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Detecting joint inflammation by an LED-based photoacoustic imaging system: a feasibility study
Light-emitting diode (LED) light sources have recently been introduced to photoacoustic imaging (PAI). The LEDs enable a smaller footprint for PAI systems when compared to laser sources, thereby improving system portability and allowing for improved access. An LED-based PAI system has been employed...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6262119/ https://www.ncbi.nlm.nih.gov/pubmed/30499263 http://dx.doi.org/10.1117/1.JBO.23.11.110501 |
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author | Jo, Janggun Xu, Guan Zhu, Yunhao Burton, Mary Sarazin, Jeffrey Schiopu, Elena Gandikota, Girish Wang, Xueding |
author_facet | Jo, Janggun Xu, Guan Zhu, Yunhao Burton, Mary Sarazin, Jeffrey Schiopu, Elena Gandikota, Girish Wang, Xueding |
author_sort | Jo, Janggun |
collection | PubMed |
description | Light-emitting diode (LED) light sources have recently been introduced to photoacoustic imaging (PAI). The LEDs enable a smaller footprint for PAI systems when compared to laser sources, thereby improving system portability and allowing for improved access. An LED-based PAI system has been employed to identify inflammatory arthritis in human hand joints. B-mode ultrasound (US), Doppler, and PAIs were obtained from 12 joints with clinically active arthritis, five joints with subclinically active arthritis, and 12 normal joints. The quantitative assessment of hyperemia in joints by PAI demonstrated statistically significant differences among the three conditions. The imaging results from the subclinically active arthritis joints also suggested that the LED-based PAI has a higher sensitivity to angiogenic microvascularity compared to US Doppler imaging. This initial clinical study on arthritis patients validates that PAI can be a potential imaging modality for the diagnosis of inflammatory arthritis. |
format | Online Article Text |
id | pubmed-6262119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Society of Photo-Optical Instrumentation Engineers |
record_format | MEDLINE/PubMed |
spelling | pubmed-62621192019-11-29 Detecting joint inflammation by an LED-based photoacoustic imaging system: a feasibility study Jo, Janggun Xu, Guan Zhu, Yunhao Burton, Mary Sarazin, Jeffrey Schiopu, Elena Gandikota, Girish Wang, Xueding J Biomed Opt JBO Letters Light-emitting diode (LED) light sources have recently been introduced to photoacoustic imaging (PAI). The LEDs enable a smaller footprint for PAI systems when compared to laser sources, thereby improving system portability and allowing for improved access. An LED-based PAI system has been employed to identify inflammatory arthritis in human hand joints. B-mode ultrasound (US), Doppler, and PAIs were obtained from 12 joints with clinically active arthritis, five joints with subclinically active arthritis, and 12 normal joints. The quantitative assessment of hyperemia in joints by PAI demonstrated statistically significant differences among the three conditions. The imaging results from the subclinically active arthritis joints also suggested that the LED-based PAI has a higher sensitivity to angiogenic microvascularity compared to US Doppler imaging. This initial clinical study on arthritis patients validates that PAI can be a potential imaging modality for the diagnosis of inflammatory arthritis. Society of Photo-Optical Instrumentation Engineers 2018-11-29 2018-11 /pmc/articles/PMC6262119/ /pubmed/30499263 http://dx.doi.org/10.1117/1.JBO.23.11.110501 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
spellingShingle | JBO Letters Jo, Janggun Xu, Guan Zhu, Yunhao Burton, Mary Sarazin, Jeffrey Schiopu, Elena Gandikota, Girish Wang, Xueding Detecting joint inflammation by an LED-based photoacoustic imaging system: a feasibility study |
title | Detecting joint inflammation by an LED-based photoacoustic imaging system: a feasibility study |
title_full | Detecting joint inflammation by an LED-based photoacoustic imaging system: a feasibility study |
title_fullStr | Detecting joint inflammation by an LED-based photoacoustic imaging system: a feasibility study |
title_full_unstemmed | Detecting joint inflammation by an LED-based photoacoustic imaging system: a feasibility study |
title_short | Detecting joint inflammation by an LED-based photoacoustic imaging system: a feasibility study |
title_sort | detecting joint inflammation by an led-based photoacoustic imaging system: a feasibility study |
topic | JBO Letters |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6262119/ https://www.ncbi.nlm.nih.gov/pubmed/30499263 http://dx.doi.org/10.1117/1.JBO.23.11.110501 |
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