Korean Journal of Radiology

  • 제25권10호
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  • Pages.913-923
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  • 2024
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  • 1229-6929(pISSN)
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  • 2005-8330(eISSN)
대한영상의학회 (The Korean Society of Radiology)
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Prospective Comparison of FOCUS MUSE and Single-Shot Echo-Planar Imaging for Diffusion-Weighted Imaging in Evaluating Thyroid-Associated Ophthalmopathy

  • YunMeng Wang (Graduate School of Bengbu Medical University) ;
  • YuanYuan Cui (Department of Radiology, Second Affiliated Hospital of Naval Medical University) ;
  • JianKun Dai (GE Healthcare) ;
  • ShuangShuang Ni (Department of Radiology, Second Affiliated Hospital of Naval Medical University) ;
  • TianRan Zhang (Department of Radiology, Second Affiliated Hospital of Naval Medical University) ;
  • Xin Chen (Department of Radiology, Second Affiliated Hospital of Naval Medical University) ;
  • QinLing Jiang (Department of Radiology, Second Affiliated Hospital of Naval Medical University) ;
  • YuXin Cheng (Department of Radiology, Second Affiliated Hospital of Naval Medical University) ;
  • YiChuan Ma (Department of Radiology, The First Affiliated Hospital of Bengbu Medical University) ;
  • Tuo Li (Department of Endocrinology, Changzheng Hospital) ;
  • Yi Xiao (Department of Radiology, Second Affiliated Hospital of Naval Medical University)
  • 투고 : 2024.02.20
  • 심사 : 2024.08.02
  • 발행 : 2024.10.01
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초록

Objective: To prospectively compare single-shot (SS) echo-planar imaging (EPI) and field-of-view optimized and constrained undistorted single-shot multiplexed sensitivity-encoding (FOCUS MUSE) for diffusion-weighted imaging (DWI) in evaluating thyroid-associated ophthalmopathy (TAO). Materials and Methods: SS EPI and FOCUS MUSE DWIs were obtained from 39 patients with TAO (18 male; mean ± standard deviation: 48.3 ± 13.3 years) and 26 healthy controls (9 male; mean ± standard deviation: 43.0 ± 18.5 years). Two radiologists scored the visual image quality using a 4-point Likert scale. The image quality score, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and apparent diffusion coefficient (ADC) of extraocular muscles (EOMs) were compared between the two DWIs. Differences in the ADC of EOMs were also evaluated. The performance of discriminating active from inactive TAO was assessed using receiver operating characteristic curves. The correlation between ADC and clinical activity score (CAS) was analyzed using Spearman correlation. Results: Compared with SS EPI DWI, FOCUS MUSE DWI demonstrated significantly higher image quality scores (P < 0.001), a higher SNR and CNR on the lateral rectus muscle (LRM) and medial rectus muscle (MRM) (P < 0.05), and a non-significant difference in the ADC of the LRM and MRM. Active TAO showed higher ADC than inactive TAO and healthy controls with both SS EPI and FOCUS MUSE DWIs (P < 0.001). Inactive TAO and healthy controls did not show a significant ADC difference with both DWIs. Compared with SS EPI DWI, FOCUS MUSE DWI demonstrated better discrimination of active from inactive TAO (AUC: 0.925 vs. 0.779; P = 0.007). The ADC was significantly correlated with CAS in SS EPI DWI (r = 0.391, P < 0.001) and FOCUS MUSE DWI (r = 0.645, P < 0.001). Conclusion: FOCUS MUSE DWI provides better images for evaluating EOMs and better performance in diagnosing active TAO than SS EPI DWI. The application of FOCUS MUSE will facilitate the DWI evaluation of TAO.

키워드

과제정보

First of all, I would like to give my heartfelt thanks to all the people who have ever helped me in this paper. My sincere and hearty thanks and appreciations go firstly to my supervisor, Mrs. Xiao Yi, whose suggestions and encouragement have given me much insight into these translation studies. It has been a great privilege and joy to study under her guidance and supervision. My gratitude to her knows no bounds. I am also extremely grateful to all my teachers and classmates who have kindly provided me assistance and companionship in the course of preparing this paper. Finally, I am really grateful to all those who devote much time to reading this thesis and give me much advice, which will benefit me in my later study.

