对比度(视觉)
丸(消化)
充氧
核磁共振
化学
医学
物理
内科学
计算机科学
人工智能
作者
Chau Vu,Jian Shen,Clio González-Zacarías,Botian Xu,Koen P.A. Baas,Soyoung Choi,Aart J. Nederveen,John C. Wood
摘要
Abstract Deoxygenation‐based dynamic susceptibility contrast (dDSC) MRI uses respiratory challenges as a source of endogenous contrast as an alternative to gadolinium injection. These gas challenges induce T2*‐weighted MRI signal losses, after which tracer kinetics modeling was applied to calculate cerebral perfusion. This work compares three gas challenges, desaturation (transient hypoxia), resaturation (transient normoxia), and SineO 2 (sinusoidal modulation of end‐tidal oxygen pressures) in a cohort of 10 healthy volunteers (age 37 ± 11 years; 60% female). Perfusion estimates consisted of cerebral blood flow (CBF), cerebral blood volume (CBV), and mean transit time (MTT). Calculations were computed using a traditional tracer kinetics model in the time domain for desaturation and resaturation and in the frequency domain for SineO 2 . High correlations and limits of agreement were observed among the three deoxygenation‐based paradigms for CBV, although MTT and CBF estimates varied with the hypoxic stimulus. Cross‐modality correlation with gadolinium DSC was lower, particularly for MTT, but on a par with agreement between the other perfusion references. Overall, this work demonstrated the feasibility and reliability of oxygen respiratory challenges to measure brain perfusion. Additional work is needed to assess the utility of dDSC in the diagnostic evaluation of various pathologies such as ischemic strokes, brain tumors, and neurodegenerative diseases.
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