Imaging biomarkers of lung ventilation in interstitial lung disease from 129Xe and oxygen enhanced 1H MRI
Open accessAbstract
To compare imaging biomarkers from hyperpolarised 129Xe ventilation MRI and dynamic oxygen-enhanced MRI (OE-MRI) with standard pulmonary function tests (PFT) in interstitial lung disease (ILD) patients. To evaluate if biomarkers can separate ILD subtypes and detect early signs of disease resolution or progression. Prospective longitudinal. Forty-one ILD (fourteen idiopathic pulmonary fibrosis (IPF), eleven hypersensitivity pneumonitis (HP), eleven drug-induced ILD (DI-ILD), five connective tissue disease related-ILD (CTD-ILD)) patients and ten healthy volunteers imaged at visit 1. Thirty-four ILD patients completed visit 2 (eleven IPF, eight HP, ten DIILD, five CTD-ILD) after 6 or 26 weeks. MRI was performed at 1.5 T, including inversion recovery T1 mapping, dynamic MRI acquisition with varying oxygen levels, and hyperpolarised 129Xe ventilation MRI. Subjects underwent standard spirometry and gas transfer testing. Five 1H MRI and two 129Xe MRI ventilation metrics were compared with spirometry and gas transfer measurements. To evaluate differences at visit 1 among subgroups: ANOVA or Kruskal-Wallis rank tests with correction for multiple comparisons. To assess the relationships between imaging biomarkers, PFT, age and gender, at visit 1 and for the change between visit 1 and 2: Pearson correlations and multilinear regression models. The global PFT tests could not distinguish ILD subtypes. Percentage ventilated volumes were lower in ILD patients than in HVs when measured with 129Xe MRI (HV 97.4 ± 2.6, CTD-ILD: 91.0 ± 4.8 p = 0.017, DI-ILD 90.1 ± 7.4 p = 0.003, HP 92.6 ± 4.0 p = 0.013, IPF 88.1 ± 6.5 p < 0.001), but not with OE-MRI. 129Xe reported more heterogeneous ventilation in DI-ILD and IPF than in HV, and OE-MRI reported more heterogeneous ventilation in DI-ILD and IPF than in HP or CTD-ILD. The longitudinal changes reported by the imaging biomarkers did not correlate with the PFT changes between visits. Neither 129Xe ventilation nor OE-MRI biomarkers investigated in this study were able to differentiate between ILD subtypes, suggesting that ventilation-only biomarkers are not indicated for this task. Limited but progressive loss of ventilated volume as measured by 129Xe-MRI may be present as the biomarker of focal disease progresses. OE-MRI biomarkers are feasible in ILD patients and do not correlate strongly with PFT. Both OE-MRI and 129Xe MRI revealed more spatially heterogeneous ventilation in DI-ILD and IPF.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In another study, ventilation or oxygen enhanced-MRI biomarkers were not able to discriminate between different types of interstitial lung disease.
“However, in another study, ventilation or oxygen enhanced-MRI biomarkers were not able to discriminate between the different types of interstitial lung disease (ILD) (Tibiletti et al., 2023).”
From Pulmonary fibrosis: Emerging diagnostic and therapeutic strategies (2023) · cites this paper as Tibiletti et al., 2023
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Miller, M. R., Hankinson, J., Brusasco, V., Burgos, F., Casaburi, R., Coates, A., Crapo, R., Enright, P., van der Grinten, C. P. M., Gustafsson, P., et al. (2005) · European Respiratory Journal · doi:10.1183/09031936.05.00034805 · Cited by 15,627 · cited 1× · see citing works
“Patients underwent pulmonary function testing prior to MRI scanning, performed to international standards [27] under the supervision of a trained respiratory physiologist.”
