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Focused ultrasound-induced blood-brain barrier opening: A comparative analysis of permeability quantification based on Ktrans and PS
D. Hývlová, R. Jiřík, J. Vitouš, O. Macíček, L. Krátká, E. Dražanová, Z. Starčuk
Language English Country United States
Document type Journal Article, Comparative Study
Grant support
GA22-10953S
Grantová Agentura České Republiky
LM2023050
Ministerstvo Školství, Mládeže a Tělovýchovy
PubMed
39963048
DOI
10.1002/mrm.30446
Knihovny.cz E-resources
- MeSH
- Blood-Brain Barrier * diagnostic imaging metabolism radiation effects MeSH
- Contrast Media MeSH
- Humans MeSH
- Magnetic Resonance Imaging * methods MeSH
- Brain diagnostic imaging MeSH
- Permeability MeSH
- Computer Simulation MeSH
- Image Processing, Computer-Assisted methods MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Comparative Study MeSH
PURPOSE: Focused ultrasound-induced blood-brain barrier (BBB) opening is a promising method for neurotherapeutic delivery. The standard for quantifying induced BBB permeability is the Ktrans$$ {K}^{\mathrm{trans}} $$ parameter, which reflects both permeability and plasma flow. The influence of plasma flow can be eliminated by estimating the PS parameter. However, this parameter has been largely unexplored in this application. This study aims to compare permeability estimates based on Ktrans$$ {K}^{\mathrm{trans}} $$ and PS in focused ultrasound-induced BBB opening experiments. METHODS: We used the extended Tofts model (ETM) and the two-compartment exchange model (2CXM) to estimate Ktrans$$ {K}^{\mathrm{trans}} $$ and PS parameters, respectively. Permeability estimates were compared using simulated concentration curves, simulated DCE-MRI data, and real datasets. We explored the influence of spatially-regularized model fitting on the results. RESULTS: For opened BBB, Ktrans$$ {K}^{\mathrm{trans}} $$ was minimally influenced by plasma flow under the tested conditions. However, fitting the ETM often introduced outliers in Ktrans$$ {K}^{\mathrm{trans}} $$ estimates in regions with closed BBB. The 2CXM outperformed the ETM at high signal-to-noise ratios, but its higher complexity led to lower precision at low signal-to-noise ratios. Both these issues were successfully compensated by spatially-regularized model fitting. CONCLUSION: Both Ktrans$$ {K}^{\mathrm{trans}} $$ and PS seem to be eligible options for the quantification of BBB opening, and the correct choice depends on the specifics of the acquired DCE-MRI data. Additionally, spatial regularization has demonstrated its importance in enhancing the accuracy and reproducibility of results for both models.
Department of Pharmacology Faculty of Medicine Masaryk University Brno Czechia
Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czechia
Institute of Scientific Instruments Czech Academy of Sciences Brno Czechia
References provided by Crossref.org
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