ArticleBMC endocrine disorders2024
Application of apparent diffusion coefficient of extraocular muscles from diffusion tensor imaging scanning in the assessment of disease activity of thyroid eye disease.
Article in BMC endocrine disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Associations Between Peripheral Blood Inflammatory and Immune Markers and Osteoporotic and Fragility Fractures: A Systematic Review and Meta-Analysis.Calcified tissue international · 2026Pooled it
- Quantitative intravoxel incoherent motion diffusion-weighted imaging histogram profiling identifies diffusion biomarkers for active thyroid-associated ophthalmopathy.BMC medical imaging · 2026Article
- SPECT/CT imaging in thyroid eye disease: an emerging role in assessing sub-clinical activity.Frontiers in ophthalmology · 2026Review
- Advancements in imaging research in thyroid-associated ophthalmopathy.Frontiers in endocrinology · 2025Review
- Assessment of disease activity in Graves' orbitopathy.Frontiers in ophthalmology · 2025Review
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Authors and funding
6 authors.
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Abstract
purposeTo evaluate the utility of apparent diffusion coefficient (ADC) values of extraocular muscles (EOMs) in differentiating activity of thyroid eye disease (TED).
methodForty-two TED patients who underwent diffusion tensor imaging(DTI) were retrospectively enrolled in this study, including 29 patients in analysis group and 13 patients in validation group. The mean, maximum and minimum ADC value of each EOM were regarded as ADCmean, ADCmax and ADCmin. The difference between ADCmax and ADCmin was regarded as △ADC. The correlations between ADCmean or △ADC of each EOM and clinical activity score (CAS) were assessed.
resultsIn analysis group, ADCmean differed between active and inactive eyes and positively correlated with CAS in IR (P < 0.05), not in SR,LR and MR(all p > 0.05). While △ADC differed between two groups and negatively correlated with CAS in all EOMs (all P < 0.05). ADCmean predicted active disease at cut-off value of 1259.3 × 10
conclusionsOur results showed that DTI is a valuable tool in the assessment of disease activity of TED. Both ADCmean of IR and △ADC of all four EOMs can be used in discriminating disease activity with the same predictive power.
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