Liu Xiaoling, Li Haidong, Li Hongchuang, Zhang Ming, Zheng Yu, Zhao Xiuchao, Shi Lei, Han Yeqing, Guo Fumin, Zhou Xin
Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.
University of Chinese Academy of Sciences, Beijing, China.
Magn Reson Med. 2025 May;93(5):1886-1895. doi: 10.1002/mrm.30398. Epub 2024 Dec 6.
To demonstrate the feasibility of measuring pulmonary hematocrit (Hct) in blood in vivo using oscillation of hyperpolarized Xe MR signals and its potential for disease assessment in animal models.
Hyperpolarized Xe dynamic MR spectroscopy was performed on 10 anemia model rats and 10 control rats. A concise model based on hyperpolarized Xe 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.
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).
We developed an approach that provided a way to quantify changes in pulmonary Hct using oscillations of hyperpolarized Xe signals. This method shows promise for noninvasive pulmonary Hct assessment and disease evaluation.
利用超极化氙磁共振信号的振荡来证明在体内测量血液中肺血细胞比容（Hct）的可行性及其在动物模型中进行疾病评估的潜力。
对10只贫血模型大鼠和10只对照大鼠进行超极化氙动态磁共振波谱分析。建立了基于超极化氙磁共振信号振荡的简化模型来计算肺血细胞比容。对每只大鼠进行血液检测和化学位移饱和恢复实验以获得血细胞比容。使用SPSS 22.0分析不同方法获得的血细胞比容之间的相关性。
血细胞比容测量值与血液检测结果（Spearman相关系数r = 0.871，p < 0.001）和化学位移饱和恢复测量结果（r = 0.956，p < 0.001）密切相关。贫血组的血细胞比容为0.198±0.054，对照组为0.457±0.039（p < 0.001）。
我们开发了一种方法，该方法提供了一种利用超极化氙信号的振荡来量化肺血细胞比容变化的途径。该方法在无创肺血细胞比容评估和疾病评价方面显示出前景。
