This study demonstrates non-invasive pulmonary hematocrit assessment in rat models, suggesting its potential for early lung disease detection.
Motivation: Accurate, non-invasive pulmonary hematocrit (Hct) assessment is crucial for detecting lung function abnormalities but remains challenging with existing methods like blood tests and CSSR. Goal(s): This study aims to establish a faster, non-invasive approach to measure pulmonary Hct using hyperpolarized 129Xe MR signal oscillations. Approach: We analyzed cardiac-induced oscillations in 129Xe MR signals from red blood cells and tissue/plasma compartments in rat models to estimate Hct and compared results with CSSR and blood tests. Results: Pulmonary Hct values strongly correlated with traditional measurements, demonstrating the method's sensitivity to blood composition changes in anemia models. Impact: This novel approach for pulmonary Hct assessment enables non-invasive measurements of lung blood composition, providing new possibilities for early lung disease detection. It enables accurate Hct measurements in small pulmonary vessels, potentially refining disease diagnosis and progression monitoring.
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Liu et al. (2025) studied this question.
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