Pulmonary functional MRI: Detecting the structure-function pathologies that drive asthma symptoms and quality of life.
Pulmonary functional MRI: Detecting the structure-function pathologies that drive asthma symptoms and quality of life.
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DOI:
10.1111/resp.14197
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发表时间:
2022-02
期刊:
影响因子:
6.9
通讯作者:
Parraga, Grace
中科院分区:
文献类型:
--
作者:
Kooner, Harkiran K.;McIntosh, Marrissa J.;Desaigoudar, Vedanth;Rayment, Jonathan H.;Eddy, Rachel L.;Driehuys, Bastiaan;Parraga, Grace
Pulmonary functional magnetic resonance imaging (PfMRI) using inhaled hyperpolarised, radiation-free gases (such as 3He and 129Xe) provides a way to directly visualise inhaled gas distribution and ventilation defects (or ventilation heterogeneity) in real time with high spatial (~mm3) resolution. Both gases enable quantitative measurement of terminal airway morphology, while 129Xe uniquely enables imaging the transfer of inhaled gas across the alveolar-capillary tissue barrier to the red blood cells. In patients with asthma, pulmonary functional MRI abnormalities have been shown reflect airway smooth muscle dysfunction, airway inflammation and remodelling, luminal occlusions and airway pruning. The method is rapid (8-15s), cost-effective (~$300/scan) and very well-tolerated in patients, even those who are very young or very ill, because unlike computed tomography, positron emission tomography and single-photon emission computed tomography, there is no ionising radiation and the examination takes only a few seconds. However, PfMRI is not without limitations, which include the requirement of complex image analysis, specialised equipment, and additional training and quality-control. We provide an overview of the three main applications of hyperpolarised noble gas MRI in asthma research including: 1) inhaled gas distribution or ventilation imaging, 2) alveolar microstructure, and finally, 3) gas transfer into the alveolar-capillary tissue space and from the tissue barrier into red blood cells in the pulmonary microvasculature. We highlight the evidence that supports a deeper understanding of the mechanisms of asthma worsening over time and the pathologies responsible for symptoms and disease control. We conclude with a summary of approaches that have the potential for integration into clinical workflows and that may be used to guide personalised treatment planning.
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