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QUANTITATIVE PROCESSING OF T2-WEIGHTED CEREBRAL MRI CONCOMITANT WITH THIN-SLICE CORTEX MEASUREMENTS IN PATIENTS WITH SEVERE CAROTID ATHEROSCLEROSIS FOR PROGNOSIS OF CEREBRAL COMPLICATIONS AFTER INVASIVE CARDIOVASCULAR INTERVENTIONS

https://doi.org/10.22328/2079-5343-2018-4-48-56

Abstract

Fim of the study. We attempted to select a complex of signs for prognosis of early post-intervention stroke in patients referred for extensive invasive cardiovascular surgery or intravascular procedures, from the data of routine MRI of the brain.

Material and methods. Basing on the histories of 540 patients underwent non-carotid cadiosurgical or invasive intravascular procedures we selected ten in whom the post-operation early stroke was diagnosed and who also underwent pre-surgically the MRI study of the brain. The control comparative group comprised twelve persons in whom no post-intervention stroke was observed and also pre-intervention MRI was present. At the admission before surgery or intervention in everybody the T2-weighted MRI has been carried out in T2-weighted and T1-weighted thin slice (1,5– 3 mm) modes with subsequent quantification of cerebral ischemic preconditioning from quantitatification of T2-w. Imaged and with measurement of cortex’thickness.

Results. In patients of both post-surgical stroke and control groups the coexistance of critical carotid stenosis or carotid occlusion with contralateral subcritical or mild/minimal contralateral carotid stenosis was detected. The post-operation ishemic stroke was detected in those persons obly, in whom pre-surgically the region of ishaemic leucodystrophy (unilateral leucoarayosis) was detected as signal-enhanced region on T2-weighted MRI scans on the side of carotid occlusion/critical stenosis, simultaneously with cortical thinning on the side. The index of physical volume of the T2-w.hyperintence region was in patients in whom post-surgically the ischemic stroke occurred as high as 18–51 сm3, whereas the volume of irreversibly damaged tissue diffusely distributed over the T2-w.hyperintensive leucoarayosis area 3,9–14,7 сm3. The ratio of volumes of irreversibly damaged tissue to the physical volume of damage was 0,17–0,29. Simultaneously in these persons in the middle cerebral artery perfusion region ipsilaterally the relative thinning of the cortex was seen with no cerebral stroke in the personal history. The cortex was in these patients on the side of ICA critical stenosis/ ICA occlusion 1,7–3,1 mm, and contralaterally 2,5–3,2 mm, with asimmetry index 0,65–0,82. This syndrome of «ischemic preconditioning of the brain» seen as combination {T2-hyperintensity & cortical dystrophy} was also detected in hree patients in whom the ishaemic stroke after cardiovascular surgery did not occur, and all these persons were treated befor the operation with high — up to 750 mg daily — doses ethylmethyl hydroxypiridine succinate (mexidol). The sensitivity of MRI syndrome {T2-hyperintensity & cortical dystrophy} in prognosis of post-operation ischemic stroke was as high as 100%, whereas specificity 75%, and diagnostic accuracy 86%.

Conclusion. Thus, the detection of extensive unilateral area of T2-hyperintensity in the internal carotid artery region (unilateral leucoarayosis) concomitant with thinning of cortex in the region, on the side of occlusion or critical stenosis of internal carotid artery can be accepted as factor of high risk of ishemic stroke early after extensive vascular surgery or intervention. It is necessary to carry out the MRI study of the brain in every patient before and after extensive cardiovascular intervention, for scoring of stroke risk early after procedure. 

About the Authors

W. Yu. Ussov
Research Institute of Cardiology, Tomsk National Medical Research Center of the Russian Academy of Sciences; National Research Tomsk Polytechnic University
Russian Federation
Tomsk


S. P. Yaroshevsky
Research Institute of Cardiology, Tomsk National Medical Research Center of the Russian Academy of Sciences
Russian Federation
Tomsk


A. M. Tlyuniaeva
Research Institute of Cardiology, Tomsk National Medical Research Center of the Russian Academy of Sciences
Russian Federation
Tomsk


A. S. Maksimova
Research Institute of Cardiology, Tomsk National Medical Research Center of the Russian Academy of Sciences
Russian Federation
Tomsk


L. N. Alekseeva
Tomsk Regional clinical hospital
Russian Federation
Tomsk


A. E. Suhareva
Research Institute of Cardiology, Tomsk National Medical Research Center of the Russian Academy of Sciences
Russian Federation
Tomsk


References

1. Filimonova P.A., Volkova L.I., Alasheev A.M., Grichuk E.A. Intra-clinical stroke in cardiac surgery patients. Annaly klinicheskoj i eksperimentalnoy nevrologii, 2017, No. 11 (1), рр. 28–33 (In Russ.).

2. Cropsey C., Kennedy J., Han J., Pandharipande P. Cognitive Dysfunction, Delirium, and Stroke in Cardiac Surgery Patients // Semin. Cardiothorac. Vasc. Anesth. 2015. Vol. 19 (4). Р. 309–317. Doi: 10.1177/1089253215570062.

3. Tsygan N.V., Odinak M.M., Khubulava G.G., Tsygan V.N., Peleshok A.S., Andreev R.V. Kurasov E.S., Litvinenko I.V. Post-surgery cerebral dysfunction. Zhurnal Nevrologii I psykhiatrii im S. S. Korsakova, 2017, No. 117 (4), рр. 34–39 (In Russ.).

4. Bondareva I.N. Influence of factors of individually high risk of metabolic and ishaemic damage on the clinical course of arterial hypertension, associated with the type 2 diabetes mellitus, and the possibilities of medicamentous correction of these. Dissertation for Candidate Scientiae Medicinae degree. Tomsk, 2007, 157 p. (In Russ.).

