Evaluation of optic nerve by histogram analysis on MRI in patients with isolated optic neuritis

Evaluation of optic nerve by histogram analysis on MRI in patients with isolated optic neuritis

Objectives: We aimed to evaluate the Magnetic Resonance Imaging (MRI) histogram texture analyzis of the optic nerve by comparing patients of isolated optic neuritis with a healthy control group and to provide objective information without using contrast in the diagnosis of the disease. Methods: A total of 40 patients, including 20 patients with isolated optic neuritis (13 females, 7 males) and 20 healthy controls (11 females, 9 males), were included in the study. Non-contrast brain MR images of the patient and control groups were analyzed retrospectively. In the coronal T2-weighted MRI sequence of both groups, the Region of Interest (ROI) was placed in the extraocular anterior 1/3 of the optic nerve of both eyes. Numerical data were obtained using histogram analysis and the data were evaluated in the MATLAB program. The data were compared statistically. In addition, sensitivity and specificity were determined by Receiver Operating Characteristic (ROC) curve analysis. Results: As a result of histogram analysis, a significant difference was found between the mean values in the healthy and affected eye of the patients with isolated optic neuritis and the mean values of the control group (p < 0.05). A significant difference was found in standard deviation, minimum, maximum, median, variance values between both groups. ROC analysis was performed for mean value, AUC = 0.943 and when threshold value was selected as 354.258 Haunsfield Unit, two groups could be differentiated with 84.2% of sensitivity and 92.1% of specificity. We can say that patients with isolated optic neuritis also have histological effects on the clinically asymptomatic eye. Conclusions: Histogram analysis can be used in the diagnosis of the patients with isolated optic neuritis without the need to use contrast in their MRI. In addition, histological effect can be detected in the eye that does not show clinical symptoms with histogram analysis.

___

  • 1. Kanda T, Miyazaki A, Zeng F, Ueno Y, Sofue K, Maeda T, et al. Magnetic resonance imaging of intraocular optic nerve disorders: review article. Pol J Radiol 2020;85:e67-81.
  • 2. Dooley MC, Foroozan R. Optic neuritis. J Ophthalmic Vis Res 2010;5:182-7.
  • 3. Hoorbakht H, Bagherkashi F. Optic neuritis, its differential diagnosis and management. Open Ophthalmol J 2012;6:65-72.
  • 4. Bennett JL. Optic Neuritis. Continuum (Minneap Minn) 2019;25:1236-64.
  • 5. Petzold A, Wattjes MP, Costello F, Flores-Rivera J, Fraser CL, Fujihara K, et al. The investigation of acute optic neuritis: a review and proposed protocol. Nat Rev Neurol 2014;10:447-58.
  • 6. Castellano G, Bonilha L, Li LM, Cendes F. Texture analysis of medical images. Clin Radiol 2004;59:1061-9.
  • 7. Jian ZC, Long JF, Liu YJ, Hu XD, Liu JB, Shi XQ, et al. Diagnostic value of two dimensional shear wave elastography combined with texture analysis in early liver fibrosis. World J Clin Cases 2019;7:1122-32.
  • 8. Kwon MR, Shin JH, Hahn SY, Oh YL, Kwak JY, Lee E, et al. Histogram analysis of grey scale sonograms to differentiate between the subtypes of follicular variant of papillary thyroid cancer. Clin Radiol 2018;73:591.e1-591.e7.
  • 9. Chitalia RD, Kontos D. Role of texture analysis in breast MRI as a cancer biomarker: a review. J Magn Reson Imaging 2019;49:927-38.
  • 10. Cauley KA, Fielden SW. A Radiodensity histogram study of the brain in multiple sclerosis. Tomography 2018;4:194-203.
  • 11. Chabat F, Yang GZ, Hansell DM. Obstructive lung diseases: texture classification for differentiation at CT. Radiology 2003;228:871-7.
  • 12. Dogan A, Baykara M. The evaluation of the optic nerve in multiple sclerosis using MRI histogram analysis. Ann Med Res 2020;27:780-3.
  • 13. Lubner MG, Smith AD, Sandrasegaran K, Sahani DV, Pickhardt PJ. CT texture analysis: definitions, applications, biologic correlates, and challenges. Radiographics 2017;37:1483-503.
  • 14. Zhang S, Chiang GC, Magge RS, Fine HA, Ramakrishna R, Chang EW, et al. Texture analysis on conventional MRI images accurately predicts early malignant transformation of low-grade gliomas. Eur Radiol 2019;29:2751-9.
  • 15. Razik A, Goyal A, Sharma R, Kandasamy D, Seth A, Das P, et al. MR texture analysis in differentiating renal cell carcinoma from lipid-poor angiomyolipoma and oncocytoma. Br J Radiol. 2020;93:20200569.
  • 16. Shin HJ, Kwak JY, Lee E, Lee MJ, Yoon H, Han K, et al. Texture analysis to differentiate malignant renal tumors in children using gray-scale ultrasonography images. Ultrasound Med Biol 2019;45:2205-12.
  • 17. Kassner A, Thornhill RE. Texture analysis: a review of neurologic MR imaging applications. Am J Neuroradio 2010;31:809-16.
  • 18. Liu HJ, Zhou HF, Zong LX, Liu MQ, Wei SH, Chen ZY. MRI histogram texture feature analysis of the optic nerve in the patients with optic neuritis. Chin Med Sci J 2019;34:18-23.
  • 19. Rizzo JF, III, Lessell S. Risk of developing multiple sclerosis after uncomplicated optic neuritis: a long-term prospective study. Neurology 1988;38:185-90.
  • 20. Francis DA, Compston DA, Batchelor JR, McDonald WI. A reassessment of the risk of multiple sclerosis developing in patients with optic neuritis after extended follow-up. J Neurol Neurosurg Psychiatry 1987;50:758-65.
  • 21. Leocani L, Guerrieri S, Comi G. Visual evoked potentials as a biomarker in multiple sclerosis and associated optic neuritis. J Neuroophthalmol 2018;38:350-7.
  • 22. Chen Z, Lou X, Liu M, Huang D, Wei S, Yu S, et al. Assessment of optic nerve impirment in patients with neuromyelitis optica by MR diffusion tensor imaging. PLoS One 2015;10:e0126574.
The European Research Journal-Cover
  • ISSN: 2149-3189
  • Yayın Aralığı: Yılda 6 Sayı
  • Başlangıç: 2015
  • Yayıncı: Prusa Medikal Yayıncılık Limited Şirketi
Sayıdaki Diğer Makaleler

