Quantitative multivolume proton-magnetic resonance imaging in patients with cystic fibrosis lung disease: comparison with clinical indicators
| Autor: | Caterina Salito, Irene Borzani, Riccardo Guarise, Simone Gambazza, Francesca Pennati, Andrea Aliverti, G. Cervellin, Maria Chiara Russo, Carla Colombo |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Pulmonary and Respiratory Medicine
Spirometry Adult Male medicine.medical_specialty Imaging biomarker Adolescent Cystic Fibrosis Cystic fibrosis 030218 nuclear medicine & medical imaging 03 medical and health sciences Young Adult 0302 clinical medicine Forced Expiratory Volume Medicine Humans In patient Child Lung medicine.diagnostic_test business.industry Respiration Magnetic resonance imaging medicine.disease Magnetic Resonance Imaging Respiratory Function Tests Cross-Sectional Studies 030228 respiratory system Quartile Lung disease Breathing Linear Models Female Radiology Protons business |
| Popis: | 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, p1H-MRI QCV and lung clearance index (LCI) (r2=0.51, p2=0.66, pThe 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. |
| Databáze: | OpenAIRE |
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