ArticleEuropean radiology2021
Dixon-T2WI magnetic resonance imaging at 3 tesla outperforms conventional imaging for thyroid eye disease.
Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.
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Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.
- The diagnostic performance comparison between T2 mapping and Dixon against the activity of thyroid-associated ophthalmopathy: a systematic review and meta-analysis.Frontiers in endocrinology · 2024Pooled it
- Current insights of applying MRI in Graves' ophthalmopathy.Frontiers in endocrinology · 2022Pooled it
- Quantitative Multi-Parameter MRI Evaluation of Hashimoto's Thyroiditis Changes After Dietary Interventions.Medical science monitor : international medical journal of experimental and clinical research · 2025Trial
- Quantitative evaluation of synthetic MRI for assessing disease activity in thyroid eye disease.European radiology experimental · 2026Article
- Enhanced detection of optic neuritis with contrast-enhanced 3D FLAIR in orbital MRI.Neuroradiology · 2026Article
- Added value of multiparametric MRI combining dynamic contrast-enhanced and diffusion-weighted imaging for determining thyroid-associated ophthalmopathy activity.European radiology · 2026Article
- Quantitative intravoxel incoherent motion diffusion-weighted imaging histogram profiling identifies diffusion biomarkers for active thyroid-associated ophthalmopathy.BMC medical imaging · 2026Article
- Application progress of magnetic resonance imaging in thyroid associated ophthalmopathy.Frontiers in endocrinology · 2025Review
- Advancements in imaging research in thyroid-associated ophthalmopathy.Frontiers in endocrinology · 2025Review
- Histogram of Apparent Diffusion Coefficient to Evaluate the Activity of Thyroid-Associated Ophthalmopathy.Immunity, inflammation and disease · 2025Article
- A Prediction Model for Detecting Dysthyroid Optic Neuropathy Based on Clinical Factors and Imaging Markers of the Optic Nerve and Cerebrospinal Fluid in the Optic Nerve Sheath.Current medical science · 2024Article
- Deep learning methods for diagnosis of graves' ophthalmopathy using magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2024Article
- Whole-orbit-based multiparametric assessment of disease activity of thyroid eye disease on Dixon MRI.International ophthalmology · 2024Article
- MRI quantitative assessment of the effects of low-carbohydrate therapy on Hashimoto's thyroiditis.Endocrine connections · 2024Article
- Assessing the relationship between levator palpebrae superioris and thyroid-associated ophthalmopathy using the Dixon-T2WI sequence.Frontiers in endocrinology · 2024Article
- Extraocular muscle volume index at the orbital apex with optic neuritis: a combined parameter for diagnosis of dysthyroid optic neuropathy.European radiology · 2023Article
- Graves' Eye Disease: Clinical and Radiological Diagnosis.Biomedicines · 2023Review
- Image quality and evaluation ability of magnetic resonance imaging techniques for thyroid-associated ophthalmopathy: Dixon fat-suppression technique vs. spectral attenuated inversion recovery.Frontiers in medicine · 2023Article
- Computed tomography and magnetic resonance imaging approaches to Graves' ophthalmopathy: a narrative review.Frontiers in endocrinology · 2023Review
- Radiomics analysis of the optic nerve for detecting dysthyroid optic neuropathy, based on water-fat imaging.Insights into imaging · 2022Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo determine the diagnostic performances of a single Dixon-T2-weighted imaging (WI) sequence compared to a conventional protocol including T1-, T2-, and fat-suppressed T2-weighted MRI at 3 T when assessing thyroid eye disease (TED). MATERIALS AND
methodsThis IRB-approved prospective single-center study enrolled participants presenting with confirmed TED from April 2015 to October 2019. They underwent an MRI, including a conventional protocol and a Dixon-T2WI sequence. Two neuroradiologists, blinded to all data, read both datasets independently and randomly. They assessed the presence of extraocular muscle (EOM) inflammation, enlargement, fatty degeneration, or fibrosis as well as the presence of artifacts. The Wilcoxon signed-rank test was used.
resultsTwo hundred six participants were enrolled (135/206 [66%] women, 71/206 [34%] men, age 52.3 ± 13.2 years). Dixon-T2WI was significantly more likely to detect at least one inflamed EOM as compared to the conventional set (248/412 [60%] versus 228/412 [55%] eyes; (p = 0.02). Dixon-T2WI was more sensitive and specific than the conventional set for assessing muscular inflammation (100% versus 94.7% and 71.2% versus 68.5%, respectively). Dixon-T2WI was significantly less likely to show major or minor artifacts as compared to fat-suppressed T2WI (20/412 [5%] versus 109/412 [27%] eyes, p < 0.001, and 175/412 [42%] versus 257/412 [62%] eyes, p < 0.001). Confidence was significantly higher with Dixon-T2WI than with the conventional set (2.35 versus 2.24, p = 0.003).
conclusionDixon-T2WI showed higher sensitivity and specificity and showed fewer artifacts than a conventional protocol when assessing thyroid eye disease, in addition to higher self-reported confidence. KEY POINTS: • Dixon-T2WI has better sensitivity and specificity than a conventional protocol for assessing inflamed extraocular muscles in patients with thyroid eye disease. • Dixon-T2WI shows significantly fewer artifacts than fat-suppressed T2WI. • Dixon-T2WI is faster and is associated with significantly higher self-reported reader confidence as compared to a conventional protocol when assessing inflammatory extraocular muscles.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.