16 October 2018 Imaging biomarkers in thyroid eye disease and their clinical associations
Author Affiliations +
Abstract
The purpose of this study is to understand the phenotypes of thyroid eye disease (TED) through data derived from a multiatlas segmentation of computed tomography (CT) imaging. Images of 170 orbits of 85 retrospectively selected TED patients were analyzed with the developed automated segmentation tool. Twenty-five bilateral orbital structural metrics were used to perform principal component analysis (PCA). PCA of the 25 structural metrics identified the two most dominant structural phenotypes or characteristics, the “big volume phenotype” and the “stretched optic nerve phenotype,” that accounted for 60% of the variance. Most of the subjects in the study have either of these characteristics or a combination of both. A Kendall rank correlation between the principal components (phenotypes) and clinical data showed that the big volume phenotype was very strongly correlated (p-value <0.05) with motility defects, and loss of visual acuity. Whereas, the stretched optic nerve phenotype was strongly correlated (p-value <0.05) with an increased Hertel measurement, relatively better visual acuity, and smoking. Two clinical subtypes of TED, type 1 with enlarged muscles and type 2 with proptosis, are recognizable in CT imaging. Our automated algorithm identifies the phenotypes and finds associations with clinical markers.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) 2329-4302/2018/$25.00 © 2018 SPIE
Shikha Chaganti, Katrina Nelson, Kevin Mundy, Robert Harrigan, Robert Galloway Jr., Louise A. Mawn M.D., and Bennett Landman "Imaging biomarkers in thyroid eye disease and their clinical associations," Journal of Medical Imaging 5(4), 044001 (16 October 2018). https://doi.org/10.1117/1.JMI.5.4.044001
Received: 10 January 2018; Accepted: 23 August 2018; Published: 16 October 2018
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Eye

Computed tomography

Visualization

Image segmentation

Optic nerve

Principal component analysis

Color vision

Back to Top