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Updated: Jan 9, 2026
Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis
Published on: February 9, 2024
Quantitative analysis of orbital soft tissue for the detection of dysthyroid optic neuropathy in patients with
Weiqiang Liang1,2, Yanqiang Ma3, Yu Chen1
1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background:
Dysthyroid optic neuropathy (DON) is a vision-threatening complication of thyroid-associated ophthalmopathy (TAO). The underlying pathophysiology is believed to involve compression of the optic nerve at the orbital apex, primarily due to edema and volumetric expansion of orbital soft tissues. Early detection of DON is crucial to prevent irreversible visual loss. However, reliable imaging biomarkers for early diagnosis remain limited. This study aimed to investigate whether orbital soft tissue volume and water fraction (WF), derived from three-dimensional cube fast spin-echo Flex (3D Cube FSE-Flex) magnetic resonance imaging (MRI), can serve as predictive markers for DON in TAO patients.
Methods:
In this retrospective study, 3D Cube FSE-Flex MRI images and clinical data were analyzed from 60 patients with TAO (27 with DON, 33 without). A total of 116 orbits (53 with DON, 63 without) were included. Quantitative measurements of extraocular muscle volume (EOMV), water fraction of extraocular muscles (EOM-WF), and orbital fat (OF-WF) were obtained using semi-automated segmentation. Group comparisons were performed using appropriate statistical tests. Logistic regression was used to identify risk factors for DON, and receiver operating characteristic (ROC) curve analysis was employed to evaluate diagnostic performance. Correlation analysis was conducted to assess relationships between imaging parameters and clinical activity scores (CAS).
Results:
DON orbits showed significantly higher EOMV, EOM-WF, and OF-WF compared to non-DON orbits (all P<0.001). Logistic regression revealed that increased EOMV [odds ratio (OR) =1.555; 95% confidence interval (CI): 1.250-1.934] and higher OF-WF (OR =1.190; 95% CI: 1.064-1.332) were independent risk factors for DON. A combined model incorporating EOMV and OF-WF demonstrated good diagnostic performance [area under the curve (AUC) =0.843]. Additionally, both EOMV (P=0.015, r=0.333) and OF-WF (P=0.025, r=0.308) were positively correlated with CAS.
Conclusions:
Quantitative MRI analysis using 3D Cube FSE-Flex reveals that enlargement and edema of orbital soft tissues-specifically EOMV and OF-WF-are significant risk factors for DON. The combination of these parameters provides a robust imaging biomarker for early identification of DON in TAO patients, with potential clinical utility in risk stratification and treatment planning.
