PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 4, 2026Photodiagnosis and Photodynamic Therapy0 citationsOpen Access

Comprehensive Visualization of Choroidal Microvessels and Nerve Structure in Graves’ Disease without Clinical Ophthalmopathy Using Ultra-Widefield OCT Angiography

View Full Paper
JLJing LiangYMYan MaoTDTao Du

Key Points

  • The aim is to evaluate choroidal microvascular changes in Graves’ disease patients without clinical ophthalmopathy and their correlation with thyroid hormones.
  • Utilized ultra-widefield OCT angiography to visualize choroidal microvessels in patients and healthy controls.
  • Compared choroidal thickness and vascular metrics between Graves’ disease patients and healthy individuals.
  • Collected thyroid hormone levels including TSI and analyzed their relationship with ocular metrics.
  • Choroidal thickness and choroidal stromal volume were significantly reduced in Graves’ disease patients.
  • Significant differences in choroidal vascular volume were noted in specific regions of the eye.
  • Positive correlation between choroidal stromal volume and TSI levels was found in specific areas, while an inverse correlation was noted for choroidal vascular index in the fovea.

Abstract

• Unique study population: This study focuses on Graves’ disease patients without apparent ophthalmopathy, an underexplored subgroup that may exhibit early vascular dysregulation before clinical manifestations of TAO. • Advanced imaging technique: We applied Ultra-Widefield OCT Angiography to quantitatively assess choroidal vascular layers, providing a detailed evaluation of microvascular integrity. • Systemic–ocular association: We analyzed the correlations between thyroid hormone levels and ocular vascular indices, elucidating the possible mechanisms linking systemic endocrine imbalance to ocular microcirculation. • Clinical relevance: The study suggests that OCTA-derived vascular metrics may serve as potential noninvasive biomarkers for early detection or monitoring of TAO risk. • These findings may improve understanding of disease-related microvascular mechanisms and clinical evaluation. Choroidal characteristics and nerve structure were evaluated in Graves’ disease patients without ocular signs using Ultra-Widefield OCT angiography and compared with healthy controls, and their correlation with TSI was assessed. Twenty-four patients with Graves’ disease (GD) without ocular signs and twenty-three healthy controls were retrospectively included. Choroidal thickness (CT), radial peripapillary capillaries (RPCs) area, choroidal vascular volume (CVV), choroidal stromal volume (CSV), and choroidal vascular index (CVI) were measured using ultra-widefield OCT angiography. Thyroid hormone levels were collected in GD patients, including free triiodothyronine (FT3), free thyroxine (FT4), thyroid-stimulating hormone (TSH), thyroid-stimulating immunoglobulin (TSI), and anti-TSH receptor antibody (A-TSHR). Central foveal and parafoveal-superior choroidal thickness were reduced in Graves’ disease group ( P < 0.05). For CSV in the GD group, significant differences were observed in the central fovea, parafoveal-temporal, parafoveal-inferior, perifoveal-temporal, perifoveal-inferior regions (all P < 0.05), with the greatest reduction in the fovea ( P = 0.004). CVV differed only in the parafoveal-nasal region. Correlation analysis after bonferroni correction showed positive associations between CSV and TSI in the parafoveal-superior, parafoveal-nasal, and perifoveal-superior regions (Adjusted P < 0.05), and a inverse correlation between CVI and TSI in the fovea region (Adjusted P = 0.05). Patients with Graves’ disease without ocular signs show altered choroidal characteristics (CT, CSV, CVV) compared with healthy controls, among which CSV and CVI may be related to thyroid hormone levels, especially TSI.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Liang et al. (2026) studied this question.

synapsesocial.com/papers/69d0af68659487ece0fa5610https://doi.org/10.1016/j.pdpdt.2026.105453
Ask AI
Helpful
Bookmark
Share
View Full Paper