Preview

Ophthalmology in Russia

Advanced search

Basic Approaches to Standardizing the Method of Orbital Computed Tomography in Thyroid Eye Disease

https://doi.org/10.18008/1816-5095-2026-2-335-347

Abstract

Thyroid Eye Disease (TED) is an autoimmune condition requiring precise imaging for diagnosis, assessment of severity/activity, and treatment planning. The lack of unified orbital Computed Tomography (CT) protocols leads to variability in results and unjustified radiation exposure. Currently, Multi-Slice Computed Tomography (MSCT) is widely used due to its high resolution, short scanning time, low artifact generation, and cost-effectiveness. Standardization of orbital CT is essential to improve reproducibility, diagnostic accuracy, and minimize risks. The aim of the study is to optimize the orbital CT protocol to ensure reproducible and accurate measurements with minimal radiation exposure, in order to obtain reliable data for diagnosing TED, assessing the severity and activity of the process, and for planning and monitoring treatment. The article clearly outlines the indications for orbital CT in TED. Standardized parameters for performing orbital MSCT are presented. A unified setup of key technical scanning parameters, such as tube voltage and current with mandatory use of automatic modulation, along with optimized slice thickness and reconstruction interval, ensures not only high reproducibility and image detail but also guarantees strict adherence to the principle of minimizing radiation exposure for each individual patient. A comparative characteristic of alternative diagnostic methods without radiation exposure (magnetic resonance imaging and ultrasound examination of the orbits) is provided. Parameters for assessment and criteria for evaluating the orbital structures during CT are described in detail. The role of specialized software and deep learning for automating segmentation and volumetric analysis is noted. A structured protocol for a radiologist’s report is proposed. The article presents a comprehensive approach to standardizing orbital CT examination in TED, focusing on optimizing scanning parameters to balance image quality and radiation dose, clear criteria for describing pathology, and the integration of modern technologies. This is necessary to improve diagnosis, prognosis, treatment planning (especially decompression), and minimize risks for patients.

About the Authors

D. S. Atarshchikov
MEDSI Group of Companies
Russian Federation

Atarshchikov Dmitry S. - PhD, ophthalmologist, ophthalmic surgeon, orbital surgeon, oculoplastic surgeon 

Michurinsky ave., 56/1, Moscow, 119192



E. S. Taskina
Chita State Medical Academy
Russian Federation

Taskina Elizaveta S. - PhD, Associate Professor, Associate Professor of the Department of Ophthalmology, ophthalmologist 

Gorky str., 39А, Chita, 672000



A. E. Egorov
Pirogov Russian Scientific Research Medical University
Russian Federation

Egorov Alexey E. - MD, Professor, Professor of the Academician A.P. Nesterov Department of Ophthalmology, Institute of Clinical Medicine, ophthalmologist 

Ostrovityanova str., 1, Moscow, 117513



Е. A. Stepanova
Moscow Regional Research and Clinical Institute (“MONIKI”)
Russian Federation

Stepanova Elena A. - MD, head of the Department of Radiation Diagnostics, head of the Chair of Radiation Diagnostics, Postgraduate Training Faculty 

Shchepkina str., 61/2, Moscow, 129110



V. A. Seleznev
Ilyinskaya Hospital
Russian Federation

Seleznev Vasiliy A. - PhD, leading maxillofacial surgeon 

Rublevskoye Predmestye str., 2/2, Moscow Region, Krasnogorsk Urban District, Glukhovo Village, 143421



N. I. Kibalina
MEDSI Group of Companies
Russian Federation

Kibalina Natalia I. - plastic surgeon 

Michurinsky ave., 56/1, Moscow, 119192



References

1. Bartalena L, Tanda ML. Current concepts regarding Graves’ orbitopathy. J Intern Med. 2022;292(5):692–716. doi: 10.1111/joim.13524.

2. Bartalena L, Piantanida E, Gallo D, Lai A, Tanda ML. Epidemiology, Natural History, Risk Factors, and Prevention of Graves’ Orbitopathy. Front Endocrinol (Lausanne). 2020;11:615993. doi: 10.3389/fendo.2020.615993.

3. Yu CY, Ford RL, Wester ST, Shriver EM. Update on thyroid eye disease: Regional variations in prevalence, diagnosis, and management. Indian J Ophthalmol. 2022;70(7):2335–2345. doi: 10.4103/ijo.IJO_3217_21.

4. Muralidhar A, Das S, Tiple S. Clinical profile of thyroid eye disease and factors predictive of disease severity. Indian J Ophthalmol. 2020;68(8):1629–1634. doi: 10.4103/ijo.IJO_104_20.

