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 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.
Duke Scholars
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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
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
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