참고문헌

  1. Burch HB, Perros P, Bednarczuk T, Cooper DS, Dolman PJ, Leung AM, et al. Management of thyroid eye disease: a consensus statement by the American Thyroid Association and the European Thyroid Association. Thyroid 2022;32:1439-1470
  2. Barrio-Barrio J, Sabater AL, Bonet-Farriol E, Velazquez-Villoria A, Galofre JC. Graves' ophthalmopathy: VISA versus EUGOGO classification, assessment, and management. J Ophthalmol 2015;2015:249125
  3. 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;73:639-644
  4. Mourits MP, Prummel MF, Wiersinga WM, Koornneef L. Clinical activity score as a guide in the management of patients with Graves' ophthalmopathy. Clin Endocrinol (Oxf) 1997;47:9-14
  5. Politi LS, Godi C, Cammarata G, Ambrosi A, Iadanza A, Lanzi R, et al. Magnetic resonance imaging with diffusion-weighted imaging in the evaluation of thyroid-associated orbitopathy: getting below the tip of the iceberg. Eur Radiol 2014;24:1118-1126
  6. Higashiyama T, Nishida Y, Morino K, Ugi S, Nishio Y, Maegawa H, et al. Use of MRI signal intensity of extraocular muscles to evaluate methylprednisolone pulse therapy in thyroidassociated ophthalmopathy. Jpn J Ophthalmol 2015;59:124-130
  7. Ritchie AE, Lee V, Feeney C, Lingam RK. Using nonechoplanar diffusion-weighted MRI to assess treatment response in active Graves orbitopathy: a novel approach with 2 case reports. Ophthalmic Plast Reconstr Surg 2016;32:e67-e70
  8. Kilicarslan R, Alkan A, Ilhan MM, Yetis H, Aralasmak A, Tasan E. Graves' ophthalmopathy: the role of diffusion-weighted imaging in detecting involvement of extraocular muscles in early period of disease. Br J Radiol 2015;88:20140677
  9. Liu X, Su Y, Jiang M, Fang S, Huang Y, Li Y, et al. Application of magnetic resonance imaging in the evaluation of disease activity in Graves' ophthalmopathy. Endocr Pract 2021;27:198-205
  10. Yu W, Zheng L, Shuo Z, Xingtong L, Mengda J, Lin Z, et al. Evaluation of extraocular muscles in patients with thyroid associated ophthalmopathy using apparent diffusion coefficient measured by magnetic resonance imaging before and after radiation therapy. Acta Radiol 2022;63:1180-1186
  11. Besson FL, Fernandez B, Faure S, Mercier O, Seferian A, Blanchet E, et al. Diffusion-weighted imaging voxelwise-matched analyses of lung cancer at 3.0-T PET/MRI: reverse phase encoding approach for echo-planar imaging distortion correction. Radiology 2020;295:692-700
  12. Fu Q, Liu D, Ma H, Zhou K, Yin T, Zheng C, et al. Turbo gradient and spin-echo BLADE-DWI for extraocular muscles in thyroid-associated ophthalmopathy. J Clin Med 2023;12:344
  13. Semelka RC, Kelekis NL, Thomasson D, Brown MA, Laub GA. HASTE MR imaging: description of technique and preliminary results in the abdomen. J Magn Reson Imaging 1996;6:698-699
  14. Li Z, Pipe JG, Lee CY, Debbins JP, Karis JP, Huo D. X-PROP: a fast and robust diffusion-weighted propeller technique. Magn Reson Med 2011;66:341-347
  15. Tanabe M, Higashi M, Benkert T, Imai H, Miyoshi K, Kameda F, et al. Reduced field-of-view diffusion-weighted magnetic resonance imaging of the pancreas with tilted excitation plane: a preliminary study. J Magn Reson Imaging 2021;54:715-720
  16. Riffel P, Michaely HJ, Morelli JN, Pfeuffer J, Attenberger UI, Schoenberg SO, et al. Zoomed EPI-DWI of the pancreas using two-dimensional spatially-selective radiofrequency excitation pulses. PLoS One 2014;9:e89468
  17. Saritas EU, Cunningham CH, Lee JH, Han ET, Nishimura DG. DWI of the spinal cord with reduced FOV single-shot EPI. Magn Reson Med 2008;60:468-473
  18. Korn N, Kurhanewicz J, Banerjee S, Starobinets O, Saritas E, Noworolski S. Reduced-FOV excitation decreases susceptibility artifact in diffusion-weighted MRI with endorectal coil for prostate cancer detection. Magn Reson Imaging 2015;33:56-62
  19. Dong H, Li Y, Li H, Wang B, Hu B. Study of the reduced field-of-view diffusion-weighted imaging of the breast. Clin Breast Cancer 2014;14:265-271
  20. Riffel P, Michaely HJ, Morelli JN, Pfeuffer J, Attenberger UI, Schoenberg SO, et al. Zoomed EPI-DWI of the head and neck with two-dimensional, spatially-selective radiofrequency excitation pulses. Eur Radiol 2014;24:2507-2512
  21. Peng Y, Tang H, Hu X, Shen Y, Kamel I, Li Z, et al. Rectal cancer invasiveness: whole-lesion diffusion-weighted imaging (DWI) histogram analysis by comparison of reduced field-of-view and conventional DWI techniques. Sci Rep 2019;9:18760
