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Images acquired at end-inspiration and end-expiration were registered by optical flow to estimate expiratory\u2013inspiratory proton-density change (\u0394<jats:sup>1<\/jats:sup>H-MRI) as a measure of regional ventilation. Magnetic resonance images were also evaluated using a CF-specific scoring system.<\/jats:p><jats:p>Biomarkers of CF ventilation impairment were defined from the \u0394<jats:sup>1<\/jats:sup>H-MRI as follows: \u0394<jats:sup>1<\/jats:sup>H-MRI median, \u0394<jats:sup>1<\/jats:sup>H-MRI quartile coefficient of variation (QCV) and percentage of low-ventilation volume (%LVV). Imaging biomarkers correlated to all the clinical measures of ventilation abnormality, with the strongest correlation between \u0394<jats:sup>1<\/jats:sup>H-MRI median and forced expiratory volume in 1\u2005s (r<jats:sup>2<\/jats:sup>=0.44, p&lt;0.001), \u0394<jats:sup>1<\/jats:sup>H-MRI QCV and lung clearance index (LCI) (r<jats:sup>2<\/jats:sup>=0.51, p&lt;0.001) and %LVV and LCI (r<jats:sup>2<\/jats:sup>=0.66, p&lt;0.001). Correlations were also found between imaging biomarkers of ventilation and morphological scoring.<\/jats:p><jats:p>The study showed a significant correlation between quantitative multivolume MRI and clinical indicators of CF lung disease. MRI, as a non-ionising imaging technique, may be particularly attractive in CF care for longitudinal evaluation, providing a new imaging biomarker to detect early ventilatory abnormalities.<\/jats:p>","DOI":"10.1183\/13993003.02020-2017","type":"journal-article","created":{"date-parts":[[2019,2,28]],"date-time":"2019-02-28T13:25:17Z","timestamp":1551360317000},"page":"1702020","update-policy":"https:\/\/doi.org\/10.1183\/ers-crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Quantitative multivolume proton-magnetic resonance imaging in patients with cystic fibrosis lung disease: comparison with clinical 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