2019
DOI: 10.1002/jmri.26623
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Advanced pulmonary MRI to quantify alveolar and acinar duct abnormalities: Current status and future clinical applications

Abstract: There are serious clinical gaps in our understanding of chronic lung disease that require novel, sensitive, and noninvasive in vivo measurements of the lung parenchyma to measure disease pathogenesis and progressive changes over time as well as response to treatment. Until recently, our knowledge and appreciation of the tissue changes that accompany lung disease has depended on ex vivo biopsy and concomitant histological and stereological measurements. These measurements have revealed the underlying pathologie… Show more

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Cited by 7 publications
(2 citation statements)
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“…One exception is the description of a method for the evaluation of the pulmonary vasculature using microCT (464). Recent attention to the use of advanced pulmonary MRI to quantify alveolar and acinar duct abnormalities in BPD patients (623) raises the possibility of extending these approaches to preclinical models.…”
Section: Microscopic and Radiographic Imagingmentioning
confidence: 99%
“…One exception is the description of a method for the evaluation of the pulmonary vasculature using microCT (464). Recent attention to the use of advanced pulmonary MRI to quantify alveolar and acinar duct abnormalities in BPD patients (623) raises the possibility of extending these approaches to preclinical models.…”
Section: Microscopic and Radiographic Imagingmentioning
confidence: 99%
“…Ever since the microgeometry dependence of gas diffusion magnetic resonance (MR) measurements on the lung was first demonstrated experimentally [1][2][3], there has been great interest in utilizing this dependence in clinical and research applications, such as detection and investigation of emphysema (see, e.g., Refs. [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]). However, due to the lack of a general analytic relation relating the microgeometry and the measured quantity, it has so far not been clear what specific information the dependence allows one to extract.…”
Section: Introductionmentioning
confidence: 99%