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Assessing the progression of systemic sclerosis by monitoring the tissue optic axis using PS-OCT

The clinical assessment of fibrosis is critical to the diagnosis and management of patients with systemic sclerosis. Current clinical standards for patient assessment is to use skin fibrosis as an indicator of organ involvement, though this approach is highly subjective and relies on manual palpatio...

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Autores principales: Adams, David C., Szabari, Margit V., Lagares, David, McCrossan, Andrew F., Hariri, Lida P., Tager, Andrew M., Suter, Melissa J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018967/
https://www.ncbi.nlm.nih.gov/pubmed/32054932
http://dx.doi.org/10.1038/s41598-020-59330-7
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author Adams, David C.
Szabari, Margit V.
Lagares, David
McCrossan, Andrew F.
Hariri, Lida P.
Tager, Andrew M.
Suter, Melissa J.
author_facet Adams, David C.
Szabari, Margit V.
Lagares, David
McCrossan, Andrew F.
Hariri, Lida P.
Tager, Andrew M.
Suter, Melissa J.
author_sort Adams, David C.
collection PubMed
description The clinical assessment of fibrosis is critical to the diagnosis and management of patients with systemic sclerosis. Current clinical standards for patient assessment is to use skin fibrosis as an indicator of organ involvement, though this approach is highly subjective and relies on manual palpation. The development of a new method for accurately quantifying collagen content may therefore significantly improve the accuracy of the traditional skin score in patients with systemic sclerosis and may additionally aid in the monitoring of anti-fibrotic therapies in clinical practice. Polarization-sensitive optical coherence tomography (PS-OCT) is a high-speed volumetric imaging modality that can be used to assess birefringent tissues including collagen. In this work we demonstrate a novel computational approach using PS-OCT for the assessment of fibrosis. This approach, based on the measured distribution of optic axis values associated with a given volume of collagen orientation, characterizes fibrotic changes independently from the depth of the region of interest in the tissue. This approach has the potential to accurately quantify collagen content and orientation faster and more robustly compared to traditional PS-OCT metrics. We investigate the viability of this approach for assessing the development of fibrosis in a bleomycin induced skin fibrosis mouse model.
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spelling pubmed-70189672020-02-21 Assessing the progression of systemic sclerosis by monitoring the tissue optic axis using PS-OCT Adams, David C. Szabari, Margit V. Lagares, David McCrossan, Andrew F. Hariri, Lida P. Tager, Andrew M. Suter, Melissa J. Sci Rep Article The clinical assessment of fibrosis is critical to the diagnosis and management of patients with systemic sclerosis. Current clinical standards for patient assessment is to use skin fibrosis as an indicator of organ involvement, though this approach is highly subjective and relies on manual palpation. The development of a new method for accurately quantifying collagen content may therefore significantly improve the accuracy of the traditional skin score in patients with systemic sclerosis and may additionally aid in the monitoring of anti-fibrotic therapies in clinical practice. Polarization-sensitive optical coherence tomography (PS-OCT) is a high-speed volumetric imaging modality that can be used to assess birefringent tissues including collagen. In this work we demonstrate a novel computational approach using PS-OCT for the assessment of fibrosis. This approach, based on the measured distribution of optic axis values associated with a given volume of collagen orientation, characterizes fibrotic changes independently from the depth of the region of interest in the tissue. This approach has the potential to accurately quantify collagen content and orientation faster and more robustly compared to traditional PS-OCT metrics. We investigate the viability of this approach for assessing the development of fibrosis in a bleomycin induced skin fibrosis mouse model. Nature Publishing Group UK 2020-02-13 /pmc/articles/PMC7018967/ /pubmed/32054932 http://dx.doi.org/10.1038/s41598-020-59330-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Adams, David C.
Szabari, Margit V.
Lagares, David
McCrossan, Andrew F.
Hariri, Lida P.
Tager, Andrew M.
Suter, Melissa J.
Assessing the progression of systemic sclerosis by monitoring the tissue optic axis using PS-OCT
title Assessing the progression of systemic sclerosis by monitoring the tissue optic axis using PS-OCT
title_full Assessing the progression of systemic sclerosis by monitoring the tissue optic axis using PS-OCT
title_fullStr Assessing the progression of systemic sclerosis by monitoring the tissue optic axis using PS-OCT
title_full_unstemmed Assessing the progression of systemic sclerosis by monitoring the tissue optic axis using PS-OCT
title_short Assessing the progression of systemic sclerosis by monitoring the tissue optic axis using PS-OCT
title_sort assessing the progression of systemic sclerosis by monitoring the tissue optic axis using ps-oct
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018967/
https://www.ncbi.nlm.nih.gov/pubmed/32054932
http://dx.doi.org/10.1038/s41598-020-59330-7
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