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Review on Multispectral Photoacoustic Analysis of Cancer: Thyroid and Breast

In recent decades, photoacoustic imaging has been used widely in biomedical research, providing molecular and functional information from biological tissues in vivo. In addition to being used for research in small animals, photoacoustic imaging has also been utilized for in vivo human studies, achie...

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Detalles Bibliográficos
Autores principales: Han, Seongyi, Lee, Haeni, Kim, Chulhong, Kim, Jeesu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143964/
https://www.ncbi.nlm.nih.gov/pubmed/35629886
http://dx.doi.org/10.3390/metabo12050382
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author Han, Seongyi
Lee, Haeni
Kim, Chulhong
Kim, Jeesu
author_facet Han, Seongyi
Lee, Haeni
Kim, Chulhong
Kim, Jeesu
author_sort Han, Seongyi
collection PubMed
description In recent decades, photoacoustic imaging has been used widely in biomedical research, providing molecular and functional information from biological tissues in vivo. In addition to being used for research in small animals, photoacoustic imaging has also been utilized for in vivo human studies, achieving a multispectral photoacoustic response in deep tissue. There have been several clinical trials for screening cancer patients by analyzing multispectral responses, which in turn provide metabolomic information about the underlying biological tissues. This review summarizes the methods and results of clinical photoacoustic trials available in the literature to date to classify cancerous tissues, specifically of the thyroid and breast. From the review, we can conclude that a great potential exists for photoacoustic imaging to be used as a complementary modality to improve diagnostic accuracy for suspicious tumors, thus significantly benefitting patients’ healthcare.
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spelling pubmed-91439642022-05-29 Review on Multispectral Photoacoustic Analysis of Cancer: Thyroid and Breast Han, Seongyi Lee, Haeni Kim, Chulhong Kim, Jeesu Metabolites Review In recent decades, photoacoustic imaging has been used widely in biomedical research, providing molecular and functional information from biological tissues in vivo. In addition to being used for research in small animals, photoacoustic imaging has also been utilized for in vivo human studies, achieving a multispectral photoacoustic response in deep tissue. There have been several clinical trials for screening cancer patients by analyzing multispectral responses, which in turn provide metabolomic information about the underlying biological tissues. This review summarizes the methods and results of clinical photoacoustic trials available in the literature to date to classify cancerous tissues, specifically of the thyroid and breast. From the review, we can conclude that a great potential exists for photoacoustic imaging to be used as a complementary modality to improve diagnostic accuracy for suspicious tumors, thus significantly benefitting patients’ healthcare. MDPI 2022-04-22 /pmc/articles/PMC9143964/ /pubmed/35629886 http://dx.doi.org/10.3390/metabo12050382 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Han, Seongyi
Lee, Haeni
Kim, Chulhong
Kim, Jeesu
Review on Multispectral Photoacoustic Analysis of Cancer: Thyroid and Breast
title Review on Multispectral Photoacoustic Analysis of Cancer: Thyroid and Breast
title_full Review on Multispectral Photoacoustic Analysis of Cancer: Thyroid and Breast
title_fullStr Review on Multispectral Photoacoustic Analysis of Cancer: Thyroid and Breast
title_full_unstemmed Review on Multispectral Photoacoustic Analysis of Cancer: Thyroid and Breast
title_short Review on Multispectral Photoacoustic Analysis of Cancer: Thyroid and Breast
title_sort review on multispectral photoacoustic analysis of cancer: thyroid and breast
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143964/
https://www.ncbi.nlm.nih.gov/pubmed/35629886
http://dx.doi.org/10.3390/metabo12050382
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