Hyperpolarized 129Xe MR Spectroscopy in the Lung Shows 1-year Reduced Function in Idiopathic Pulmonary Fibrosis
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Background Idiopathic pulmonary fibrosis (IPF) is a temporally and spatially heterogeneous lung disease. Identifying whether IPF in a patient is progressive or stable is crucial for treatment regimens. Purpose To assess the role of hyperpolarized (HP) xenon 129 (129Xe) MRI measures of ventilation and gas transfer in IPF generally and as an early signature of future IPF progression. Materials and Methods In a prospective study, healthy volunteers and participants with IPF were consecutively recruited between December 2015 and August 2019 and underwent baseline HP 129Xe MRI and chest CT. Participants with IPF were followed up with forced vital capacity percent predicted (FVC%p), diffusing capacity of the lungs for carbon monoxide percent predicted (DLco%p), and clinical outcome at 1 year. IPF progression was defined as reduction in FVC%p by at least 10%, reduction in DLco%p by at least 15%, or admission to hospice care. CT and MRI were spatially coregistered and a measure of pulmonary gas transfer (red blood cell [RBC]-to-barrier ratio) and high-ventilation percentage of lung volume were compared across groups and across fibrotic versus normal-appearing regions at CT by using Wilcoxon signed rank tests. Results Sixteen healthy volunteers (mean age, 57 years ± 14 [SD]; 10 women) and 22 participants with IPF (mean age, 71 years ± 9; 15 men) were evaluated, as follows: nine IPF progressors (mean age, 72 years ± 7; five women) and 13 nonprogressors (mean age, 70 years ± 10; 11 men). Reduction of high-ventilation percent (13% ± 6.1 vs 8.2% ± 5.9; P = .03) and RBC-to-barrier ratio (0.26 ± 0.06 vs 0.20 ± 0.06; P = .03) at baseline were associated with progression of IPF. Participants with progressive disease had reduced RBC-to-barrier ratio in structurally normal-appearing lung at CT (0.21 ± 0.07 vs 0.28 ± 0.05; P = .01) but not in fibrotic regions of the lung (0.15 ± 0.09 vs 0.14 ± 0.04; P = .62) relative to the nonprogressive group. Conclusion In this preliminary study, functional measures of gas transfer and ventilation measured with xenon 129 MRI and the extent of fibrotic structure at CT were associated with idiopathic pulmonary fibrosis disease progression. Differences in gas transfer were found in regions of nonfibrotic lung. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Gleeson and Fraser in this issue.
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A recent preliminary study showed that HP 129Xe-MRI could evaluate functional measures of gas transfer and ventilation to accurately identify patients with progressive PF, and could identify differences in gas transfer in regions of non-fibrotic lung in patients with progressive fibrosis compared with those with stable fibrosis.
“A recent preliminary study showed that HP 129 Xe-MRI could evaluate functional measures of gas transfer and ventilation to accurately identify patients with progressive PF. This novel imaging approach was also able to identify differences in gas transfer in regions of nonfibrotic lung in patients with progressive fibrosis compared with those with stable fibrosis (Hahn et al., 2022).”
