Applications of Computational Pathology in Head and Neck Cytopathology

Author:

Lollie Trang K.,Krane Jeffrey F.ORCID

Abstract

<b><i>Background:</i></b> The application of computational technology to head and neck cytology material has been explored experimentally in several areas with a variety of potential applications. <b><i>Summary:</i></b> This review summarizes the application of these techniques to the diagnosis of thyroid, salivary gland, and other head and neck fine-needle aspiration specimens. Current limitations and potential future applications in diagnosis are discussed along with the possibilities for therapeutic applications of computational methodology. <b><i>Key Message:</i></b> Particularly promising applications include resolving diagnostic uncertainty in indeterminate thyroid aspirates and assessing the tumor microenvironment in response to immunotherapy for squamous cell carcinoma.

Publisher

S. Karger AG

Subject

General Medicine,Histology,Pathology and Forensic Medicine

Reference18 articles.

1. Pouliakis A, Karakitsou E, Margari N, Bountris P, Haritou M, Panayiotides J, et al. Artificial neural networks as decision support tools in cytopathology: past, present, and future. Biomed Eng Comput Biol. 2016 Feb 18;7:1–18.

2. Chain K, Legesse T, Heath JE, Staats PN. Digital image-assisted quantitative nuclear analysis improves diagnostic accuracy of thyroid fine-needle aspiration cytology. Cancer Cytopathol. 2019;127(8):501–13.

3. Cochand-Priollet B, Koutroumbas K, Megalopoulou TM, Pouliakis A, Sivolapenko G, Karakitsos P. Discriminating benign from malignant thyroid lesions using artificial intelligence and statistical selection of morphometric features. Oncol Rep. 2006;15(4):1023–6.

4. Sanyal P, Mukherjee T, Barui S, Das A, Gangopadhyay P. Artificial intelligence in cytopathology: a neural network to identify papillary carcinoma on thyroid fine-needle aspiration cytology smears. J Pathol Inform. 2018;9(1):43.

5. Murata S, Mochizuki K, Nakazawa T, Kondo T, Nakamura N, Yamashita H, et al. Morphological abstraction of thyroid tumor cell nuclei using morphometry with factor analysis. Microsc Res Tech. 2003;61(5):457–62.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3