Neuroimaging patterns of chronic cerebrovascular insufficiency with evaluation of cerebral perfusion depending on the level of cognitive disorders
https://doi.org/10.24835/1607-0763-2020-3-114-122
Abstract
Aim. To evaluate the neuroimaging patterns of chronic cerebrovascular insufficiency with cerebral perfusion assessment depending on the level of cognitive impairment.
Materials and methods. The 58 patients aged 50–79 years were examined: 45 patients with a diagnosis of сhronic cerebrovascular insufficiency and 13 conditionally healthy volunteers. Patients with Chronic cerebrovascular insufficiency were ranked into three subgroups depending on the severity of cognitive impartment (CI). T1-, T2, T2*- VI, DWI, FLAIR and non-contrast MR perfusion (ASL) were included in the MR-protocol (Toshiba Vantage Titan, 1.5 T). The analysis of MRM patterns of Chronic cerebrovascular insufficiency was carried out according to STRIVE criteria. The total cerebral blood flow and regional in the frontal and parietal lobes were evaluated by the ASLperfusion.
Results. A relationship was found between the degree of leukoaraiosis, the type of expansion of the perivascular spaces of Virchow-Robin and the level of CI. According to ASL, total cerebral blood flow is higher in groups without CI and in patients with severe CI. There is a diffuse decrease of cerebral perfusion in patients with mild CI. This phenomenon is explained by initial impairment of the blood-brain barrier permeability, damage to the microvasculature. Relative hyperperfusion in the cortex of the frontal and parietal lobes of patients with dementia indicates the ineffectiveness of increased cortical blood flow and the resulting shunt blood flow due to the high resistance of the altered small cerebral vessels under high pulsating properties of the main arteries.
Conclusion. ASL perfusion is a complementary link to the STRIVE criteria in the diagnosis of chronic cerebrovascular insufficiency. The absence of changes in cerebral perfusion in patients with subjective manifestations of chronic cerebrovascular insufficiency makes it advisable to search for new methods for the diagnosis of preclinical stages of vascular cognitive impairment.
About the Authors
E. S. ChukhontsevaRussian Federation
Ekaterina S. Chukhontseva – researcher at the Research Center
28, Krupskoy str., Smolensk, 214019, Russian Federation
T. G. Morozova
Russian Federation
Tatyana G. Morozova – Doсt. of Sсi. (Med.), Head of the Department of Radiation Diagnostics and Radiation Therapy, Senior Researcher of the Problem Research Laboratory ”Diagnostic Research and Minimally Invasive Technologies”
28, Krupskoy str., Smolensk, 214019, Russian Federation
A. V. Borsukov
Russian Federation
Aleksei V. Borsukov – Doсt. of Sсi. (Med.), Professor, Director of the Problem Research Laboratory “Diagnostic Research and Minimally Invasive Technologies”
28, Krupskoy str., Smolensk, 214019, Russian Federation
References
1. Gudkova V.V., Stakhovskaya L.V. Chronic insufficiency of brain blood circulation. Spravochnik poliklinicheskogo vracha. 2004; 5: 47–51. (In Russian)
2. Hachinski V. Vascular dementia: a radical redefinition. Dementia and Geriatric Cognitive Disorders. 1994; 5 (3–4):130–132. https://doi.org/10.1159/000106709
3. Hershey L.A., Olszewski W.A. Ischemic vascular dementia. In: Handbook of Demented Illnesses. Ed. J.C. Morris. New York etc.: Marcel Dekker, Inc., 1994: 335–351.
