Imaging features and clinical manifestations of neuromyelitis optica


With the rapid development of modern medical technology and imaging technology, neuromyelitis optica has attracted more and more attention of medical workers. However, this central nervous disease, which affects the optic nerve and spinal cord, still afflicts many people. And the recurrence rate of this disease is very high, so that many patients become disabled, it is difficult to fundamentally cure. In this paper, according to the imaging characteristics and clinical manifestations of neuromyelitis optica, we collected experimental samples and related data of neuromyelitis optica patients in the Department of Neurology of our hospital. We selected 60 patients who were diagnosed as the research object of this paper, analyzed the relevant situation of brain lesions of neuromyelitis optica, and discussed their age, gender, first symptom, and shadow imaging features and clinical manifestations. This article hopes to analyze the imaging features and clinical manifestations of neuromyelitis optica brain lesions, use clinical features with differentiating evidence to guide clinical diagnosis, and effectively reduce the probability of clinical misdiagnosis. In addition, 20 patients were randomly followed up to understand their remaining symptoms and recurrence. The results of autoantibodies associated with other autoimmune diseases are more likely to be associated with other autoimmune diseases. Brain, skin, subcutaneous, and brain injuries can be areas with multiple sclerosis characteristics different from myositis. Patients with neuromyelitis optica do not have the special phenomenon of lesions perpendicular to the lateral ventricle. The medulla oblongata, pontine, and paraventricular involvement were the most common imaging features, and were also found in the fourth ventricle, around the aqueduct, basal ganglia, and corpus callosum.

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  1. 1.

    Gakhal MS, Marcotte GV (2015) Hereditary angioedema: imaging manifestations and clinical management. Emerg Radiol 22(1):83–90

    Article  Google Scholar 

  2. 2.

    Rajapakse S (2017) Weeratunga, Praveen, Sivayoganathan, Sriharan, Fernando, Sumadhya Deepika. Clinical manifestations of scrub typhus. Trans R Soc Trop Med Hyg 111(2):43–54

    Article  Google Scholar 

  3. 3.

    Ntali G, Grossman A, Karavitaki N (2015) Clinical and biochemical manifestations of Cushing’s. Pituitary 18(2):181–187

    Article  Google Scholar 

  4. 4.

    Fang H, Gao L, Wang Y, Jin Y, Lv Y, Yao Z, Zhang J (2018) Clinical and imaging features of granular cell tumor of the neurohypophysis. Medicine 97(9):e9745

    Article  Google Scholar 

  5. 5.

    Wang Y, Wang J (2015) Clinical and imaging features in different inner border-zone infarct patterns. Int J Neurosci 125(3):208–212

    Article  Google Scholar 

  6. 6.

    Huimiao L, Dong C, Zhang Y-Z, Tian Y-Y, Chen H-X, Zhang S, Li N, Gu P (2017) Clinical and imaging features of spinal cord type of neuro Beh?et disease. Medicine 96(40):e7958

    Article  Google Scholar 

  7. 7.

    Edwards K, Tsai S-H, Kothari A (2018) Clinical and imaging features of abdominal wall endometriomas. Australasian Journal of Ultrasound in Medicine 21(1):24–28

    Article  Google Scholar 

  8. 8.

    Shaaban AM, Rezvani M, Haroun RR, Kennedy AM, Elsayes KM, Olpin JD, Salama ME, Foster BR, Menias CO (2017) Gestational trophoblastic disease: clinical and imaging features. RadioGraphics 37(2):681–700

    Article  Google Scholar 

  9. 9.

    Aydın H, Yologlu Z, Sargın H, Metin MR (2015) Parry-Romberg syndrome. Physical, clinical, and imaging features. Neurosciences 20(4):368–371

    Article  Google Scholar 

  10. 10.

    Saat R, Laulajainen-Hongisto AH, Mahmood G, Lempinen LJ, Aarnisalo AA, Markkola AT, Jero JP (2015) MR Imaging features of acute mastoiditis and their clinical relevance. Am J Neuroradiol 36(2):361–367

    Article  Google Scholar 

  11. 11.

