Simmons, A.V. orcid.org/0009-0001-1013-8199, Smith, L.J. orcid.org/0000-0002-5769-423X, Somerville, Z. orcid.org/0009-0008-4115-8206 et al. (8 more authors) (2026) Expiratory lung MRI: a simple, sensitive method to quantify and visualise regional gas trapping in cystic fibrosis. Journal of Cystic Fibrosis. ISSN: 1569-1993
Abstract
Background
Computed tomography is the gold standard for visually assessing gas trapping, a hallmark of early lung disease in people with cystic fibrosis (pwCF), but its use is limited in children. Lung proton magnetic resonance imaging (¹H-MRI) offers a simple, non-ionising alternative. This work aimed to use breath-hold 1H-MRI to visualise and quantify gas trapping in pwCF.
Methods
24 normal controls (9 adults, 15 children) and 27 pwCF underwent breath-hold 1H-MRI at residual volume (RV) and total lung capacity (TLC). For each participant, a threshold was defined from the TLC image and applied to the RV image to quantify low-signal areas, presumed to be gas trapping, as a gas trapping volume (GTV). An upper limit of normal (ULN) was defined based on the normal distribution of GTV, and GTV was compared to spirometry, body plethysmography, multiple breath washout and 129Xe Ventilation MRI.
Results
Gas trapping was visualised in pwCF as regions of low signal intensity on RV images. Healthy volunteers had a median GTV of 2.93% (0.32–14.37%). PwCF had a GTV of 21.80% (2.04–82.68%) and FEV1 z-scores of -1.14 (-5.43, 2.17), with 14 having normal FEV1. The ULN of GTV was 7.01%; 9/14 pwCF with normal spirometry exceeded this. In pwCF, GTV is strongly correlated with FEV1 z-scores, 129Xe-MRI ventilation defect percentage, and gas trapping measured by body plethysmography (RV/TLC%).
Conclusions
Using a standard, easily implementable breath-hold 1H-MRI protocol, gas trapping in CF can be clearly visualised and quantified. Preliminary evidence shows lung function impairment in pwCF who have normal FEV1.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2026 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in Journal of Cystic Fibrosis is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | CF lung disease; Gas trapping; Lung imaging; Magnetic resonance imaging |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > The Medical School (Sheffield) > Division of Genomic Medicine (Sheffield) > Department of Oncology and Metabolism (Sheffield) The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health |
| Funding Information: | Funder Grant number MEDICAL RESEARCH COUNCIL MR/M008894/1 NIHR Academy NIHR-RP-R3-12-027 National Institute for Health and Care Research ICA-CDRF-2015-01-027 UK RESEARCH AND INNOVATION MR/W008556/1 |
| Date Deposited: | 08 Jun 2026 15:35 |
| Last Modified: | 08 Jun 2026 15:35 |
| Status: | Published online |
| Publisher: | Elsevier BV |
| Refereed: | Yes |
| Identification Number: | 10.1016/j.jcf.2026.04.008 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:241824 |
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