AI Article Synopsis

  • The study explored the use of dynamic perfluorinated gas MRI to detect early lung disease in cystic fibrosis (CF) patients.
  • Results showed that ventilation defect percent (VDP) was significantly higher in moderate CF subjects compared to healthy controls, but not distinct in mild CF.
  • The wash-out kinetics of PFP gas indicated that 19F MRI could effectively differentiate between healthy lungs and early mild CF lung disease, suggesting its potential as a diagnostic tool.

Article Abstract

We hypothesized that dynamic perfluorinated gas MRI would sensitively detect mild cystic fibrosis (CF) lung disease. This cross-sectional study enrolled 20 healthy volunteers and 24 stable subjects with CF, including a subgroup of subjects with normal forced expiratory volume in the first second (FEV1; >80% predicted, n = 9). Dynamic fluorine-19-enhanced MRI (19F MRI) were acquired during sequential breath holds while breathing perfluoropropane (PFP) and during gas wash-out. Outcomes included the fraction of lung without significant ventilation (ventilation defect percent, VDP) and time constants that described PFP wash-in and wash-out kinetics. VDP values (mean ± SD) of healthy controls (3.87% ± 2.7%) were statistically different from moderate CF subjects (19.5% ± 15.5%, P = 0.001) but not from mild CF subjects (10.4% ± 9.9%, P = 0.24). In contrast, the fractional lung volume with slow gas wash-out was elevated both in subjects with mild (9.61% ± 4.87%; P = 0.0066) and moderate CF (16.01% ± 5.01%; P = 0.0002) when compared with healthy controls (3.84% ± 2.16%) and distinguished mild from moderate CF (P = 0.006). 19F MRI detected significant ventilation abnormalities in subjects with CF. The ability of gas wash-out kinetics to distinguish between healthy and mild CF lung disease subjects makes 19F MRI a potentially valuable method for the characterization of early lung disease in CF. This study has been registered at ClinicalTrials.gov (NCT03489590).

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7098716PMC
http://dx.doi.org/10.1172/jci.insight.133400DOI Listing

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