  22. Chen NK, Guidon A, Chang HC, Song AW. A robust multi-shot scan strategy for high-resolution diffusion weighted MRI enabled by multiplexed sensitivity-encoding (MUSE). Neuroimage 2013;72:41-47
  23. Chang HC, Chen G, Chung HW, Wu PY, Liang L, Juan CJ, et al. Multi-shot diffusion-weighted MRI with multiplexed sensitivity encoding (MUSE) in the assessment of active inflammation in Crohn's disease. J Magn Reson Imaging 2022;55:126-137
  24. Kim YY, Kim MJ, Gho SM, Seo N. Comparison of multiplexed sensitivity encoding and single-shot echo-planar imaging for diffusion-weighted imaging of the liver. Eur J Radiol 2020;132:109292
  25. Baxter GC, Patterson AJ, Woitek R, Allajbeu I, Graves MJ, Gilbert F. Improving the image quality of DWI in breast cancer: comparison of multi-shot DWI using multiplexed sensitivity encoding to conventional single-shot echo-planar imaging DWI. Br J Radiol 2021;94:20200427
  26. El Homsi M, Bates DDB, Mazaheri Y, Sosa R, Gangai N, Petkovska I. Multiplexed sensitivity-encoding diffusion-weighted imaging (MUSE) in diffusion-weighted imaging for rectal MRI: a quantitative and qualitative analysis at multiple b-values. Abdom Radiol (NY) 2023;48:448-457
  27. Bai Y, Pei Y, Liu WV, Liu W, Xie S, Wang X, et al. MRI: evaluating the application of FOCUS-MUSE diffusion-weighted imaging in the pancreas in comparison with FOCUS, MUSE, and single-shot DWIs. J Magn Reson Imaging 2023;57:1156-1171
  28. Fu Q, Kong XC, Liu DX, Zhou K, Guo YH, Lei ZQ, et al. Turbo gradient and spin echo PROPELLER-diffusion weighted imaging for orbital tumors: a comparative study with readout-segmented echo-planar imaging. Front Neurosci 2021;15:755327
  29. Mayer E, Herdman G, Burnett C, Kabala J, Goddard P, Potts MJ. Serial STIR magnetic resonance imaging correlates with clinical score of activity in thyroid disease. Eye (Lond) 2001;15(Pt 3):313-318
  30. Mayer EJ, Fox DL, Herdman G, Hsuan J, Kabala J, Goddard P, et al. Signal intensity, clinical activity and cross-sectional areas on MRI scans in thyroid eye disease. Eur J Radiol 2005;56:20-24
  31. Tortora F, Prudente M, Cirillo M, Elefante A, Belfiore MP, Romano F, et al. Diagnostic accuracy of short-time inversion recovery sequence in Graves' ophthalmopathy before and after prednisone treatment. Neuroradiology 2014;56:353-361
  32. Hu H, Chen L, Zhou J, Chen W, Chen HH, Zhang JL, et al. Multiparametric magnetic resonance imaging for differentiating active from inactive thyroid-associated ophthalmopathy: added value from magnetization transfer imaging. Eur J Radiol 2022;151:110295
  33. Patrinely JR, Osborn AG, Anderson RL, Whiting AS. Computed tomographic features of nonthyroid extraocular muscle enlargement. Ophthalmology 1989;96:1038-1047
  34. Feeney C, Lingam RK, Lee V, Rahman F, Nagendran S. Non-EPI-DWI for detection, disease monitoring, and clinical decision-making in thyroid eye disease. AJNR Am J Neuroradiol 2020;41:1466-1472
  35. Hiwatashi A, Togao O, Yamashita K, Kikuchi K, Momosaka D, Honda H. Diffusion-weighted magnetic resonance imaging of extraocular muscles in patients with Grave's ophthalmopathy using turbo field echo with diffusion-sensitized driven-equilibrium preparation. Diagn Interv Imaging 2018;99:457-463
  36. Bartalena L, Baldeschi L, Dickinson A, Eckstein A, Kendall-Taylor P, Marcocci C, et al. Consensus statement of the European Group on Graves' orbitopathy (EUGOGO) on management of GO. Eur J Endocrinol 2008;158:273-285
  37. Lingam RK, Mundada P, Lee V. Novel use of non-echo-planar diffusion weighted MRI in monitoring disease activity and treatment response in active Grave's orbitopathy: an initial observational cohort study. Orbit 2018;37:325-330
  38. Iima M, Partridge SC, Le Bihan D. Six DWI questions you always wanted to know but were afraid to ask: clinical relevance for breast diffusion MRI. Eur Radiol 2020;30:2561-2570
  39. Lee KL, Kessler DA, Dezonie S, Chishaya W, Shepherd C, Carmo B, et al. Assessment of deep learning-based reconstruction on T2-weighted and diffusion-weighted prostate MRI image quality. Eur J Radiol 2023;166:111017
  40. Abdel Razek AA, El-Hadidy M, Moawad ME, El-Metwaly N, El-Said AA. Performance of apparent diffusion coefficient of medial and lateral rectus muscles in Graves' orbitopathy. Neuroradiol J 2017;30:230-234