Measurement of pulmonary hematocrit using oscillation of hyperpolarized 129Xe MR signals in blood.

IF 3 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Xiaoling Liu, Haidong Li, Hongchuang Li, Ming Zhang, Yu Zheng, Xiuchao Zhao, Lei Shi, Yeqing Han, Fumin Guo, Xin Zhou
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引用次数: 0

Abstract

Purpose: To demonstrate the feasibility of measuring pulmonary hematocrit (Hct) in blood in vivo using oscillation of hyperpolarized 129Xe MR signals and its potential for disease assessment in animal models.

Methods: Hyperpolarized 129Xe dynamic MR spectroscopy was performed on 10 anemia model rats and 10 control rats. A concise model based on hyperpolarized 129Xe MR signal oscillations was built for calculating pulmonary Hct. Blood tests and chemical shift saturation recovery were conducted on each rat to obtain Hct. Correlations of Hct obtained from different methods were analyzed using SPSS 22.0.

Results: Hct measurements were strongly correlated with blood test (Spearman correlation coefficient r = 0.871, p < 0.001) and chemical shift saturation recovery measurements (r = 0.956, p < 0.001). Hct was 0.198 ± 0.054 for the anemic cohort and 0.457 ± 0.039 for the control group (p < 0.001).

Conclusion: We developed an approach that provided a way to quantify changes in pulmonary Hct using oscillations of hyperpolarized 129Xe signals. This method shows promise for noninvasive pulmonary Hct assessment and disease evaluation.

利用血液中超极化129Xe磁共振信号振荡测量肺红细胞压积。
目的:验证利用超极化129Xe磁共振信号振荡测量体内血液中肺红细胞压积(Hct)的可行性及其在动物模型中疾病评估的潜力。方法:对10只贫血模型大鼠和10只对照大鼠进行超极化129Xe动态磁共振成像。建立了一个基于超极化129Xe MR信号振荡的简明模型,用于计算肺部Hct。对每只大鼠进行血液检查和化学位移饱和度恢复以获得Hct。采用SPSS 22.0软件对不同方法所得Hct的相关性进行分析。结果:Hct测量结果与血液检测结果密切相关(Spearman相关系数r = 0.871, p)。结论:我们开发了一种方法,提供了一种利用超极化129Xe信号振荡来量化肺部Hct变化的方法。该方法有望用于无创肺部Hct评估和疾病评估。
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来源期刊
CiteScore
6.70
自引率
24.20%
发文量
376
审稿时长
2-4 weeks
期刊介绍: Magnetic Resonance in Medicine (Magn Reson Med) is an international journal devoted to the publication of original investigations concerned with all aspects of the development and use of nuclear magnetic resonance and electron paramagnetic resonance techniques for medical applications. Reports of original investigations in the areas of mathematics, computing, engineering, physics, biophysics, chemistry, biochemistry, and physiology directly relevant to magnetic resonance will be accepted, as well as methodology-oriented clinical studies.
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