Cargando…

Quantification metrics for telangiectasia using optical coherence tomography

Hereditary hemorrhagic telangiectasia (HHT) is an autosomal dominant disorder that causes vascular malformations throughout the body. The most prevalent and accessible of these lesions are found throughout the skin and mucosa, and often rupture causing bleeding and anemia. A recent increase in poten...

Descripción completa

Detalles Bibliográficos
Autores principales: Cardinell, Jillian L., Ramjist, Joel M., Chen, Chaoliang, Shi, Weisong, Nguyen, Nhu Q., Yeretsian, Tiffany, Choi, Matthew, Chen, David, Clark, Dewi S., Curtis, Anne, Kim, Helen, Faughnan, Marie E., Yang, Victor X. D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8810896/
https://www.ncbi.nlm.nih.gov/pubmed/35110554
http://dx.doi.org/10.1038/s41598-022-05272-1
_version_ 1784644327558873088
author Cardinell, Jillian L.
Ramjist, Joel M.
Chen, Chaoliang
Shi, Weisong
Nguyen, Nhu Q.
Yeretsian, Tiffany
Choi, Matthew
Chen, David
Clark, Dewi S.
Curtis, Anne
Kim, Helen
Faughnan, Marie E.
Yang, Victor X. D.
author_facet Cardinell, Jillian L.
Ramjist, Joel M.
Chen, Chaoliang
Shi, Weisong
Nguyen, Nhu Q.
Yeretsian, Tiffany
Choi, Matthew
Chen, David
Clark, Dewi S.
Curtis, Anne
Kim, Helen
Faughnan, Marie E.
Yang, Victor X. D.
author_sort Cardinell, Jillian L.
collection PubMed
description Hereditary hemorrhagic telangiectasia (HHT) is an autosomal dominant disorder that causes vascular malformations throughout the body. The most prevalent and accessible of these lesions are found throughout the skin and mucosa, and often rupture causing bleeding and anemia. A recent increase in potential HHT treatments have created a demand for quantitative metrics that can objectively measure the efficacy of new and developing treatments. We employ optical coherence tomography (OCT)—a high resolution, non-invasive imaging modality in a novel pipeline to image and quantitatively characterize dermal HHT lesion behavior over time or throughout the course of treatment. This study is aimed at detecting detailed morphological changes of dermal HHT lesions to understand the underlying dynamic processes of the disease. We present refined metrics tailored for HHT, developed from a pilot study using 3 HHT patients and 6 lesions over the course of multiple imaging dates, totalling to 26 lesion images. Preliminary results from these lesions are presented in this paper alongside representative OCT images. This study provides a new objective method to analyse and understand HHT lesions using a minimally invasive, accessible, cost-effective, and efficient imaging modality with quantitative metrics describing morphology and blood flow.
format Online
Article
Text
id pubmed-8810896
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-88108962022-02-03 Quantification metrics for telangiectasia using optical coherence tomography Cardinell, Jillian L. Ramjist, Joel M. Chen, Chaoliang Shi, Weisong Nguyen, Nhu Q. Yeretsian, Tiffany Choi, Matthew Chen, David Clark, Dewi S. Curtis, Anne Kim, Helen Faughnan, Marie E. Yang, Victor X. D. Sci Rep Article Hereditary hemorrhagic telangiectasia (HHT) is an autosomal dominant disorder that causes vascular malformations throughout the body. The most prevalent and accessible of these lesions are found throughout the skin and mucosa, and often rupture causing bleeding and anemia. A recent increase in potential HHT treatments have created a demand for quantitative metrics that can objectively measure the efficacy of new and developing treatments. We employ optical coherence tomography (OCT)—a high resolution, non-invasive imaging modality in a novel pipeline to image and quantitatively characterize dermal HHT lesion behavior over time or throughout the course of treatment. This study is aimed at detecting detailed morphological changes of dermal HHT lesions to understand the underlying dynamic processes of the disease. We present refined metrics tailored for HHT, developed from a pilot study using 3 HHT patients and 6 lesions over the course of multiple imaging dates, totalling to 26 lesion images. Preliminary results from these lesions are presented in this paper alongside representative OCT images. This study provides a new objective method to analyse and understand HHT lesions using a minimally invasive, accessible, cost-effective, and efficient imaging modality with quantitative metrics describing morphology and blood flow. Nature Publishing Group UK 2022-02-02 /pmc/articles/PMC8810896/ /pubmed/35110554 http://dx.doi.org/10.1038/s41598-022-05272-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Cardinell, Jillian L.
Ramjist, Joel M.
Chen, Chaoliang
Shi, Weisong
Nguyen, Nhu Q.
Yeretsian, Tiffany
Choi, Matthew
Chen, David
Clark, Dewi S.
Curtis, Anne
Kim, Helen
Faughnan, Marie E.
Yang, Victor X. D.
Quantification metrics for telangiectasia using optical coherence tomography
title Quantification metrics for telangiectasia using optical coherence tomography
title_full Quantification metrics for telangiectasia using optical coherence tomography
title_fullStr Quantification metrics for telangiectasia using optical coherence tomography
title_full_unstemmed Quantification metrics for telangiectasia using optical coherence tomography
title_short Quantification metrics for telangiectasia using optical coherence tomography
title_sort quantification metrics for telangiectasia using optical coherence tomography
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8810896/
https://www.ncbi.nlm.nih.gov/pubmed/35110554
http://dx.doi.org/10.1038/s41598-022-05272-1
work_keys_str_mv AT cardinelljillianl quantificationmetricsfortelangiectasiausingopticalcoherencetomography
AT ramjistjoelm quantificationmetricsfortelangiectasiausingopticalcoherencetomography
AT chenchaoliang quantificationmetricsfortelangiectasiausingopticalcoherencetomography
AT shiweisong quantificationmetricsfortelangiectasiausingopticalcoherencetomography
AT nguyennhuq quantificationmetricsfortelangiectasiausingopticalcoherencetomography
AT yeretsiantiffany quantificationmetricsfortelangiectasiausingopticalcoherencetomography
AT choimatthew quantificationmetricsfortelangiectasiausingopticalcoherencetomography
AT chendavid quantificationmetricsfortelangiectasiausingopticalcoherencetomography
AT clarkdewis quantificationmetricsfortelangiectasiausingopticalcoherencetomography
AT curtisanne quantificationmetricsfortelangiectasiausingopticalcoherencetomography
AT kimhelen quantificationmetricsfortelangiectasiausingopticalcoherencetomography
AT faughnanmariee quantificationmetricsfortelangiectasiausingopticalcoherencetomography
AT yangvictorxd quantificationmetricsfortelangiectasiausingopticalcoherencetomography
AT quantificationmetricsfortelangiectasiausingopticalcoherencetomography