4. Yakhno N.N., Levin O.S., Damulin I.V. Comparison of clinical and MRI findings in dyscirculatory encephalopathy. Message 1: motor impairments. The Neurological Journal. 2001; 6 (2): 10–16. (In Russian)
5. Yakhno N.N., Levin O.S., Damulin I.V. Comparison of clinical and MRI findings in dyscirculatory encephalopathy. Message 2: Cognitive impairments. The Neurological Journal. 2001; 6 (3): 10–19. (In Russian)
6. Shi Y., Wardlw J.M. Update on cerebral small vessel disease: a dynamic whole-brain disease. Br. Med. J. 2016; 1 (3): 83–92. https://doi.org/10.1136/svn-2016-000035
7. Pantoni L. Cerebral small vessel disease: from pathogenesis and clinical characteristics to therapeutic challenges. The Lancet Neurology. 2010; 9 (7): 689–701. https://doi.org/10.1016/s1474-4422(10)70104-6
8. Reed B.R., Mungas D.M., Kramer J.H., Ellis W., Vinters H.V., Zarow C., Jagust W.J., Chui H.C. Profiles of neuropsychological impairment in autopsy-defined Alzheimer's disease and cerebrovascular disease. Brain. 2007; 130 (3): 731–739. https://doi.org/10.1093/brain/awl385
9. Wardlaw J.M., Smith E.E., Biessels G.J. et al. Neuroimaging standards for research into small vessel disease and its contribution to ageing and neuro degeneration. The Lancet Neurology. 2013; 12: 822–838. https://doi.org/10.1016/s1474-4422(13)70124-8
10. Detre J.A., Wang J., Wang Z., Rao H. Arterial spin-labeled perfusion MRI in basic and clinical neuroscience. Curr. Opinion Neurol. 2009; 22 (4): 348–355. https://doi.org/10.1097/wco.0b013e32832d9505
11. Sergeeva A.N., Dobryinina L.A., Gadgieva Z.Sh., Zabitova M.R. et al. Cerebral blood flow measured with MRI arterial spin labeling (ASL) and neuroimaiging signs of agerelated small vessel disease. REJR. 2019; 9 (4): 8–17. https://doi.org/10.21569/2222-7415-2019-9-4-8-17. (In Russian)
12. Ye F.Q., Berman K.F., Ellmore T., Esposito G., van Horn J.D., Yang Y., Duyn J., Smith A.M., Frank J.A., Weinberger D.R., McLaughlin A.C. H(2)(15)O PET validation of steady-state arterial spin tagging cerebral blood flow measurements in humans. Magn. Reson. Med. 2000; 44: 450–456. https://doi.org/10.1002/1522-2594(200009)44:3<450::aidmrm16>3.0.co;2-0
13. Kamano H., Yoshiura T., Hiwatashi A., Abe K., Togao O., Yamashita K., Honda H. Arterial spinlabeling in patients with chronic cerebral artery steno-occlusive disease: correlation with (15)O-PET. Acta Radiol. 2013; 54: 99–106. https://doi.org/10.1258/ar.2012.120450
14. Zhang K., Herzog H., Mauler J., Filss C., Okell T.W., Kops E.R., Tellmann L., Fischer T., Brocke B., Sturm W., Coenen H.H., Shah N.J. Comparison of cerebral blood flow acquired by simultaneous [15O] water positron emission tomography and arterial spin labeling magnetic resonance imaging. J. Cerebral. Blood Flow & Metabolism. 2014; 34: 1373–1380. https://doi.org/10.1038/jcbfm.2014.92
15. Pronin I.N., Fadeeva L.M., Podoprigora A.E., Zakharova N.E., Serkov S.V., Rodionov P.V., Shults E.I., Korshunov A.E., Usachev D. Yu., Lukshin V.A., Celik A., Potapov A.A., Kornienko V.N. Arterial spin labeling (ASL): method o cerebral blood flow visualization and quantification. Luchevaya diagnostika i terapiya. 2012; 3 (3): 64–78. (In Russian)
16. Zhou Y., Rodgers Z.B., Kuo A.H. Cerebrovascular reactivity measured with arterial spin labeling and blood oxygen level dependent techniques. Magn. Resonance Imaging. 2015; 33 (5): 566–576. https://doi.org/10.1016/j.mri.2015.02.018
17. Tian B., Liu Q., Wang X., Chen S., Xu B., Zhu C., Lu J. Chronic intracranial artery stenosis: Comparison of whole-brain arterial spin labeling with CT perfusion. Clin. Imaging. 2018; 52: 252–259. https://doi.org/10.1016/j.clinimag.2018.08.005
