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Dynamic perfluorinated gas MRI reveals abnormal ventilation despite normal FEV1 in cystic fibrosis

Authors :
Brian J. Soher
Scott H. Donaldson
Tyler M. Glass
Aaron T. Trimble
Esther O. Akinnagbe-Zusterzeel
Richard C. Boucher
H. Cecil Charles
Agathe Ceppe
Sang Hun Chung
Jennifer L. Goralski
Yueh Z. Lee
Source :
JCI Insight. 5
Publication Year :
2020
Publisher :
American Society for Clinical Investigation, 2020.

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 (FEV(1); >80% predicted, n = 9). Dynamic fluorine-19–enhanced MRI ((19)F 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). (19)F 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 (19)F MRI a potentially valuable method for the characterization of early lung disease in CF. This study has been registered at ClinicalTrials.gov (NCT03489590).

Details

ISSN :
23793708 and 03489590
Volume :
5
Database :
OpenAIRE
Journal :
JCI Insight
Accession number :
edsair.doi.dedup.....3976256fe3923d5d8ab99520896cb1a3
Full Text :
https://doi.org/10.1172/jci.insight.133400