MethodQuanjer, P. H., Stanojevic, S., Cole, T. J., Baur, X., Hall, G. L., Culver, B. H., Enright, P., Hankinson, J., Ip, M., Zheng, J., et al. (2012) · European Respiratory Journal · doi:10.1183/09031936.00080312 · Cited by 5,944 · see citing works
Travis, W. D., Costabel, U., Hansell, D. M., King, T. E., Lynch, D. A., Nicholson, A. G., Ryerson, C. J., Ryu, J. H., Selman, M., Wells, A. U., et al. (2013) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201308-1483st · Cited by 4,320 · see citing works
(2002) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.165.2.ats01 · Cited by 4,196 · see citing works
Clinical course and prediction of survival in idiopathic pulmonary fibrosis
Ley, B., Collard, H. R., & King, T. E. (2011) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201006-0894ci · Cited by 1,765 · see citing works
Diagnostic criteria for idiopathic pulmonary fibrosis: a Fleischner Society White Paper
Lynch, D. A., Sverzellati, N., Travis, W. D., Brown, K. K., Colby, T. V., Galvin, J. R., Goldin, J. G., Hansell, D. M., Inoue, Y., Johkoh, T., et al. (2018) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(17)30433-2 · Cited by 1,030 · see citing works
2017 ERS/ATS standards for single-breath carbon monoxide uptake in the lung
Graham, B. L., Brusasco, V., Burgos, F., Cooper, B. G., Jensen, R., Kendrick, A., MacIntyre, N. R., Thompson, B. R., & Wanger, J. (2017) · European Respiratory Journal · doi:10.1183/13993003.00016-2016 · Cited by 972 · see citing works
The Insight ToolKit image registration framework
Avants, B. B., Tustison, N. J., Stauffer, M., Song, G., Wu, B., & Gee, J. C. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2014.00044 · Cited by 658 · see citing works
Hypersensitivity Pneumonitis: Perspectives in Diagnosis and Management
Vašáková, M., Morell, F., Walsh, S. L. F., Leslie, K. O., & Raghu, G. (2017) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201611-2201pp · Cited by 455 · see citing works
Drug-Induced Interstitial Lung Disease: A Systematic Review
Skeoch, S., Weatherley, N., Swift, A. J., Oldroyd, A. G. S., Johns, C., Hayton, C., Giollo, A., Wild, J. M., Waterton, J. C., Buch, M. H., et al. (2018) · Journal of Clinical Medicine · doi:10.3390/jcm7100356 · Cited by 425 · see citing works
Self-citationEdelman, R. R., Hatabu, H., Tadamura, E., Li, W., & Prasad, P. V. (1996) · Nature Medicine · doi:10.1038/nm1196-1236 · Cited by 421 · see citing works
Pirfenidone Reduces Respiratory-related Hospitalizations in Idiopathic Pulmonary Fibrosis
Ley, B., Swigris, J. J., Day, B.-M., Stauffer, J. L., Raimundo, K., Chou, W., & Collard, H. R. (2017) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201701-0091oc · Cited by 206 · see citing works
Woodhouse, N., Wild, J. M., Paley, M. N. J., Fichele, S., Said, Z., Swift, A. J., & van Beek, E. J. R. (2005) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20290 · Cited by 181 · see citing works
Self-citationKaushik, S. S., Robertson, S. H., Freeman, M. S., et al. (2015) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25675 · Cited by 128 · see citing works
Kaushik, S. S., Freeman, M. S., Yoon, P., Liljeroth, M., Stiles, J. V., Roos, J. E., Foster, W. S. M., Rackley, C. R., McAdams, H. P., & Driehuys, B. (2014) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00326.2014 · Cited by 105 · see citing works
Using Hyperpolarized 129Xe MRI to Quantify the Pulmonary Ventilation Distribution
He, M., Driehuys, B., Que, L. G., & Huang, Y.-C. T. (2016) · Academic Radiology · doi:10.1016/j.acra.2016.07.014 · Cited by 96 · see citing works
