Volumetric quantification of lung MR signal intensities using ultrashort TE as an automated score in cystic fibrosis.
Ilyes BenlalaSophie PointCédric LeungPatrick BergerJason C WoodsChantal RaherisonFrançois LaurentJulie MaceyGael DournesPublished in: European radiology (2020)
Clinical trial identifier: NCT02449785 KEY POINTS: • Cross-sectionally, the automated quantifications of high and low signal intensity volumes at UTE correlated to the quantification of high and low attenuation using CT as reference. • Longitudinally, the variation of high signal intensity volume at UTE correlated to the variation of pulmonary function test and was significantly reduced in CF with an improvement in exacerbation status. • Automated quantification of abnormal signal intensity volumes are objective and reproducible tools to assess structural alterations in CF and follow-up longitudinally, for both research and clinical purposes.
Keyphrases
- cystic fibrosis
- clinical trial
- high intensity
- pseudomonas aeruginosa
- machine learning
- chronic obstructive pulmonary disease
- high throughput
- contrast enhanced
- computed tomography
- lung function
- randomized controlled trial
- magnetic resonance
- magnetic resonance imaging
- intensive care unit
- positron emission tomography
- dual energy
- double blind
- acute respiratory distress syndrome
- mechanical ventilation