18. Wang R., Yu S., Alger J.R., Zuo Z., Chen J., Wang R., An J., Wang B., Zhao J., Xue R., Wang D.J. Multi-delay arterial spin labeling perfusion MRI in moyamoya disease-comparison with CT perfusion imaging. Eur. Radiol. 2014; 24 (5): 1135–1144. https://doi.org/10.1007/s00330-014-3098-9
19. Chao L.L., Buckley S.T., Kornak J., Schuff N., Madison C., Yaffe K., Miller B.L., Kramer J.H., Weiner M.W. ASL perfusion MRI predicts cognitive decline and conversion from MCI to dementia. Alzheimer Dis. Assoc. Disord. 2010; 24 (1): 19–27. https://doi.org/10.1097/wad.0b013e3181b4f736
20. Du A.T., Jahng G.H., Hayasaka S., Kramer J.H., Rosen H.J., Gorno-Tempini M.L., Rankin K.P., Miller B.L., Weiner M.W., Schuff N. Hypoperfusion in frontotemporal dementia and Alzheimer disease by arterial spin labeling MRI. Neurology. 2006; 67: 1215–1220. https://doi.org/10.1212/01.wnl.0000238163.71349.78
21. Wolf R. L., Detre J.A. Clinical neuroimaging using arterial spin labeled perfusion magnetic resonance imaging. Neurotherapeutics. 2007; 4: 346–359. https://doi.org/10.1016/j.nurt.2007.04.005
22. Dobrynina L.A., Gadzhieva Z.Sh., Kalashnikova L.A., Akhmetzyanov B. M., Kremneva E. I., Krotenkova M.V., Lagoda D.Yu., Zabitova M.R., Poddubskaya A.A., Berdalin A.B. Neuropsychological profile and vascular risk factors in patients with cerebral microangiopathy. Annals of clinical and experimental neurology. 2018;4: 5–15. https://doi.org/10.25692/ACEN.2018.4.1 (In Russian)
23. Sachdev P., Kalaria R., O'Brien J., Skoog I., Alladi S., Black S.E., Blacker D., Blazer D.G., Chen C., Chui H., Ganguli M., Jellinger K., Jeste D.V., Pasquier F., Paulsen J., Prins N., Rockwood K., Roman G., Scheltens P.; Internationlal Society for Vascular Behavioral and Cognitive Disorders. Diagnostic criteria for vascular cognitive disorders: a VASCOG statement. Alzheimer Disease & Associated Disorder. 2014; 28: 206–218. https://doi.org/10.1097/wad.0000000000000034
24. Lawrence A.J., Patel B., Morris R.G., MacKinnon A.D., Rich P.M., Barrick T.R., Markus H.S. Mechanisms of cognitive impairment in cerebral small vessel disease: multimodal MRI results from the St George’s cognition and neuroimaging in stroke (SCANS) study. PloS One. 2013; 8 (4): e61014. https://doi.org/10.1371/journal.pone.0061014
25. Dai W., Lopez O.L., Carmichael O.T., Becker J.T., Kuller L.H., Gach H.M. Mild cognitive impairment and Alzheimer disease: patterns of altered cerebral blood flow at MR imaging. Radiology. 2009; 250 (3): 856–866. https://doi.org/10.1148/radiol.2503080751
26. Østergaard L., Engedal T.S., Moreton F., Hansen M.B., Wardlaw J.M., Dalkara T., Markus H.S., Muir K.W. Cerebral small vessel disease: Capillary pathways to stroke and cognitive decline. J. Cerebral. Blood Flow & Metabolism. 2016; 36 (2): 302–325. https://doi.org/10.1177/0271678x15606723
27. Rivera-Rivera L.A., Schubert T., Turski P., Johnson K.M., Berman S.E., Rowley H.A., Carlsson C.M., Johnson S.C., Wieben O. Changes in intracranial venous blood flow and pulsatility in Alzheimer’s disease: A 4D flow MRI study. J. Cerebral. Blood Flow & Metabolism. 2017; 37 (6), 2149–2158. https://doi.org/10.1177/0271678x16661340
Review
For citations:
Chukhontseva E.S., Morozova T.G., Borsukov A.V. Neuroimaging patterns of chronic cerebrovascular insufficiency with evaluation of cerebral perfusion depending on the level of cognitive disorders. Medical Visualization. 2020;24(3):114-122. (In Russ.) https://doi.org/10.24835/1607-0763-2020-3-114-122