5. Luccas R, Riguetto CM, Alves M, Zantut-Wittmann DE, Reis F. Computed tomography and magnetic resonance imaging approaches to Graves’ ophthalmopathy: a narrative review. Front Endocrinol (Lausanne). 2024;14:1277961. doi: 10.3389/fendo.2023.1277961.

6. Schuh A, Ayvaz G, Baldeschi L, Baretić M, Bechtold D, Boschi A, Brix TH, Burlacu MC, Ciric J, Covelli D, Currò N, Donati S, Eckstein AK, Fichter N, Führer D, Horn M, Jabłońska-Pawlak A, Juri Mandić J, Kahaly GJ, Konuk O, Langbein A, Lanzolla G, Marcocci C, Marinò M, Miśkiewicz P, Beleslin BN, Pérez-Lázaro A, PérezLópez M, Ponto KA, Quinn A, Rudofsky G, Salvi M, Schittkowski MP, Tanda ML, Toruner F, Vaidya B, Hintschich CR. Presentation of Graves’ orbitopathy within European Group On Graves’ Orbitopathy (EUGOGO) centres from 2012 to 2019 (PREGO III). Br J Ophthalmol. 2024;108(2):294–300. doi: 10.1136/bjo-2022-322442.

7. Quaranta-Leoni FM, Paridaens D, Verity D. European Society of Ophthalmic Plastic and Reconstructive Surgery (ESOPRS) recommendations for oculoplastic surgeons during the COVID-19 pandemic: a hallenge for the future. Orbit. 2020;39(6):460–462. doi: 10.1080/01676830.2020.1808022.

8. Seeram E. Computed Tomography: A Technical Review. Radiol Technol. 2018;89(3): 279CT–302CT.

9. Watanabe EM, Cavazzana RY, Ribeiro DAM, Brandao LC, Haddad AV, Corrente JE, Trindade AP, Jorge EC. Morphometric analysis of extraocular muscles and proptosis by computed tomography in Graves’ orbitopathy. Radiol Bras. 2024;57:e20240040en. doi: 10.1590/0100-3984.2024.0040-en.

10. Rana K, Juniat V, Patel S, Selva D. Extraocular muscle enlargement. Graefes Arch Clin Exp Ophthalmol. 2022;260(11):3419–3435. doi: 10.1007/s00417-022-05727-1.

11. Damilakis J. CT Dosimetry: What Has Been Achieved and What Remains to Be Done. Invest Radiol. 2021;56(1):62–68. doi: 10.1097/RLI.0000000000000727.

12. Liu Z, Tan K, Zhang H, Sun J, Li Y, Fang S, Li J, Song X, Zhou H, Zhai G. CT-based artificial intelligence prediction model for ocular motility score of thyroid eye disease. Endocrine. 2024;86(3):1055–1064. doi: 10.1007/s12020-024-03906-0.

13. North VS, Freitag SK. AReviewofImaging ModalitiesinThyroid-associated Orbitopathy. Int Ophthalmol Clin. 2019;59(4):81–93. doi: 10.1097/IIO.0000000000000289.

14. Byun JS, Moon NJ, Lee JK. Quantitative analysis of orbital soft tissues on computed tomography to assess the activity of thyroid-associated orbitopathy. Graefes Arch Clin Exp Ophthalmol. 2017;255(2):413–420. doi: 10.1007/s00417-016-3538-0.

15. Martin CJ, Sookpeng S. Setting up computed tomography automatic tube current modulation systems. J Radiol Prot. 2016;36(3):R74–R95. doi: 10.1088/09524746/36/3/R74.

16. Rana K, Garg D, Yong LSS, Macri C, Tong JY, Patel S, Slattery J, Chan WO, Davis G, Selva D. Extraocular muscle enlargement in dysthyroid optic neuropathy. Can J Ophthalmol. 2024;59(5):e542–e546. doi: 10.1016/j.jcjo.2023.11.015.

17. Satharasinghe DM, Jeyasugiththan J, Wanninayake WMNMB, Pallewatte AS. Sizespecific dose estimates (SSDEs) for computed tomography and influencing factors on it: a systematic review. J Radiol Prot. 2021;41(4). doi: 10.1088/1361-6498/ac20b0.

18. Lee HJ, Kim J, Kim KW, Lee SK, Yoon JS. Feasibility of a low-dose orbital CT protocol with a knowledge-based iterative model reconstruction algorithm for evaluating Graves’ orbitopathy. Clin Imaging. 2018;51:327–331. doi: 10.1016/j.clinimag.2018.06.018.