    Ramsawak L, Whittam D, Till D, Poitelea M, Howlett DC (2016) Isolated thrombosis of the vein of Labbe – Clinical and imaging features. Journal of Acute Medicine 6(3):73–75

    Article  Google Scholar 

  12. 12.

    Gul M, Katz J, Chaudhry AA, Hannah-Shmouni F, Skarulis M, Cochran CS (2016) Rheumatologic and imaging manifestations of thyroid acropachy. Arthritis & Rheumatology 68(7):1636–1636

    Article  Google Scholar 

  13. 13.

    Fan Z, Xu F, Li C, Yao L (2020) Application of KPCA and AdaBoost algorithm in classification of functional magnetic resonance imaging of Alzheimer’s disease. Neural Comput & Applic 32:5329–5338

    Article  Google Scholar 

  14. 14.

    Morilla I (2020) A deep learning approach to evaluate intestinal fibrosis in magnetic resonance imaging models. Neural Comput & Applic 32:14865–14874

    Article  Google Scholar 

  15. 15.

    Bollemeijer JG, Wieringa WG, Missotten Tom OAR, Ina M, ten Dam-van Loon Ninette H, Aniki R, Los Leonoor I (2016) Clinical manifestations and outcome of syphilitic uveitis. Investigative Opthalmology & Visual Science 57(2):404–411

    Article  Google Scholar 

  16. 16.

    Wong VK, Lubner MG, Menias CO, Mellnick VM, Kennedy TA, Bhalla S, Pickhardt PJ (2017) Clinical and imaging features of noncutaneous melanoma. Am J Roentgenol 208(5):942–959

    Article  Google Scholar 

  17. 17.

    Acharya UR, Meiburger KM, Koh JEW, Hagiwara Y, Oh SL, Leong SS, Ciaccio EJ, Wong JHD, Shah MNM, Molinari F, Ng KH (2020) Automated detection of chronic kidney disease using higher-order features and elongated quinary patterns from B-mode ultrasound images. Neural Comput & Applic 32:11163–11172

    Article  Google Scholar 

  18. 18.

    Yong HS, Ha KG (2016) Clinical manifestations of laryngopharyngeal reflux. Journal of Neurogastroenterology and Motility 22(3):351–352

    Article  Google Scholar 

  19. 19.

    Yang I, Ung N, Chung LK, Nagasawa DT, Thill K, Park J, Tenn S (2015) Clinical manifestations of central neurocytoma. Neurosurg Clin N Am 26(1):5–10

    Article  Google Scholar 

  20. 20.

    Escalon JG, Lynch DA (2018) Imaging features of sarcoidosis. QJM: An International Journal of Medicine 111(9):649–651

    Article  Google Scholar 

  21. 21.

    Pawha PS, Chokshi FH (2016) Imaging of spinal manifestations of hematological disorders. Hematology/Oncology Clinics of North America 30(4):921–944

    Article  Google Scholar 

  22. 22.

    Hora R (2016) Kapoor, Payal, Thind, Kirandeep Kaur, Mishra, Prakash Chandra.Cerebral malaria – clinical manifestations and pathogenesis. Metab Brain Dis 31(2):225–237

    Article  Google Scholar 

  23. 23.

    Lamberti A, Miracco C, Scaramuzzino F, Cinotti E, Rubegni P, Fimiani M (2018) Rare clinical manifestations of leukemia cutis. J Cutan Pathol 45(10):799–801

    Article  Google Scholar 

  24. 24.

    Wang X, Li X, Chen X, Cao C (2020) Diagnosis model of pancreatic cancer based on fusion of distribution estimation algorithm and genetic algorithm. Neural Comput & Applic 32:5425–5434

    Article  Google Scholar 

  25. 25.

    Lawal M, Omobayo H, Lawal K (2018) Epilepsy: pathophysiology, clinical manifestations and treatment options. Br J Neurosci Nurs 14(2):58–72

    Article  Google Scholar 

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Correspondence to Jundong Li.

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Li, J., Guo, J. & Zhao, X. Imaging features and clinical manifestations of neuromyelitis optica. Pers Ubiquit Comput (2021).

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  • Neuromyelitis optica
  • Brain lesions
  • Imaging features
  • Clinical manifestations
  • Detection of anti AQP4 antibody