Mothers' perspective on human papillomavirus vaccine in Eastern Turkey

Ülkü Ayşe TÜRKER ARAS, Samet KIRAT, Ozge YENDUR, Ayşe Ender YUMRU

The relationship of pain severity with anxiety, depression, somatic symptoms, personality, and alexithymia in the early period after total knee arthroplasty

Çetin TURAN, Abdullah KÜÇÜKALP

Routine postoperative nasogastric or nasojejunal tube placement may be unnecessary after gastric resection

Ali ALEMDAR, Metin YEŞİLTAŞ

Evaluation of optic nerve by histogram analysis on MRI in patients with isolated optic neuritis

Seda Nida KARAKÜÇÜK, Adil DOĞAN, Murat BAYKARA, Selma URFALIOGLU

Pulmonary and cardiac involvement in patients with rheumatoid arthritis and ankylosing spondylitis

Ahmet Hüsrev TEKELİ

Effect of caffeine supplementation during treadmill exercise on hippocampal genes expression levels in adolescent rats

Fatma BAKIR, Özge Selin ÇEVİK, Seval MÜSÜROĞLU KELOĞLAN, Leyla ŞAHİN

Analgesic efficacy and safety of epidural and paravertebral blocks in thoracotomy surgery

Tuğba ONUR, Asiye DEMİREL, Anıl ONUR, Seyda Efsun OZGUNAY, Ümran KARACA, Mesut ENGİN

The role of diffusion-weighted imaging in the diagnosis of early kidney damage

Şeyhmus KAVAK

The role of stress coping styles in the relationship between separation individualization and sexual self-schema

Kahraman GÜLER, Haydeh FARAJİ, Gözde ARSLAN

Ameliorative effects of apigenin on a rat model of endometriosis

Gulam HEKİMOĞLU, Sümeyye KOÇ, Ali İmran DAŞTAN, Kübra ŞEVGİN, Muhammetnur TEKAYEV, Eray Metin GÜLER, Neslihan SAYİR, Halime Tuba CANBAZ, Fatih HACIMUSTAFAOĞLU, Halime Hanim PENCE, Tansel SAPMAZ, Ebru KALE