Xe 129 -Rb Spin-Exchange Optical Pumping with High Photon Efficiency
Norquay, G., Collier, G. J., Rao, M. R., Stewart, N. J., & Wild, J. M. (2018) · Physical Review Letters · doi:10.1103/physrevlett.121.153201 · Cited by 94 · see citing works
Self-citationVirgincar, R. S., Cleveland, Z. I., Kaushik, S. S., Freeman, M. S., Nouls, J. C., Cofer, G. P., Martínez-Jiménez, S., He, M., Kraft, M., Wolber, J., et al. (2012) · NMR in Biomedicine · doi:10.1002/nbm.2880 · Cited by 91 · see citing works
Recent advances in understanding idiopathic pulmonary fibrosis
Daccord, C., & Maher, T. M. (2016) · F1000Research · doi:10.12688/f1000research.8209.1 · Cited by 88 · see citing works
Experimental and quantitative imaging techniques in interstitial lung disease
Weatherley, N. D., Eaden, J. A., Stewart, N. J., Bartholmai, B. J., Swift, A. J., Bianchi, S. M., & Wild, J. M. (2019) · Thorax · doi:10.1136/thoraxjnl-2018-211779 · Cited by 87 · see citing works
Self-citationComparison of 3 He and 129 Xe MRI for evaluation of lung microstructure and ventilation at 1.5T
Stewart, N. J., Chan, H., Hughes, P. J., Horn, F. C., Norquay, G., Rao, M. R., Yates, D. P., Ireland, R. H., Hatton, M. Q. F., Tahir, B., et al. (2018) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.25992 · Cited by 81 · see citing works
Self-citationBernstein, E. J., Jaafar, S., Assassi, S., Domsic, R. T., Frech, T., Gordon, J., Broderick, R., Hant, F. N., Hinchcliff, M., Shah, A. A., et al. (2020) · Arthritis & Rheumatology · doi:10.1002/art.41415 · Cited by 75 · see citing works
Stewart, N. J., Norquay, G., Griffiths, P. D., & Wild, J. M. (2015) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25732 · Cited by 72 · see citing works
Self-citationWeatherley, N., Stewart, N. J., Chan, H., Austin, M., Smith, L., Collier, G. J., Rao, M. R., Marshall, H., Norquay, G., Renshaw, S. A., et al. (2018) · Thorax · doi:10.1136/thoraxjnl-2018-211851 · Cited by 65 · see citing works
Self-citationHyperpolarized gas MRI in pulmonology
Kern, A. L., & Vogel‐Claussen, J. (2017) · British Journal of Radiology · doi:10.1259/bjr.20170647 · Cited by 63 · see citing works
Stadler, A., Jakob, P. M., Griswold, M. A., Stiebellehner, L., Barth, M., & Bankier, A. A. (2007) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21446 · Cited by 61 · see citing works
Collier, G. J., Eaden, J. A., Hughes, P. J., Bianchi, S. M., Stewart, N. J., Weatherley, N., Norquay, G., Schulte, R. F., & Wild, J. M. (2020) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28609 · Cited by 60 · see citing works
Self-citationZha, W., Kruger, S. J., Johnson, K. M., Cadman, R. V., Bell, L. C., Liu, F., Hahn, A. D., Evans, M. D., Nagle, S. K., & Fain, S. B. (2018) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.25877 · Cited by 50 · see citing works
The assessment of short- and long-term changes in lung function in cystic fibrosis using 129 Xe MRI
Smith, L., Horsley, A. R., Bray, J., Hughes, P. J., Biancardi, A. M., Norquay, G., Wildman, M. J., West, N., Marshall, H., & Wild, J. M. (2020) · European Respiratory Journal · doi:10.1183/13993003.00441-2020 · Cited by 50 · see citing works
Self-citationImaging of Hypersensitivity Pneumonitis
Magee, A. L., Montner, S. M., Husain, A. N., Adegunsoye, A., Vij, R., & Chung, J. H. (2016) · Radiologic Clinics of North America · doi:10.1016/j.rcl.2016.05.013 · Cited by 47 · see citing works
Hughes, P. J., Horn, F. C., Collier, G. J., Biancardi, A. M., Marshall, H., & Wild, J. M. (2017) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.25804 · Cited by 45 · see citing works
Self-citationDynamic oxygen-enhanced magnetic resonance imaging of the lung in asthma—Initial experience
