Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
469-06-002 ISMRM Abstract

MRI-based Radiomics Model for the Evaluation of CAS in Thyroid Eye Disease Patients

Primary: Analysis Methods - Classification and Prediction
Secondary: Neuro - Head & Neck/ENT
469-06-002 · Radiomics: Applications · Tuesday, 12 May, 4:55 PM–5:50 PM · Digital Posters Row J
Keywords: Deep Learning Segmentation Radiomics analysis Orbital MRI Thyroid Eye Disease Clinical Activity Score
Accepted
Yuanyuan Cui 1, Yunmeng Wang2, Xin Zhang2, Wenhao Jia3, Jiankun Dai4, Li Fan2, Shiyuan Liu2, Yi Xiao2
1The Second Affiliated Hospital of Naval Medical University, SHANGHAI, China
2Department of Radiology, The Second Affiliated Hospital of Naval Medical University, SHANGHAI, China
3Shanghai Jiuzhou Intelligent Medical Imaging Institute, Shanghai, China
4MR Research, Beijing, China
Presenting Author: Yuanyuan Cui

Synopsis

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References

1. Bahn RS. Graves' ophthalmopathy. N Engl J Med. 2010;362(8):726-738. doi:10.1056/NEJMra0905750. [doi]
2. Bahn RS. Current Insights into the Pathogenesis of Graves' Ophthalmopathy. Horm Metab Res. 2015;47(10):773-778. doi:10.1055/s-0035-1555762. [doi]
3. Barrio-Barrio J, Sabater AL, Bonet-Farriol E, Velázquez-Villoria Á, Galofré JC. Graves' Ophthalmopathy: VISA versus EUGOGO Classification, Assessment, and Management. J Ophthalmol. 2015;2015:249125. doi:10.1155/2015/249125. [doi]
4. Barrio-Barrio J, Sabater AL, Bonet-Farriol E, Velázquez-Villoria Á, Galofré JC. Graves' Ophthalmopathy: VISA versus EUGOGO Classification, Assessment, and Management. J Ophthalmol. 2015;2015:249125. doi:10.1155/2015/249125. [doi]
5. Mourits MP, Koornneef L, Wiersinga WM, Prummel MF, Berghout A, van der Gaag R. Clinical criteria for the assessment of disease activity in Graves' ophthalmopathy: a novel approach. Br J Ophthalmol. 1989;73(8):639-644. doi:10.1136/bjo.73.8.639. [doi]
6. Wang Y, Cui Y, Dai J, et al. Prospective Comparison of FOCUS MUSE and Single-Shot Echo-Planar Imaging for Diffusion-Weighted Imaging in Evaluating Thyroid-Associated Ophthalmopathy. Korean J Radiol. 2024;25(10):913-923. doi:10.3348/kjr.2024.0177. [doi]
7. Mayer EJ, Fox DL, Herdman G, et al. Signal intensity, clinical activity and cross-sectional areas on MRI scans in thyroid eye disease. Eur J Radiol. 2005;56(1):20-24. doi:10.1016/j.ejrad.2005.03.027. [doi]
8. Zhang K, Liu C, Pan J, et al. Use of MRI-based deep learning radiomics to diagnose sacroiliitis related to axial spondyloarthritis. Eur J Radiol. 2024;172:111347. doi:10.1016/j.ejrad.2024.111347. [doi]
9. Wang Y, Cui Y, Cheng Y, et al. Rapid multiparametric quantitative MRI for predicting the activity of thyroid-associated ophthalmopathy: combination with clinical characteristics. Eur Radiol. Published online June 9, 2025. doi:10.1007/s00330-025-11691-1. [doi]
10. Zhu H, Zou M, Wu D, et al. Quantitative assessment of extraocular muscles in Graves' ophthalmopathy using T1 mapping. Eur Radiol. 2023;33(12):9074-9083. doi:10.1007/s00330-023-09931-3. [doi]

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http://echo.ismrm.org/p/ISMRM2026/469-06-002