 10.1117/12.2654542. Epub 2023 Apr 6.
5
RGSB-UNet: Hybrid Deep Learning Framework for Tumour Segmentation in Digital Pathology Images.RGSB-UNet:用于数字病理图像中肿瘤分割的混合深度学习框架。
Bioengineering (Basel). 2023 Aug 12;10(8):957. doi: 10.3390/bioengineering10080957.
6
Digital pathology implementation in a private laboratory: The CEDAP experience.私立实验室中的数字病理学实施:CEDAP经验
J Pathol Inform. 2023 Jan 3;14:100180. doi: 10.1016/j.jpi.2022.100180. eCollection 2023.
7
BestCyte® Cell Sorter Imaging System: Primary and adjudicative whole slide image rescreening review times of 500 ThinPrep Pap test thin-layers - An intra-observer, time-surrogate analysis of diagnostic confidence potentialities.BestCyte®细胞分选成像系统:500例ThinPrep巴氏试验薄层的初次和判定性全玻片图像重新筛查复查时间——诊断置信度潜力的观察者内、时间替代分析
J Pathol Inform. 2022 May 21;13:100095. doi: 10.1016/j.jpi.2022.100095. eCollection 2022.
8
Relevance of the College of American Pathologists guideline for validating whole slide imaging for diagnostic purposes to cytopathology.美国病理学家学院关于验证全切片成像在诊断目的方面用于细胞病理学的指南的相关性。
Cytopathology. 2023 Jan;34(1):5-14. doi: 10.1111/cyt.13178. Epub 2022 Sep 26.
9
Robust whole slide image analysis for cervical cancer screening using deep learning.基于深度学习的宫颈癌筛查全切片图像稳健分析。
Nat Commun. 2021 Sep 24;12(1):5639. doi: 10.1038/s41467-021-25296-x.
10
Validation of digital microscopy: Review of validation methods and sources of bias.数字显微镜验证:验证方法和偏差来源综述。
Vet Pathol. 2022 Jan;59(1):26-38. doi: 10.1177/03009858211040476. Epub 2021 Aug 26.