Zhang, W., Niven, R. M., Young, S. S., Liu, Y.-Z., Parker, G. J. M., & Naish, J. H. (2014) · European Journal of Radiology · doi:10.1016/j.ejrad.2014.10.021 · Cited by 41 · see citing works
Self-citationMorgan, A. R., Parker, G. J. M., Roberts, C., Buonaccorsi, G. A., Maguire, N. C., Cristinacce, P. L. H., Singh, D., Vestbo, J., Bjermer, L. H., Jögi, J., et al. (2014) · European Journal of Radiology · doi:10.1016/j.ejrad.2014.08.004 · Cited by 34 · see citing works
Self-citationKern, A. L., Gutberlet, M., Qing, K., Voskrebenzev, A., Klimeš, F., Kaireit, T. F., Czerner, C. P., Biller, H., Wacker, F. K., Ruppert, K., et al. (2018) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27407 · Cited by 32 · see citing works
He, M., Zha, W., Tan, F. Z., Rankine, L. J., Fain, S. B., & Driehuys, B. (2018) · Academic Radiology · doi:10.1016/j.acra.2018.08.015 · Cited by 32 · see citing works
Weatherley, N., Eaden, J. A., Hughes, P. J., Austin, M., Smith, L., Bray, J., Marshall, H., Renshaw, S. A., Bianchi, S. M., & Wild, J. M. (2020) · Thorax · doi:10.1136/thoraxjnl-2019-214375 · Cited by 26 · see citing works
Self-citationTriphan, S. M. F., Stahl, M., Jobst, B. J., Sommerburg, O., Kauczor, H., Schenk, J., Alrajab, A., Eichinger, M., Mall, M. A., & Wielpütz, M. O. (2020) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.27271 · Cited by 25 · see citing works
Renne, J., Lauermann, P. A., Hinrichs, J. B., Schönfeld, C., Sorrentino, S. A., Gutberlet, M., Jakob, P. M., Wacker, F. K., & Vogel‐Claussen, J. (2013) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24535 · Cited by 24 · see citing works
Martini, K., Gygax, C. M., Benden, C., Morgan, A. R., Parker, G. J. M., & Frauenfelder, T. (2018) · European Radiology · doi:10.1007/s00330-018-5383-5 · Cited by 24 · see citing works
Self-citationReproducibility and comparison of oxygen-enhanced T1 quantification in COPD and asthma patients
Triphan, S. M. F., Jobst, B. J., Anjorin, A., Sedlaczek, O., Wolf, U., Terekhov, M., Hoffmann, C., Ley, S., Düber, C., Biederer, J., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0172479 · Cited by 20 · see citing works
Ohno, Y., Yui, M., Yoshikawa, T., Seki, S., Takenaka, D., Kassai, Y., Hattori, H., Murayama, K., & Toyama, H. (2020) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.27441 · Cited by 17 · see citing works
Dietrich, O., Gaaß, T., & Reiser, M. F. (2016) · European Journal of Radiology · doi:10.1016/j.ejrad.2016.11.027 · Cited by 12 · see citing works
Kindvall, S., Díaz, S., Svensson, J., Wollmer, P., Slusarczyk, D., & Olsson, L. E. (2015) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.25085 · Cited by 11 · see citing works
Maunder, A., Rao, M. R., Robb, F. J. L., & Wild, J. M. (2018) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27479 · Cited by 11 · see citing works
Self-citationKaushik, S. S., Robertson, S. H., Freeman, M. S., He, M., Kelly, K. T., Roos, J. E., Rackley, C. R., Foster, W. M., McAdams, H. P., & Driehuys, B. (2016) · Magnetic Resonance in Medicine · doi:10.1002/mrm.26211 · Cited by 2 · see citing works
Evaluation of whole lung 3D dynamic oxygen-enhanced MRI
Ulloa, J. L., Morgan, A. R., & Parker, G. J. M. (2014) · European Respiratory Journal · Cited by 1 · see citing works
Self-citation
Flagged first, then by citations
1 of the 47 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Stewart NJ, Chan H, Hughes PJC, Horn FC, Norquay G, Rao M, et al. Comparison of 3He and 129Xe MRI for evaluation of lung microstructure and ventilation at 1.5 T. J Magn Reson Imaging 2018;48:632-42.
