scholarly journals In vivo chlorine-35, sodium-23 and proton magnetic resonance imaging of the rat brain

2010 ◽  
Vol 23 (6) ◽  
pp. 592-600 ◽  
Author(s):  
Stefan Kirsch ◽  
Mark Augath ◽  
David Seiffge ◽  
Lothar Schilling ◽  
Lothar R. Schad
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Rat Brain ◽  
Proton Magnetic Resonance ◽  
Resonance Imaging ◽  
Proton Magnetic Resonance Imaging

scholarly journals Quantitative multivolume proton-magnetic resonance imaging in patients with cystic fibrosis lung disease: comparison with clinical indicators

2019 ◽  
Vol 53 (5) ◽  
pp. 1702020 ◽  
Author(s):  
Francesca Pennati ◽  
Caterina Salito ◽  
Irene Borzani ◽  
Giulia Cervellin ◽  
Simone Gambazza ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Cystic Fibrosis ◽  
Magnetic Resonance ◽  
Lung Disease ◽  
Proton Magnetic Resonance ◽  
Magnetic Resonance Images ◽  
Imaging Biomarkers ◽  
Resonance Imaging ◽  
Clinical Indicators ◽  
Proton Magnetic Resonance Imaging

This cross-sectional study aims to verify the relationship between quantitative multivolume proton-magnetic resonance imaging (1H-MRI) and clinical indicators of ventilatory abnormalities in cystic fibrosis (CF) lung disease.Non-enhanced chest MRI, spirometry and multiple breath washout was performed by 28 patients (10–27 years) with CF lung disease. Images acquired at end-inspiration and end-expiration were registered by optical flow to estimate expiratory–inspiratory proton-density change (Δ1H-MRI) as a measure of regional ventilation. Magnetic resonance images were also evaluated using a CF-specific scoring system.Biomarkers of CF ventilation impairment were defined from the Δ1H-MRI as follows: Δ1H-MRI median, Δ1H-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 Δ1H-MRI median and forced expiratory volume in 1 s (r2=0.44, p<0.001), Δ1H-MRI QCV and lung clearance index (LCI) (r2=0.51, p<0.001) and %LVV and LCI (r2=0.66, p<0.001). Correlations were also found between imaging biomarkers of ventilation and morphological scoring.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.

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