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Ultrasound biomicroscopy in the quantification of brain perfusion parameters of a rat stroke model: Analysis of contrast agent bolus kinetic dynamics.

Authors :
Cruz ASD
Drehmer MM
Baetas-da-Cruz W
Machado JC
Source :
Journal of neuroscience methods [J Neurosci Methods] 2024 Jan 01; Vol. 401, pp. 110005. Date of Electronic Publication: 2023 Nov 04.
Publication Year :
2024

Abstract

Background: Ischemic stroke represents a significant global health concern, necessitating thorough investigations and the utilization of stroke animal models to explore novel treatment modalities and diagnostic imaging techniques.<br />New Method: Ultrasound biomicroscopy (BMU), operating at a center frequency of 21 MHz, along with ultrasound contrast agents (UCAs), was used to quantify microcirculation cerebral blood flow in a rat model of ischemic stroke. The microcirculation parameters were derived from time intensity curve (TIC) plots obtained based on UCA-bolus kinetics.<br />Results: Semiquantitative perfusion-related parameters were assessed. The TIC curves showed differences in amplitude when compared intra-animal between the left and right sides, and three situations were observed: normal perfusion, hypoperfusion, and nonperfusion. ROC analysis of delays between the left and right time intensity peak (TIP) for regions of interest (ROIs) in the control and stroke-hypoperfusion groups revealed an optimal cutpoint of 0.39 s to indicate when hypoperfusion is occurring in rats, with a sensitivity of 93.33 % and a specificity of 80 %.<br />Comparison With Existing Method(s): Ultrasound perfusion imaging through the temporal bone window has been clinically applied to stroke patients using a UCA bolus for TIC analysis. TIC parameters were correlated with MRI- and CT-based measurements.<br />Conclusions: This investigation quantified cerebral blood flow in a rat model of ischemic stroke by measuring microcirculation parameters. The study demonstrated the efficacy of this approach as a valuable tool for conducting preclinical studies.<br />Competing Interests: Declaration of Competing Interest None.<br /> (Copyright © 2023 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1872-678X
Volume :
401
Database :
MEDLINE
Journal :
Journal of neuroscience methods
Publication Type :
Academic Journal
Accession number :
37931754
Full Text :
https://doi.org/10.1016/j.jneumeth.2023.110005