Suppr超能文献

宫颈癌筛查病理技术的演变:综述

Evolution of Pathological Techniques for the Screening of Cervical Cancer: A Comprehensive Review.

作者信息

Chatterjee Priya B, Hingway Snehlata R, Hiwale Kishor M

机构信息

Pathology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.

出版信息

Cureus. 2024 May 21;16(5):e60769. doi: 10.7759/cureus.60769. eCollection 2024 May.

Abstract

The evolutionary journey of cervical cancer screening has been a major medical success story, considering the substantial role it has played in dwindling the disease burden. Through sustained collaborative efforts within the medical community, significant advances have been made from the humble yet path-breaking conventional Pap smear to the current automated screening systems and human papillomavirus (HPV) molecular testing. With the integration of artificial intelligence into screening techniques, we are currently at the precipice of circumventing the pitfalls of manual cytology readings and improving the efficiency of the screening systems by a significant margin. Despite the technological milestones traversed, the high logistics and operational cost, besides the technical know-how of operating the automated systems, can pose a major practical challenge in the widespread adoption of these advanced techniques in cervical cancer screening programs. This would suggest the need to adopt strategies that are tailored to the demands and needs of the different settings keeping their limitations in mind. This review aims to take the reader through the entire evolutionary journey of cervical cancer screening programs, highlight the individual merits and demerits of each technique, and discuss the recommendations from the major global guidelines.

摘要

考虑到宫颈癌筛查在减轻疾病负担方面发挥的重要作用,其发展历程堪称医学领域的一个重大成功案例。通过医学界持续的共同努力,从简陋却具有开创性的传统巴氏涂片检查到当前的自动化筛查系统和人乳头瘤病毒(HPV)分子检测,都取得了显著进展。随着人工智能融入筛查技术,我们目前正处于跨越手工细胞学读数陷阱并大幅提高筛查系统效率的边缘。尽管已经跨越了技术里程碑,但除了操作自动化系统所需的技术知识外,高昂的后勤和运营成本可能会成为在宫颈癌筛查项目中广泛采用这些先进技术的一个重大实际挑战。这表明需要根据不同环境的需求和特点,同时考虑到其局限性,制定相应的策略。本综述旨在带领读者了解宫颈癌筛查项目的整个发展历程,突出每种技术的优缺点,并讨论主要全球指南的建议。

相似文献

1
Evolution of Pathological Techniques for the Screening of Cervical Cancer: A Comprehensive Review.
Cureus. 2024 May 21;16(5):e60769. doi: 10.7759/cureus.60769. eCollection 2024 May.
3
The evolution of cervical cancer screening.
J Am Soc Cytopathol. 2024 Jan-Feb;13(1):10-15. doi: 10.1016/j.jasc.2023.09.007. Epub 2023 Sep 25.
8
[Cervical cancer screening: past--present--future].
Pathologe. 2009 Dec;30 Suppl 2:128-35. doi: 10.1007/s00292-009-1189-1.
10
Human papillomavirus testing in cervical cancer screening.
Obstet Gynecol Clin North Am. 2013 Jun;40(2):377-90. doi: 10.1016/j.ogc.2013.03.002. Epub 2013 Apr 6.

引用本文的文献

本文引用的文献

1
Screening technologies for cervical cancer: Overview.
Cytojournal. 2022 Mar 29;19:23. doi: 10.25259/CMAS_03_04_2021. eCollection 2022.
2
Artificial Intelligence in Cervical Cancer Screening and Diagnosis.
Front Oncol. 2022 Mar 11;12:851367. doi: 10.3389/fonc.2022.851367. eCollection 2022.
3
Improving the Pap test with artificial intelligence.
Cancer Cytopathol. 2022 Jun;130(6):402-404. doi: 10.1002/cncy.22561. Epub 2022 Mar 15.
4
Cervical cancer screening for individuals at average risk: 2020 guideline update from the American Cancer Society.
CA Cancer J Clin. 2020 Sep;70(5):321-346. doi: 10.3322/caac.21628. Epub 2020 Jul 30.
5
Computational Cytology: Lessons Learned from Pap Test Computer-Assisted Screening.
Acta Cytol. 2021;65(4):286-300. doi: 10.1159/000508629. Epub 2020 Jul 21.
6
Impact of screening on cervical cancer incidence: A population-based case-control study in the United States.
Int J Cancer. 2020 Aug 1;147(3):887-896. doi: 10.1002/ijc.32826. Epub 2019 Dec 31.
7
Cervical Cancer Screening: Past, Present, and Future.
Sex Med Rev. 2020 Jan;8(1):28-37. doi: 10.1016/j.sxmr.2019.09.005. Epub 2019 Nov 30.
8
Artificial intelligence in cytopathology: a review of the literature and overview of commercial landscape.
J Am Soc Cytopathol. 2019 Jul-Aug;8(4):230-241. doi: 10.1016/j.jasc.2019.03.003. Epub 2019 Mar 25.
10
A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images.
Comput Methods Programs Biomed. 2018 Oct;164:15-22. doi: 10.1016/j.cmpb.2018.05.034. Epub 2018 Jun 26.

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