From Pulmonary fibrosis: Emerging diagnostic and therapeutic strategies (2023) · cites this paper as Hahn et al., 2022
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Raghu, G., Collard, H. R., Egan, J. J., Martinez, F. J., Behr, J., Brown, K. K., Colby, T. V., Cordier, J.-F., Flaherty, K. R., Lasky, J. A., et al. (2011) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.2009-040gl · Cited by 7,186 · see citing works
Quanjer, 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
Avants, B., Epstein, C. L., Grossman, M., & Gee, J. C. (2007) · Medical Image Analysis · doi:10.1016/j.media.2007.06.004 · Cited by 5,618 · see citing works
Graham, B. L., Steenbruggen, I., Miller, M. R., Barjaktarevic, I. Z., Cooper, B. G., Hall, G. L., Hallstrand, T. S., Kaminsky, D. A., McCarthy, K., McCormack, M. C., et al. (2019) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201908-1590st · Cited by 4,305 · see citing works
King, T. E., Pardo, A., & Selman, M. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60052-4 · Cited by 2,194 · see citing works
Pirfenidone in patients with idiopathic pulmonary fibrosis (CAPACITY): two randomised trials
Noble, P. W., Albera, C., Bradford, W. Z., Costabel, U., Glassberg, M. K., Kardatzke, D., King, T. E., Lancaster, L., Sahn, S. A., Szwarcberg, J., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60405-4 · Cited by 2,154 · 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
A Multidimensional Index and Staging System for Idiopathic Pulmonary Fibrosis
Ley, B., Ryerson, C. J., Vittinghoff, E., Ryu, J. H., Tomassetti, S., Lee, J. S., Poletti, V., Buccioli, M., Elicker, B. M., Jones, K. D., et al. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-156-10-201205150-00004 · Cited by 1,308 · 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
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
Demedts, M., & Costabel, U. (2002) · European Respiratory Journal · doi:10.1183/09031936.02.00492002 · Cited by 460 · see citing works
Long-term Course and Prognosis of Idiopathic Pulmonary Fibrosis in the New Millennium
Nathan, S. D., Shlobin, O. A., Weir, N. A., Ahmad, S., Kaldjob, J. M., Battle, E., Sheridan, M. J., & du Bois, R. M. (2011) · CHEST Journal · doi:10.1378/chest.10-2572 · Cited by 368 · see citing works
Optimized 3D ultrashort echo time pulmonary MRI
Johnson, K. M., Fain, S. B., Schiebler, M. L., & Nagle, S. K. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24570 · Cited by 322 · see citing works
Self-citationAutomated quantification of radiological patterns predicts survival in idiopathic pulmonary fibrosis
Maldonado, F., Moua, T., Rajagopalan, S., Karwoski, R. A., Raghunath, S. M., Decker, P. A., Hartman, T. E., Bartholmai, B. J., Robb, R. A., & Ryu, J. H. (2013) · European Respiratory Journal · doi:10.1183/09031936.00071812 · Cited by 264 · see citing works
Predicting outcomes in idiopathic pulmonary fibrosis using automated computed tomographic analysis
Jacob, J., Bartholmai, B. J., Rajagopalan, S., van Moorsel, C. H. M., van Es, H. W., van Beek, F. T., Struik, M. H. L., Kokosi, M., Egashira, R., Brun, A. L., et al. (2018) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201711-2174oc · Cited by 198 · see citing works
Jacob, J., Bartholmai, B. J., Rajagopalan, S., Kokosi, M. A., Nair, A., Karwoski, R. A., Raghunath, S. M., Walsh, S. L. F., Wells, A. U., & Hansell, D. M. (2016) · Journal of Thoracic Imaging · doi:10.1097/rti.0000000000000220 · Cited by 195 · see citing works
Humphries, S. M., Yagihashi, K., Huckleberry, J., Rho, B.-H., Schroeder, J., Strand, M. J., Schwarz, M. I., Flaherty, K. R., Kazerooni, E. A., van Beek, E. J. R., et al. (2017) · Radiology · doi:10.1148/radiol.2017161177 · Cited by 190 · see citing works
Using hyperpolarized 129 Xe MRI to quantify regional gas transfer in idiopathic pulmonary fibrosis
Wang, J. M., Robertson, S. H., Wang, Z., et al. (2017) · Thorax · doi:10.1136/thoraxjnl-2017-210070 · Cited by 162 · 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
Stewart, N. J., Leung, G., Norquay, G., Marshall, H., Parra‐Robles, J., Murphy, P. S., Schulte, R. F., Elliot, C. A., Condliffe, R., Griffiths, P. D., et al. (2014) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25400 · Cited by 95 · see citing works
Quantitative analysis of hyperpolarized 129 Xe gas transfer MRI
Wang, Z., Robertson, S. H., Wang, J. P., et al. (2017) · Medical Physics · doi:10.1002/mp.12264 · Cited by 94 · see citing works
