MODERN NEUROVISUALIZATION TECHNOLOGIES IN DIAGNOSIS OF BRAIN STROKES IN PERSONS OF YOUNG AGE
Introduction. The widespread introduction of non-invasive methods of neuroimaging into the clinic allows you to quickly and safely diagnose the type and nature of cerebral stroke for the patient and determine further treatment tactics for the patient.
The aim of the study was to study the features of early ischemic manifestations in the first hours of cerebral infarction and cerebral perfusion in various types of cerebrovascular accident in young patients.
Materials and methods. A retrospective study was conducted, which included 337 patients with clinical signs of cerebral infarction, who were examined and treated at the Minsk Regional Clinical Hospital from 2013 to 2019, statistical analysis was performed using non-parametric data estimation methods.
Results. The experience of studying the early signs of cerebral ischemia in young patients with cerebral strokes, an analysis of the relationship of cerebral blood flow perfusion characteristics and the clinical characteristics of cerebral infarction in young people is presented.
Conclusions. It has been shown that in young patients with clinical signs of cerebral infarction in the acute period, instrumental methods may not detect structural changes in the brain, however, knowledge of the early radiological signs of cerebral ischemia contributes to a more accurate localization of the lesion, determination of its are, and the selection of optimal patient management tactics, including deciding on intravenous systemic thrombolytic therapy.
Vladimir V. Ponomarev1,
Vitalii B. Rimashevskii1,2, http://orcid.org/0000-0001-5460-0448
Svetlana G. Kuzmenko1,2, https://orcid.org/0000-0002-0408-9327
Sergei A. Zhivolupov3, https://orcid.org/0000-0003-0363-102X
1 Belarusian Medical Academy of Postgraduate Education, Minsk, Republic of Belarus;
2 Minsk Regional Clinical Hospital, Minsk, Republic of Belarus;
3 Military Medical Academy named S.M. Kirov, St. Saint Petersburg, Russian Federation.
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11. Srinivasan, A., Goyal M., Al Azri F., Lum C. et al. State-of-the-art imaging of acute stroke // Radiographics. 2006. Vol.26, №1. Р.75-95.
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3. Sergeev D.V., Krotenkova M.V., Piradov M.A. Mozgovoi krovotok v osterishem periode polusharnogo ishemicheskogo insul'ta: klinicheskii i KT-perfuzionnyi analiz [Brain blood flow in the acute period of hemispheric ischemic stroke: clinical and CT perfusion analysis]. Klinicheskaya nevrologiya [Clinical Neurology]. 2009, V.3. №4, pp.19-28. [in Russian].
4. Adams H.P., Bendixen B.H., Kapelle J. et al. Classification of subtype of acute ischemic stroke. Definition for use in a multicentre clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment. Stroke. 2000. Vol. 247(4). P.35-41.
5. Gao J., Parsons M.W., Kawano H., et al. Visibility of CT early ischemic change is significantly associated with time from stroke onset to baseline scan beyond the first 3 hours of stroke onset. Stroke. 2017.Vol.19. № 3. Р. 340-346.
6. Griffiths D., Sturm J. Epidemiology and Etiology of young stroke. Stroke research and treatment. 2011. Article ID 209370. 9p.
7. Marks M.P., Holmgren E.B., Fox A.J., et al. Evaluation of early computed tomographic findings in acute ischemic stroke. Stroke. 1999. Vol.30. №2. Р.389-392.
8. National Institute of Health, National Institute of Neurological Disorders and Stroke. Stroke Scale. https://www.ninds.nih.gov/sites/default/files/NIH_Stroke_Scale_Booklet.pdf
9. Pexman J.H., Barder P.F., Hill M.D. et al. Use of the Albertas Stroke Program Early CT Score (ASPECTS) for assessing CT scan in patients with acute stroke. Amer.J.Neuroradiol. 2001. Vol. 22(8). P.1534-1542.
10. Putaala J., Metso A.J., Metso T.M. et al. Analysis of 1008 consecutive patients aged 15 to 49 with first-ever ischemic stroke. The Helsinki young stroke registry. Stroke. 2009.Vol.40, № 4. Р. 1195–1203.
11. Srinivasan, A., Goyal M., Al Azri F., Lum C. et al. State-of-the-art imaging of acute stroke. Radiographics. 2006. Vol.26, №1. Р.75-95.
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Bibliography link
Ponomarev V.V., Rimashevskii V.B., Kuzmenko S.G., Zhivolupov S.A. Modern neurovisualization technologies in diagnosis of brain strokes in persons of young age // Nauka i Zdravookhranenie [Science & Healthcare]. 2020, (Vol.22) 2, pp. 72-78. doi 10.34689/SH.2020.22.2.008Related publications:
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