Choroidal Vascularity Index in Thyroid-associated Ophthalmopathy: a Cross-sectional Study

Overview

Journal Eye Vis (Lond)

Publisher Biomed Central

Specialty Ophthalmology

Date 2021 Apr 30

PMID 33926559

Citations 10

Authors

Pasquale Loiudice

Marco Pellegrini

Michele Marino

Barbara Mazzi

Ilaria Ionni

Giuseppe Covello

Michele Figus

Marco Nardi

Giamberto Casini

Affiliations

Soon will be listed here.

Abstract

Background: Hemodynamic changes have been observed in patients with Graves' disease. The aim of our study was to evaluate choroidal vascular change using the choroidal vascularity index (CVI) in patients with thyroid-associated ophthalmopathy (TAO).

Methods: In this cross-sectional observational study, 40 patients affected by TAO were recruited. Forty healthy individuals, matched for age and sex, served as controls. Foveal enhanced-depth imaging optical coherence tomography scans were obtained from all participants. Images were binarized using the ImageJ software and luminal area (LA) and total choroidal area (TCA) were measured. CVI was calculated as the proportion of LA to TCA. The relation between CVI or subfoveal choroidal thickness (SFCT) and clinical activity score, exophthalmometric value, diplopia status, gender, and age was evaluated.

Results: CVI was significantly higher in patients with TAO (P = 0.004). No significant difference was observed in SFCT (P = 0.200) and TCA (P = 0.153) comparing TAO patients and healthy controls. LA was significantly higher in TAO group (P = 0.045). On multiple regression analysis, CVI was associated with TCA (P = 0.043). No association was found between SFCT or CVI and TCA, clinical activity score, exophthalmometric value, Inami value, diplopia status, gender or age (P > 0.05).

Conclusions: This is the first study that has demonstrated an increase in CVI in eyes with TAO compared with healthy controls and has assessed its association with clinical features.

Citing Articles

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Increased choroidal stromal area in patients with active Graves' ophthalmopathy based on binarisation method of optical coherence tomographic images.

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