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Quantification metrics for telangiectasia using optical coherence tomography.

Publication ,  Journal Article
Cardinell, JL; Ramjist, JM; Chen, C; Shi, W; Nguyen, NQ; Yeretsian, T; Choi, M; Chen, D; Clark, DS; Curtis, A; Kim, H; Faughnan, ME ...
Published in: Sci Rep
February 2, 2022

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.

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Published In

Sci Rep

DOI

EISSN

2045-2322

Publication Date

February 2, 2022

Volume

12

Issue

1

Start / End Page

1805

Location

England

Related Subject Headings

  • Tomography, Optical Coherence
  • Telangiectasia, Hereditary Hemorrhagic
  • Skin
  • Regional Blood Flow
  • Predictive Value of Tests
  • Pilot Projects
  • Pattern Recognition, Automated
  • Neovascularization, Pathologic
  • Microcirculation
  • Image Interpretation, Computer-Assisted
 

Citation

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Cardinell, J. L., Ramjist, J. M., Chen, C., Shi, W., Nguyen, N. Q., Yeretsian, T., … Brain Vascular Malformation Consortium HHT Investigator Group, . (2022). Quantification metrics for telangiectasia using optical coherence tomography. Sci Rep, 12(1), 1805. https://doi.org/10.1038/s41598-022-05272-1
Cardinell, Jillian L., Joel M. Ramjist, Chaoliang Chen, Weisong Shi, Nhu Q. Nguyen, Tiffany Yeretsian, Matthew Choi, et al. “Quantification metrics for telangiectasia using optical coherence tomography.Sci Rep 12, no. 1 (February 2, 2022): 1805. https://doi.org/10.1038/s41598-022-05272-1.
Cardinell JL, Ramjist JM, Chen C, Shi W, Nguyen NQ, Yeretsian T, et al. Quantification metrics for telangiectasia using optical coherence tomography. Sci Rep. 2022 Feb 2;12(1):1805.
Cardinell, Jillian L., et al. “Quantification metrics for telangiectasia using optical coherence tomography.Sci Rep, vol. 12, no. 1, Feb. 2022, p. 1805. Pubmed, doi:10.1038/s41598-022-05272-1.
Cardinell JL, Ramjist JM, Chen C, Shi W, Nguyen NQ, Yeretsian T, Choi M, Chen D, Clark DS, Curtis A, Kim H, Faughnan ME, Yang VXD, Brain Vascular Malformation Consortium HHT Investigator Group. Quantification metrics for telangiectasia using optical coherence tomography. Sci Rep. 2022 Feb 2;12(1):1805.

Published In

Sci Rep

DOI

EISSN

2045-2322

Publication Date

February 2, 2022

Volume

12

Issue

1

Start / End Page

1805

Location

England

Related Subject Headings

  • Tomography, Optical Coherence
  • Telangiectasia, Hereditary Hemorrhagic
  • Skin
  • Regional Blood Flow
  • Predictive Value of Tests
  • Pilot Projects
  • Pattern Recognition, Automated
  • Neovascularization, Pathologic
  • Microcirculation
  • Image Interpretation, Computer-Assisted