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采用正弦和弹丸式氧合挑战的无对比动态磁化率对比。

Contrast-free dynamic susceptibility contrast using sinusoidal and bolus oxygenation challenges.

机构信息

Department of Biomedical Engineering, University of Southern California, Los Angeles, California, USA.

Neuroscience Graduate Program, University of Southern California, Los Angeles, California, USA.

出版信息

NMR Biomed. 2024 May;37(5):e5111. doi: 10.1002/nbm.5111. Epub 2024 Jan 31.

DOI:10.1002/nbm.5111
PMID:38297919
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10987281/
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 (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. 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.

摘要

基于去氧的动态磁敏感对比(dDSC)MRI 使用呼吸挑战作为内源性对比的来源,作为钆注射的替代方法。这些气体挑战会引起 T2*-加权 MRI 信号丢失,然后应用示踪剂动力学模型来计算脑灌注。这项工作在 10 名健康志愿者(年龄 37±11 岁;60%为女性)的队列中比较了三种气体挑战,即缺氧(短暂缺氧)、复氧(短暂正常氧)和正弦氧(呼气末氧分压的正弦调制)。灌注估计包括脑血流量(CBF)、脑血容量(CBV)和平均通过时间(MTT)。使用传统的示踪剂动力学模型在时域中计算缺氧和复氧的计算,在正弦氧的频域中计算。尽管 MTT 和 CBF 估计值随缺氧刺激而变化,但三种基于去氧的范式之间的 CBV 具有高度相关性和一致性限制。与钆 DSC 的跨模态相关性较低,特别是对于 MTT,但与其他灌注参考之间的一致性相当。总的来说,这项工作证明了使用氧气呼吸挑战来测量脑灌注的可行性和可靠性。需要进一步的工作来评估 dDSC 在各种病理情况下(如缺血性中风、脑肿瘤和神经退行性疾病)的诊断评估中的效用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a52/10987281/48fe73ba52be/nihms-1958021-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a52/10987281/9d6e9adce293/nihms-1958021-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a52/10987281/51ce590d7713/nihms-1958021-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a52/10987281/fb5f8145b53b/nihms-1958021-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a52/10987281/528964c98cd9/nihms-1958021-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a52/10987281/48fe73ba52be/nihms-1958021-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a52/10987281/9d6e9adce293/nihms-1958021-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a52/10987281/51ce590d7713/nihms-1958021-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a52/10987281/fb5f8145b53b/nihms-1958021-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a52/10987281/528964c98cd9/nihms-1958021-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a52/10987281/48fe73ba52be/nihms-1958021-f0006.jpg

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