5. Yu X., Wang G., Zhan J., Feng T., Xu J. Risk factors of pure leukoaraiosis and the association with preclinical carotid atherosclerosis // Atherosclerosis. 2018. Vol. 275. Р. 328–332. doi: 10.1016/j.atherosclerosis.2018.06.869.

6. Makarov N.S., Muravleva E.A., Spiridonova S.V., Druzhinina O.A. Zuev V.V. Cerebral autosomic-dominant arteriopathe with subcortical infarctions and leucoencephalopathy (cadasyl). Nevrologi che s kiy zhurnal, 2014, No. 19 (6), рр. 4–8 (In Russ.).

7. Trofimova T.N. Neuroradiology: evaluation of efficiency of surgical and combined therapy of gliomas. Practicheskaya onkologiya, 2016, No. 17 (1), рр. 32–40 (In Russ.).

8. Magonov E.P., Trofimova T.N. Structural brain changes in the early stages of HIV // ВИЧ-инфекция и иммуносупрессии. 2016. № 8 (2). С. 108–109. [Magonov E.P., Trofimova T.N. Structural brain changes in the early stages of HIV. HIV-infection and immunosupression, 2016, No. 8 (2), рр. 108–109. (In Russ.)].

9. Gromova E.A., Bogdan A.A., Kataeva G.V., Kotomin I.A., Khomenko Yu.G., Korotkov A.D., Trofimova T.N., Rassokhin V.V., Belyakov N.A. Features of functional state of brain structures in HIV-infected patients. Luchevaya diagnostika i terapiya, 2016, No. 1 (7), рр. 41–48. (In Russ.).

10. Sinitsyn V.E., Gridin V.N., Perepolova E.M., Perepelov V.A. Role of methods of quantitative analysis of the MRI data in the diagnosis of Altzheimer disease in early stages of the disease. Vestnik rentgrnologii I radiologii, 2017, No. 98 (5), рр. 269–274. (In Russ.).

11. Sevelyev S.V. Cerebral sorting. Moscow: Izdatel’stvo Vedi, 2016, 232 p. (In Russ.).

12. Ussov W.Yu., Yaroshevsky S.P., Sinitsyn V.E., Plotnikov M.P., Zavadovskaya V.D. Quantification of volume of tissue damage in brain stroke using T2-weighted MRI images. Meditsinskaya radiologiya i radiatzionnaya besopasnost, 1999, No. 4, рр. 22–28 (In Russ.).

13. Trofimova T.N., Panfilenko A.D., Radiology in values: Saint Petersburg-2016. Luchevaya diagnostika i terapiya. 2017. No. 8 (4), рр. 75–76 (In Russ.).

14. Magonov E.P., Kataeva G.V., Trofimova T.N. Current methods of authomatic calculation of the volume of intracradial spaces at MRI — morphmetric studies of the brain. Vestnik Novgorodskogo gosudarstvennogo universiteta im. Yaroslava Mudrogo, 2015, No. 2 (85), рр. 98–104 (In Russ.).

15. Fralenko V.P., Khachumov M.V., Shustova M.V. Analysis of software instrumentation tools for the processing and visualization of biomedical data of magnetic resonance tomography. Vestnik novyh meditsynskih technologii, 2016, No. 23 (4), рр. 307–315 (In Russ.).

16. Lukyanenok P.I. Low-field MRI in patients with magnetic resonance tomography: dissertation for doctor scientiae medicinae degree. Tomsk, 2013, 352 р. (In Russ.).

17. Lukyanenok P.I., Alifirova V.M., Orlova Yu.Yu., Sukhareva A.E., Zhukova I.A., Shelkovnikova T.A., Ussov W.Yu. MRI of the brain I the dynamic follow-up of the treatment of patients with sclerosis multiplex. Sibirsky Meditsynskiy zhurnal. (Tomsk), 2015, No. 30 (3), рр. 53–57 (In Russ.).

18. Dudko V.A., Karpov R.S. Atherosclerosis of cerebral and coronary vessels. Tomsk: Izdatel’stvo STT, 2002. (In Russ.).

19. Lipovetsky B.M., Kataeva G.V. Differentiated evaluation of regional cerebral perfusion in patients with cerebrovascular disease in comparison to the future follow-up. Meditsynskaya visualizatsiya. 2012, No. 4, рр. 91–95. (Russ.).

20. Efimova N.Yu., Chernov V.I., Efimova I.Yu., Lishmanov Yu.B. Kognitive dysfunction in metabolic syndrome. Tomsk: Izdatel’stvo CTT, 2013. 116 р. (In Russ.).

21. Khazanov V.A. Phramacologic regulations of energetic metabolism. Eksperimentalnaya I klinicheskaya farmacologiya, 2009, No. 72 (4), рр. 61–64 (In Russ.).


Review

For citations:


Ussov W.Yu., Yaroshevsky S.P., Tlyuniaeva A.M., Maksimova A.S., Alekseeva L.N., Suhareva A.E. QUANTITATIVE PROCESSING OF T2-WEIGHTED CEREBRAL MRI CONCOMITANT WITH THIN-SLICE CORTEX MEASUREMENTS IN PATIENTS WITH SEVERE CAROTID ATHEROSCLEROSIS FOR PROGNOSIS OF CEREBRAL COMPLICATIONS AFTER INVASIVE CARDIOVASCULAR INTERVENTIONS. Diagnostic radiology and radiotherapy. 2018;(4):48-56. (In Russ.) https://doi.org/10.22328/2079-5343-2018-4-48-56

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