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  • The effects of normobaric and hyperbaric oxygenation on MRI signal intensities in T1-weighted, T2-weighted and FLAIR images in human brain
    Velej, Vida ; Cankar, Ksenija, 1965- ; Vidmar, Jernej, 1979-
    Dissolved oxygen has known paramagnetic effects in magnetic resonance imaging (MRI). The aim ofthis study was to compare the effects of normobaric oxygenation (NBO) and hyperbaric oxygenation (HBO) ... on hu-man brain MRI signal intensities.Patients and methods. Baseline brain MRI was performed in 17 healthy subjects (mean age 27.8 ± 3.2). MRI wasrepeated after exposure to the NBO and HBO at different time points (0 min, 25 min, 50 min). Signal intensities in T1-weighted, T2-weighted images and fluid attenuated inversion recovery (FLAIR) signal intensities of several intracranialstructures were compared between NBO and HBO.Results. Increased T1-weighted signal intensities were observed in white and deep grey brain matter, cerebrospinalfluid (CSF), venous blood and vitreous body after exposure to NBO as well as to HBO compared to baseline (Dunnett’stest, p < 0.05) without significant differences between both protocols. There was also no significant difference in T2-weighted signal intensities between NBO and HBO. FLAIR signal intensities were increased only in the vitreous bodyafter NBO and HBO and FLAIR signal of caudate nucleus was decreased after NBO (Dunnett’s test, p < 0.05). Thestatistically significant differences in FLAIR signal intensities were found between NBO and HBO (paired t-test, p < 0.05)in most observed brain structures (paired t-test, p < 0.05).Conclusions. Our results show that NBO and HBO alters signal intensities T1-weighted and FLAIR images of humanbrain. The differences between NBO and HBO are most pronounced in FLAIR imaging.
    Source: Radiology and oncology. - ISSN 1318-2099 (Vol. 57, no. 3, 2023, str. 317-324)
    Type of material - article, component part ; adult, serious
    Publish date - 2023
    Language - english
    COBISS.SI-ID - 171909123
    DOI

source: Radiology and oncology. - ISSN 1318-2099 (Vol. 57, no. 3, 2023, str. 317-324)

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