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Cancer detection in excised breast tumors using terahertz imaging and spectroscopy

Terahertz imaging and spectroscopy has demonstrated a potential for differentiating tissue types of excised breast cancer tumors. Pulsed terahertz technology provides a broadband frequency range from 0.1 THz to 4 THz for detecting cancerous tissue. Tumor tissue types of interest include cancer typic...

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Detalles Bibliográficos
Autores principales: El-Shenawee, Magda, Vohra, Nagma, Bowman, Tyler, Bailey, Keith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304303/
https://www.ncbi.nlm.nih.gov/pubmed/32566474
http://dx.doi.org/10.3233/bsi-190187
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author El-Shenawee, Magda
Vohra, Nagma
Bowman, Tyler
Bailey, Keith
author_facet El-Shenawee, Magda
Vohra, Nagma
Bowman, Tyler
Bailey, Keith
author_sort El-Shenawee, Magda
collection PubMed
description Terahertz imaging and spectroscopy has demonstrated a potential for differentiating tissue types of excised breast cancer tumors. Pulsed terahertz technology provides a broadband frequency range from 0.1 THz to 4 THz for detecting cancerous tissue. Tumor tissue types of interest include cancer typically manifested as infiltrating ductal or lobular carcinomas, fibro-glandular (healthy connective tissues) and fat. In this work, images of breast tumors excised from human and animal models are reviewed. In addition to alternate fresh tissues, breast cancer tissue phantoms are developed to further evaluate terahertz imaging and the potential use of contrast agents. Terahertz results are successfully validated with pathology images, showing strong differentiation between cancerous and healthy tissues for all freshly excised tissues and types. The advantages, challenges and limitations of THz imaging of breast cancer are discussed.
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spelling pubmed-73043032020-06-19 Cancer detection in excised breast tumors using terahertz imaging and spectroscopy El-Shenawee, Magda Vohra, Nagma Bowman, Tyler Bailey, Keith Biomed Spectrosc Imaging Article Terahertz imaging and spectroscopy has demonstrated a potential for differentiating tissue types of excised breast cancer tumors. Pulsed terahertz technology provides a broadband frequency range from 0.1 THz to 4 THz for detecting cancerous tissue. Tumor tissue types of interest include cancer typically manifested as infiltrating ductal or lobular carcinomas, fibro-glandular (healthy connective tissues) and fat. In this work, images of breast tumors excised from human and animal models are reviewed. In addition to alternate fresh tissues, breast cancer tissue phantoms are developed to further evaluate terahertz imaging and the potential use of contrast agents. Terahertz results are successfully validated with pathology images, showing strong differentiation between cancerous and healthy tissues for all freshly excised tissues and types. The advantages, challenges and limitations of THz imaging of breast cancer are discussed. 2019-07-09 2019 /pmc/articles/PMC7304303/ /pubmed/32566474 http://dx.doi.org/10.3233/bsi-190187 Text en This article is published online with Open Access and distributed under the terms of the Creative Commons Attribution Non-Commercial License (CC BY-NC 4.0).http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Article
El-Shenawee, Magda
Vohra, Nagma
Bowman, Tyler
Bailey, Keith
Cancer detection in excised breast tumors using terahertz imaging and spectroscopy
title Cancer detection in excised breast tumors using terahertz imaging and spectroscopy
title_full Cancer detection in excised breast tumors using terahertz imaging and spectroscopy
title_fullStr Cancer detection in excised breast tumors using terahertz imaging and spectroscopy
title_full_unstemmed Cancer detection in excised breast tumors using terahertz imaging and spectroscopy
title_short Cancer detection in excised breast tumors using terahertz imaging and spectroscopy
title_sort cancer detection in excised breast tumors using terahertz imaging and spectroscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304303/
https://www.ncbi.nlm.nih.gov/pubmed/32566474
http://dx.doi.org/10.3233/bsi-190187
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