Related Experiment Video
Updated: Jan 8, 2026

05:41
Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis
Published on: February 9, 2024
1.0K
Correlation between intraorbital structural alterations and diplopia in thyroid-associated ophthalmopathy: an
Lianbi Zhang1, Chong Yuan2, Yufei Gao3
1Department of Radiology, The Affiliated Hospital of Yunnan University Kunming 650021, Yunnan, China.
American Journal of Translational Research
|December 19, 2025
Summary
Magnetic resonance imaging (MRI) reveals that increased thickness of eye muscles and greater muscle volume are risk factors for diplopia in thyroid-associated ophthalmopathy (TAO). Higher thyroid-stimulating hormone receptor antibody (TRAb) levels are protective against double vision in TAO patients.
Area of Science:
- Ophthalmology
- Endocrinology
- Radiology
Background:
- Thyroid-associated ophthalmopathy (TAO) is an autoimmune condition affecting the eye muscles and orbital tissues.
- Diplopia, or double vision, is a common and debilitating symptom in TAO patients.
- Understanding the structural basis of diplopia in TAO is crucial for effective management.
Purpose of the Study:
- To investigate the correlation between intraorbital tissue structures and diplopia in TAO patients using magnetic resonance imaging (MRI).
- To identify imaging biomarkers for predicting and understanding the development of diplopia in TAO.
Main Methods:
- Retrospective analysis of 228 TAO patients diagnosed between March 2021 and June 2024.
- Patients were categorized into diplopia (n=105) and non-diplopia (n=123) groups.
- Logistic regression and ROC curve analysis were used to evaluate imaging parameters and clinical factors.
Main Results:
- Increased thickness of the inferior, medial, and lateral rectus muscles, along with greater extraocular muscle volume (EMV), were identified as independent risk factors for diplopia (P<0.05).
- Higher thyroid-stimulating hormone receptor antibody (TRAb) levels were found to be an independent protective factor against diplopia (P<0.05).
- A combined predictive model using MRI parameters achieved an excellent area under the curve (AUC) of 0.986 for diplopia prediction.
Conclusions:
- MRI allows for quantitative assessment of intraorbital structural changes in TAO.
- MRI findings, when combined with clinical data, can aid in the early identification and intervention of diplopia in TAO patients.
- Specific MRI metrics can serve as valuable predictors of diplopia risk in TAO.

