ISSN Print 2500–1094
ISSN Online 2542–1204
BIOMEDICAL JOURNAL OF PIROGOV UNIVERSITY (MOSCOW, RUSSIA)
Copyright: © 2019 by the authors. Licensee: Pirogov University.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (CC BY).
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (CC BY).
ORIGINAL RESEARCH
Associations between blood and cerebrospinal fluid flow impairments assessed with phase-contrast MRI and brain damage in patients with age-related cerebral small vessel disease
About authors
1 Research Center of Neurology, Moscow, Russia
2 PET-Technology LLC, Ufa, Russia
Correspondence should be addressed: Elena I. Kremneva
Volokolamskoe shosse 80, Moscow, 125367; ur.ygoloruen@avenmerk
About paper
Funding: this work was part of the state assignment for Research Center of Neurology.
Author contribution: Kremneva EI — methodology of the study, data analysis and interpretation, manuscript preparation; Akhmetzyanov BM — data acquisition, statistical processing and interpretation; Dobrynina LA — conception and methodology of the study, data interpretation, clinical data analysis and acquisition; Krotenkova MV — study supervision and methodology, data interpretation.
Received: 2019-07-28
Accepted: 2019-08-12
Published online: 2019-08-25
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Fig. 1. An algorithm used to assess MRI features of SVD. PWM — periventricular white matter; DWM — deep white matter; JCWM — juxtacortical white matter [10];
PS — perivascular space; VBC — ventricle to brain coefficient; GCA — global cortical atrophy [11]
Fig. 2. A schematic representation of the PC-MRI procedure. A. Blood flow in the internal carotid and vertebral arteries. B. Blood flow in the straight and sagittal sinuses. C. CSF flow at the cerebral aqueduct level
Fig. 3. Comparison of the tABF rate and Pi between the patients with WMH assessed using the Fazekas scale and the controls (A and B, respectively), between the groups of patients with different number of lacunes and without lacunes in the white matter (C, D) and subcortical structures (E, F)
Fig. 4. Comparison of venous blood flow parameters between the controls and the patients with lacunes (A–D) and WMH assessed using the Fazekas scale (E–F)
Fig. 5. Comparison of CSF flow parameters and the intracranial compliance index between the controls and the patients with WMH measured on the Fazekas scale
(A–C) and lacunes (D–E)
Table 1. MRI findings in patients with SVD. WMH — white matter hyperintensities; MB — cerebral microbleeds; PVS — perivascular spaces; WM — white matter