19. Babayeva DM, Bessmertnaya EG, Tarbaeva NV, Volevodz NN, Sviridenko NYu, Mokrysheva NG. Magnetic resonance imaging of the orbits in the diagnosis of endocrine ophthalmopathy: a literature review. Bulletin of the Russian Scientific Center of X-ray Radiology. 2023.2:87–109 (In Russ.).

20. Gagliardo C, Radellini S, Morreale Bubella R, Falanga G, Richiusa P, Vadala M, Ciresi A, Midiri M, Giordano C. Lacrimal gland herniation in Graves ophthalmopathy: a simple and useful MRI biomarker of disease activity. Eur Radiol. 2020;30(4):2138–2141. doi: 10.1007/s00330-019-06570-5.

21. Karhanova M, Сivrny J, Kalitova J, Schovanek J, Paskova B, Schreiberova Z, Hubnerova P. Computed tomography and magnetic resonance imaging of the orbit in the diagnosis and treatment of thyroid-associated orbitopathy — experience from practice. AReview. Cesk Slov Oftalmol. 2023;79(6):283–292. doi: 10.31348/2023/10.

22. Karhanova M, Civrny J, Kalitova J, Schovanek J, Maluskova M, Hrevus M, Schreiberova Z. Ultrasound examination of the orbit in patients with thyroidassociated orbitopathy — examination guide and recommendations for everyday practice. A review. Cesk Slov Oftalmol. 2024;80(1):3–11.

23. Klingenstein A, Samel C, Garip-Kubler A, Hintschich C, Muller-Lisse UG. Crosssectional computed tomography assessment of exophthalmos in comparison to clinical measurement via Hertel exophthalmometry. Sci Rep. 2022;12(1):11973. doi: 10.1038/s41598-022-16131-4.

24. Xiong C, Ren Z, Li X, Jin Q, Wang S, Gan P, Wang Y, Liao H. Orbital computed tomography imaging characteristics of thyroid-associated ophthalmopathy. Sci Rep. 2024;14(1):28960. doi: 10.1038/s41598-024-76624-2.

25. Alkhadrawi AM, Lin LY, Langarica SA, Kim K, Ha SK, Lee NG, Do S. Deep-Learning Based Automated Segmentation and Quantitative Volumetric Analysis of Orbital Muscle and Fat for Diagnosis of Thyroid Eye Disease. Invest Ophthalmol Vis Sci. 2024;65(5):6. doi: 10.1167/iovs.65.5.6.

26. Chaganti S, Mundy K, DeLisi MP, Nelson KM, Harrigan RL, Galloway RL, Landman BA, Mawn LA. Assessment of Orbital Computed Tomography (CT) Imaging Biomarkers in Patients with Thyroid Eye Disease. J Digit Imaging. 2019;32(6):987–994. doi: 10.1007/s10278-019-00195-2.

27. Yang J, Chen J, Shi B, You Y, Pi X, Zhao G, Jiang F. Effects of various extraocular muscle enlargement patterns on muscle diameter index in graves ophthalmopathy patients: a retrospective cohort study. Sci Rep. 2023;13(1):16939. doi: 10.1038/s41598-023-43942-w.

28. Song X, Liu Z, Li L, Gao Z, Fan X, Zhai G, Zhou H. Artificial intelligence CT screening model for thyroid-associated ophthalmopathy and tests under clinical conditions. Int J Comput Assist Radiol Surg. 2021;16(2):323–330. doi: 10.1007/s11548020-02281-1.

29. Lee J, Lee S, Lee WJ, Moon NJ, Lee JK. Neural network application for assessing thyroid-associated orbitopathy activity using orbital computed tomography. Sci Rep. 2023;13(1):13018. doi: 10.1038/s41598-023-40331-1.

30. Sun R, Yin Z, Li L, Zhou H, Song X, Li Y. A novel method of measuring proptosis with computed tomography. Acta Radiol. 2023;64(9):2603–2610. doi: 10.1177/02841851231187859.

31. Park NR, Moon JH, Lee JK. Hertel exophthalmometer versus computed tomography scan in proptosis estimation in thyroid-associated orbitopathy. Clin Ophthalmol. 2019;13:1461–1467. doi: 10.2147/OPTH.S216838.

