The Role of MRI in Establishing The Optic Nerve in The Orbita Literature Review Study
DOI:
https://doi.org/10.62383/ikg.v1i2.249Keywords:
MRI, Optic Neuritis, Optic Nerve Disorders, Diagnosis, Multiple SclerosisAbstract
Diagnosing optic nerve disorders in the orbit is a clinical challenge that requires sophisticated imaging technology. MRI has become one of the main diagnostic tools in identifying various optic nerve pathologies, such as Optic Neuritis, Multiple Sclerosis, and tumors. However, it is important to understand in more depth how MRI can play an effective role in this diagnosis process. This study aims to explore the role of MRI in diagnosing optic nerve disorders in the orbit, specifically focusing on Optic Neuritis. This research uses a Literature Review Study approach by collecting data from various sources, including Pubmed, Google Scholar, and online repositories. Relevant data was selected based on established inclusion criteria, and then analyzed to understand the contribution of MRI in the process of diagnosing optic nerve disorders. The results of the study show that the use of ADC values has proven effective in diagnosing Multiple Sclerosis of the optic nerve, while the diagnosis of Optic Neuritis can be made without the use of contrast media with high sensitivity. Imaging techniques with diffusion weighting, fat saturation, and phase oversampling have also been proven to improve the quality of Orbital MRI images by reducing artifacts. It is also recommended to use slice thicknesses of 1 mm, 2 mm, and 3 mm to optimally display small anatomy and pathology. The rFOV-EPI imaging technique is recommended because it can provide high spatial resolution. Thus, through the application of the various MRI imaging techniques and parameters mentioned above, a more accurate and detailed diagnosis can be made regarding the pathological condition of the optic nerve in the orbit. This research makes an important contribution to our understanding of the role of MRI in the diagnosis and management of optic nerve disorders, as well as providing practical guidance for medical practitioners in the clinical use of this technology.References
Abel, A., Mc Clelland, C., & Lee, M. S. (2019). Critical review: Typical and atypical Optic Neuritis. Surv. Ophthalmol., 64 (6), 770–779. doi: 10. 1016/h. survophthal. 2019. 06. 001
Batur, M., et al. (2018). Ultrasonic elastography evaluation in Optic Neuritis. Semin. Ophthalmol., 33 (2), 237–241. doi: 10. 1080/08820538. 2016. 1208765
Bennett, B. J. L. (2019). Optic Neuritis. Lancet, 210 (5440), 1193–1194. doi: 10. 1016/S0140- 6736(01)35140-1
And T., Dixon, T. S. E., Examination, P., Lumbar, M. R. I., Media, P., & Prasetyo, A. D. (2016). Differences of anatomical image information between T1 TSE Fatsat and T1 TSE Dixon sequences in sagittal plane post-contrast media of lumbar MRI examination Fatimah: Optimization of F. Journal of Fatimah, 1 (1), 1–8.
Fatima, S., Triningrat, A., Kusumadjaja, I. M. A., & et al. (2021). Characteristics of Optic Neuritis patients at Sanglah Central General Hospital (RSUP) for the period 1 January-31 December 2018. E-Journal Med., 10 (4), 2–7. [On line]. Available: https://ojs.unud.AC.id/index.php/eum/article/download/77458/41188
Francisco, P., & Lorena, G. -V. (2015). Diagnosis approach of Optic Neuritis. J. Neurol.
Neurophysiol., 06 (06). doi: 10. 4172/2155-9562. 1000345
Hande, P., & Talwar, I. (2012). Multimodality imaging of the orbit. Indian J. Radiol. Imaging, 22 (3), 227–239. doi: 10. 4103/0971-3026. 107184
Hidayat, M. (2018). Clinical profile of bilateral Optic Neuritis. J. Health. Andalas, 7 (Supplement 1), 29. doi: 10. 25077/jka. v7i0. 767
Ishikawa, H., et al. (2019). Epidemiologic and clinical characteristics of Optic Neuritis in Japan.
Ophthalmology, 126 (10), 1385–1398. doi: 10. 1016/h. ophtha. 2019. 04. 042
Lefevre, N., Naouri, J. F., Herman, S., Gerometta, A., Klouche, S., & Bohu, Y. (2016). A current review of the meniscus imaging: Proposition of a useful tool for its radiological analysis.
Radiol. Res. Pract., 2016, 1–25. doi: 10. 1155/2016/8329296
Maulana, M. (2019). Department of eye health, Faculty of Medicine, Padjadjaran University, national eye center, Cicendo Eye Hospital, Bandung.
Nayak, B., Desai, S., & Maheshwari, S. (2016). Interpretation of Magnetic Resonance Imaging of the orbit: Simplified for ophthalmologists (Part I). J. Clin. Ophthalmol. Res., 1 (1), 29. doi: 10. 4103/2320-3897. 106283
Nordbeck, P., Ertl, G., & Ritter, O. (2015). Magnetic Resonance Imaging safety in pacemaker and implantable cardioverter defibrillator patients: How far have we come? Eur. Heart J., 36 (24), 1505–1511. doi: 10. 1093/eurheartj/ehv086
Park, S. M., & Kim, U. S. (2023). Clinical characteristics depending on Magnetic Resonance Imaging patterns in idiopathic isolated Optic Neuritis. Sci. Rep., 13 (1), 1–5. doi: 10. 1038/s41598-023-28904-6
Westbrook, C. (2014). Handbook of MRI techniques.
Yudiasari, A., & Kartika, P. S. (2021). Characteristics of patients with recurrent optic neuritis.
Catherine, & Talbot, J. (2019). MRI in practice (5th ed.).
S. M. G. III, & Bhatti, M. T. (2018). Orbital anatomy, 58 (2), 5–23.
Dale, P. S., Tosto, M. G., Hayiou-Thomas, M. E., & Plomin, R. (2015). Why does parental language input style predict child language development? A twin study of gene-environment correlation. J. Commun. Disord., 57, 106–117. doi: 10. 1016/h. jcomdis.
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