Cited by
Sorted by citations
Pulmonary fibrosis: Emerging diagnostic and therapeutic strategies
Selvarajah, B., Platé, M., & Chambers, R. C. (2023) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2023.101227 · Cited by 57 · see citing works
Saunders, L. C., Collier, G. J., Chan, H., Hughes, P. J., Smith, L., Watson, J., Meiring, J., Gabriel, Z., Newman, T., Plowright, M., et al. (2023) · CHEST Journal · doi:10.1016/j.chest.2023.03.024 · Cited by 31 · see citing works
Self-citationStanel, S. C., & Rivera‐Ortega, P. (2023) · Frontiers in Medicine · doi:10.3389/fmed.2023.1114722 · Cited by 8 · see citing works
Wu, L., Gao, C., Wu, T., Kong, N., Zhang, Z., Li, J., Fan, L., & Xu, M. (2025) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.29802 · Cited by 6 · see citing works
Jiang, Y., Pu, D., Zhang, X., Ren, Z., & Yu, N. (2025) · BMC Medical Imaging · doi:10.1186/s12880-024-01536-6 · Cited by 3 · see citing works
Review of oxygen‐enhanced lung mri: Pulse sequences for image acquisition and T1 measurement
Xu, P., Meersmann, T., Wang, J., & Wang, C. (2023) · Medical Physics · doi:10.1002/mp.16553 · Cited by 3 · see citing works
Longitudinal relaxation rate ($${R}_{1}$$) in lung: a systematic review and meta-analysis
Edwards, L., Parker, G. J. M., Waterton, J. C., & Tibiletti, M. (2025) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-025-01259-x · Cited by 1 · see citing works
Self-citationEqubal, A., & Mewis, R. E. (2024) · Royal Society of Chemistry eBooks · doi:10.1039/9781837675630-00157
Predicting Pulmonary Graft Loss Using Oxygen-enhanced MRI T1 Mapping in a Prospective Study
Speth, M., Kaireit, T. F., Gutberlet, M., Klimeš, F., Behrendt, L., Voskrebenzev, A., Wacker, F. K., Gottlieb, J., & Vogel‐Claussen, J. (2025) · Radiology Cardiothoracic Imaging · doi:10.1148/ryct.240274
Xu, P., Zhang, J., Zeng, J., Wang, Y., Dou, X., Fan, Y., Meersmann, T., & Wang, C. (2025) · Magnetochemistry · doi:10.3390/magnetochemistry11110100
Simmons, A. V., Smith, L., Somerville, Z., Faulke, H., Clark, W., Hughes, D., Aldag, I., West, N., Biancardi, A. M., Wild, J. M., et al. (2026) · Journal of Cystic Fibrosis · doi:10.1016/j.jcf.2026.04.008
Self-citationZaccagnini, D., Magnini, A., Cinci, L., Calistri, L., Cozzi, D., Landini, N., Miele, V., & Miele, V. (2026) · La radiologia medica · doi:10.1007/s11547-026-02256-3
Makarchenko, A., & Kuzmin, V. (2026) · Physical Review A · doi:10.1103/k3k6-2nsj
- Authors
- Tibiletti, M., Eaden, J. A., Naish, J. H., Hughes, P. J. C., Waterton, J. C., Heaton, M. J., Chaudhuri, N., Skeoch, S., Bruce, I. N., Bianchi, S., Wild, J. M., & Parker, G. J. M.
- Affiliations
- University of Sheffield (GB)
- Manchester University NHS Foundation Trust (GB)
- University of Manchester (GB)
- Manchester Academic Health Science Centre (GB)
- Royal National Hospital for Rheumatic Diseases (GB)
- Sheffield Teaching Hospitals NHS Foundation Trust (GB)
- Insigneo (GB)
- University College London (GB)
- Corresponding author
- Parker, Geoff J.M.
- ORCID
- Venue
- Magnetic Resonance Imaging
- Publisher
- Elsevier BV
- Published
- 2023-01
- Volume
- 95
- Pages
- 39-49
- ISSN
- 0730-725X (ISSN-L)
- OpenAlex
- W4306319281
- Cited by
- 13
- References
- 47
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 1 · 2023: 4
- FWCI
- 1.61
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Magnetic Resonance Imaging (publishedVersion, cc-by)
- PubMed (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion, cc-by)
- Ulster University Research Portal (Ulster University) (submittedVersion, cc-by)
- Funders
- Innovative Medicines Initiative (116106)
- NIH
- GlaxoSmithKline (BIDS3000032592)
- Medical Research Council (MR/M008894/1)
- National Institute for Health and Care Research
- Department of Health and Social Care
- European Federation of Pharmaceutical Industries and Associations
- European Commission
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Atomic and Subatomic Physics Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- interstitial lung disease, pulmonary ventilation, imaging biomarkers, oxygen-enhanced MRI, idiopathic pulmonary fibrosis, hypersensitivity pneumonitis, drug-induced interstitial lung disease, connective tissue disease-associated interstitial lung disease, pulmonary function tests, gas transfer, ventilation heterogeneity, disease progression, disease resolution, ILD subtypes
- MeSH terms
- Humans, Lung, Magnetic Resonance Imaging, Oxygen, Prospective Studies, Biomarkers, Lung Diseases, Interstitial, Idiopathic Pulmonary Fibrosis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review