32. Wang Y, Mettu P, Broadbent T, Radke P, Firl K, Shepherd JB 3rd, Couch SM, Nguyen A, Henderson AD, McCulley T, McClelland CM, Mokhtarzadeh A, Lee MS, Garrity JA, Harrison AR. Thyroid eye disease presenting with superior rectus/levator complex enlargement. Orbit. 2020;39(1):5–12. doi: 10.1080/01676830.2019.1594969.

33. Park K, Li J, Wen J, Li S, Lee J, Danesh K, Malkoff N, Gokoffski K, Lerner A, Patel V, Zhang-Nunes S, Chang J. Extraocular Muscle Enlargement in Thyroid Eye Disease Using Volumetric Analysis. Cureus. 2024;16(7):e63843. doi: 10.7759/cureus.63843.

34. Davies MJ, Dolman PJ. Levator Muscle Enlargement in Thyroid Eye Disease-Related Upper Eyelid Retraction. Ophthalmic Plast Reconstr Surg. 2017;33(1):35–39. doi: 10.1097/IOP.0000000000000633.

35. Dutton JJ. Anatomic Considerations in Thyroid Eye Disease. Ophthalmic Plast Reconstr Surg. 2018;4S(1):S7–S12. doi: 10.1097/IOP.0000000000001122.

36. Cheng S, Ming Y, Hu M, Zhang Y, Jiang F, Wang X, Xiao Z. Risk prediction of dysthyroid optic neuropathy based on CT imaging features combined the bony orbit with the soft tissue structures. Front Med (Lausanne). 2022;9:936819. doi: 10.3389/fmed.2022.936819.

37. Srisombut T, Arjkongharn N, Vongsa N, Kanacharoen A, Kemchoknatee P. Orbital CT scan parameters in dysthyroid optic neuropathy: a systematic review and metaanalysis. Eye (Lond). 2024:1734–1741. doi: 10.1038/s41433-024-03011-6.

38. Kemchoknatee P, Chenkhumwongse A, Dheeradilok T, Srisombut T. Diagnostic Ability of Barrett’s Index and Presence of Intracranial Fat Prolapse in Dysthyroid Optic Neuropathy. Clin Ophthalmol. 2022;16:2569–2578. doi: 10.2147/OPTH.S364987.

39. Barrett L, Glatt HJ, Burde RM, Gado MH. Optic nerve dysfunction in thyroid eye disease: CT. Radiology. 1988;167(2):503–507. doi: 10.1148/radiology.167.2.3357962.

40. Caltabiano C, Rana K, Beecher MB, Selva D. Radiological measurements of lacrimal gland in thyroid eye disease. Int Ophthalmol. 2024;44(1):11. doi: 10.1007/s10792024-02991-4.

41. Zhao RX, Shi TT, Luo S, Liu YF, Xin Z, Yang JK. The value of SPECT/CT imaging of lacrimal glands as a means of assessing the activity of Graves’ orbitopathy. Endocr Connect. 2022;11(2):e210590. doi: 10.1530/EC-21-0590.

42. Gouveris HT, Al-Homsi J, Gosepath J, Mann WJ. Histological and radiological signs indicative for chronic sinus mucosal inflammation in Graves’ ophthalmopathy. Rhinology. 2009;47(2):144–147.

43. Lu Y, Wu Y, Huang Y, Fang S, Li Y, Sun J, Zhou H. Immunological Features of Paranasal Sinus Mucosa in Patients with Graves’ Orbitopathy. Front Endocrinol (Lausanne). 2021;11:621321. doi: 10.3389/fendo.2020.621321.

44. Limone PP, Mellano M, Ruo Redda MG, Macera A, Ferrero V, Sellari Franceschini S, Deandrea M. Graves’ orbitopathy: a multidisciplinary approach. Q J Nucl Med Mol Imaging. 2021;65(2):157–171. doi: 10.23736/S1824-4785.21.03350-1.

45. Nawaz S, Lal S, Butt R, Ali M, Shahani B, Dadlani A. Computed Tomography Evaluation of Normal Lacrimal Gland Dimensions in the Adult Pakistani Population. Cureus. 2020;12(3):e7393. doi: 10.7759/cureus.7393.


Review

For citations:


Atarshchikov D.S., Taskina E.S., Egorov A.E., Stepanova Е.A., Seleznev V.A., Kibalina N.I. Basic Approaches to Standardizing the Method of Orbital Computed Tomography in Thyroid Eye Disease. Ophthalmology in Russia. 2026;23(2):335-347. (In Russ.) https://doi.org/10.18008/1816-5095-2026-2-335-347

Views: 23

JATS XML


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1816-5095 (Print)
ISSN 2500-0845 (Online)