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...
Autores principales: | , , , , , , , , , , , , |
---|---|
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 |