Evaluating disease severity in idiopathic pulmonary fibrosis
Robbie, H., Daccord, C., Chua, F., & Devaraj, A. (2017) · European Respiratory Review · doi:10.1183/16000617.0051-2017 · Cited by 93 · see citing works
Zhu, X., Chan, M., Lustig, M., et al. (2019) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27998 · Cited by 80 · see citing works
Weatherley, 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
Mammarappallil, J. G., Rankine, L. J., Wild, J. M., & Driehuys, B. (2019) · Journal of Thoracic Imaging · doi:10.1097/rti.0000000000000392 · Cited by 63 · see citing works
Kim, G. H. J., Weigt, S. S., Belperio, J. A., Brown, M. S., Shi, Y., Lai, J. H., & Goldin, J. G. (2019) · European Radiology · doi:10.1007/s00330-019-06402-6 · Cited by 63 · see citing works
Zha, W., Niles, D. J., Kruger, S. J., et al. (2016) · Academic Radiology · doi:10.1016/j.acra.2016.04.005 · Cited by 38 · see citing works
Chan, H., Weatherley, N., Johns, C., et al. (2019) · Radiology · doi:10.1148/radiol.2019181714 · Cited by 35 · see citing works
Repeatability of regional pulmonary functional metrics of Hyperpolarized 129Xe dissolved‐phase MRI
Hahn, A. D., Kammerman, J., Evans, M. D., et al. (2019) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.26745 · Cited by 34 · see citing works
Self-citationPirfenidone in idiopathic pulmonary fibrosis: the CAPACITY program
Richeldi, L., & du Bois, R. M. (2011) · Expert Review of Respiratory Medicine · doi:10.1586/ers.11.52 · Cited by 29 · see citing works
Evaluation of Regional Lung Function in Pulmonary Fibrosis with Xenon-129 MRI
Mata, J. F., Guan, S., Qing, K., Tustison, N. J., Shim, Y. M., Mugler, J. P., Altes, T. A., Huaromo, J., & Mehrad, B. (2021) · Tomography · doi:10.3390/tomography7030039 · Cited by 26 · see citing works
Removal of hyperpolarized 129Xe gas‐phase contamination in spectroscopic imaging of the lungs
Hahn, A. D., Kammerman, J., & Fain, S. B. (2018) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27349 · Cited by 22 · see citing works
Self-citationKammerman, J., Hahn, A. D., Cadman, R. V., et al. (2020) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28246 · Cited by 20 · see citing works
Self-citationHahn, A. D., Malkus, A., Kammerman, J., et al. (2019) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28137 · Cited by 10 · see citing works
Self-citationInvited Commentary on “Quantitative CT Analysis of Diffuse Lung Disease”
Fain, S. B., Lynch, D. A., & Hatt, C. R. (2020) · Radiographics · doi:10.1148/rg.2020200005 · Cited by 3 · see citing works
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Research works printed but not linked: 2
- [4]King TE Jr, Pardo A, Selman M. Idiopathic pulmonary fibrosis. Lancet 2011;378(9807):1949–1961. [DOI] [PubMed] [Google Scholar]
- [16]Wang Z, Robertson SH, Wang J, et al. Quantitative analysis of hyperpolarized 129Xe gas transfer MRI. Med Phys 2017;44(6):2415–2428. [DOI] [PubMed] [Google Scholar]
Cited by
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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
- Authors
- Hahn, A. D., Carey, K. J., Barton, G. P., Torres, L. A., Kammerman, J., Cadman, R. V., Lee, K. E., Schiebler, M. L., Sandbo, N., & Fain, S. B.
- Affiliations
- University of Iowa (US)
- ORCID
- Venue
- Radiology
- Published
- 2022-12
- Volume
- 305
- Issue
- 3
- Pages
- 688-696
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- PMC
- PMC9713448
- OpenAlex
- W4288010166
- Cited by
- 33
- References
- 35
- Citations by year
- 2026: 12 · 2025: 8 · 2024: 5 · 2023: 8
- FWCI
- 3.39
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Radiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health/Office of Research Infrastructure Programs (S10 OD016394)
- National Institutes of Health/National Heart, Lung, and Blood Institute (R01HL126771, R01HL146689)
- 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 › Pulmonary and Respiratory Medicine › Chronic Obstructive Pulmonary Disease (COPD) Research
- Keywords
- idiopathic pulmonary fibrosis, hyperpolarized 129Xe MRI, pulmonary ventilation, pulmonary gas transfer, disease progression, forced vital capacity, diffusing capacity for carbon monoxide, pulmonary fibrosis, lung heterogeneity, lung perfusion imaging
- MeSH terms
- Aged, Female, Humans, Lung, Male, Middle Aged, Magnetic Resonance Spectroscopy, Prospective Studies, Respiratory Function Tests, Idiopathic Pulmonary Fibrosis
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