Abstract
The characteristics of contrast agent kinetics monitored by using dynamic contrast-enhanced MR imaging differ between asthmatic lungs and healthy lungs and are related to measurements of pulmonary function.
Purpose
To evaluate the contrast agent kinetics of dynamic contrast material–enhanced (DCE) magnetic resonance (MR) imaging in healthy lungs and asthmatic lungs by using non–model-based semiquantitative parameters and to explore the relationships with pulmonary function testing and eosinophil level.
Materials and Methods
The study was approved by the National Research Ethical Committee (reference no. 11/NW/0387), and written informed consent was obtained from all individuals. Ten healthy subjects and 30 patients with asthma underwent pulmonary function tests, blood and sputum eosinophil counts, and 1.5-T DCE MR imaging within 7 days. Semiquantitative parameters of contrast agent kinetics were calculated from the relative signal intensity–time course curves on a pixel-by-pixel basis and were summarized by using whole-lung median values. The distribution heterogeneity was assessed by using the regional coefficient of variation. DCE MR imaging readouts were compared between groups by using one-way analysis of variance, and the relationships with pulmonary function testing and eosinophil counts were assessed by using Pearson correlation analysis.
Results
Asthmatic patients showed significantly lower peak enhancement (P < .001) and initial areas under the relative signal intensity curve in the first 60 seconds (P = .002) and significantly reduced late-phase washout slope (P = .002) when compared with healthy control subjects. The distribution heterogeneity of bolus arrival time (P = .029), time to peak (P = .008), upslope of the first-pass peak (P = .011), and late-phase washout slope (P = .032), estimated by using the median coefficient of variation, were significantly higher in asthmatic patients than in healthy control subjects. These imaging readouts also showed significant linear correlations with measurements of pulmonary function testing but not with eosinophil level in patients with asthma.
Conclusion
The contrast agent kinetic characteristics of T1-weighted DCE MR images of asthmatic lungs are different from those of healthy lungs and are related to measurements of pulmonary function testing but not to eosinophil level.
© RSNA, 2015
References
- 1. . The airway vasculature: recent advances and clinical implications. Thorax 2009;64(5):444–450. Crossref, Medline, Google Scholar
- 2. . Airway vascular remodeling in asthma. Curr Allergy Asthma Rep 2003;3(2):153–158. Crossref, Medline, Google Scholar
- 3. . Quantitative and morphological analysis of the vascular bed in bronchial biopsy specimens from asthmatic and non-asthmatic subjects. Thorax 2001;56(12):902–906. Crossref, Medline, Google Scholar
- 4. . Structure-function correlations in asthma. In: Hamid Q, Shannon J, Martin J, eds. Physiological basis of respiratory disease. Hamilton, Ont, Canada: Decker, 2005; 105–114. Google Scholar
- 5. . Therapeutic perspectives in vascular remodeling in asthma and chronic obstructive pulmonary disease. Chem Immunol Allergy 2014;99:216–225. Crossref, Medline, Google Scholar
- 6. . Remodeling of extra-bronchial lung vasculature following allergic airway inflammation. Respir Res 2008;9:18. Crossref, Medline, Google Scholar
- 7. . Allergic airway inflammation initiates long-term vascular remodeling of the pulmonary circulation. Int Arch Allergy Immunol 2009;149(3):251–258. Crossref, Medline, Google Scholar
- 8. . Increased pulmonary capillary permeability in smokers as measured by DCE-MRI [abstr]. In: Proceedings of the Sixteenth Meeting of the International Society for Magnetic Resonance in Medicine. Berkeley, Calif: International Society for Magnetic Resonance in Medicine, 2008; 401. Google Scholar
- 9. . Assessment of pulmonary parenchyma perfusion with FAIR in comparison with DCE-MRI—initial results. Eur J Radiol 2009;70(1):41–48. Crossref, Medline, Google Scholar
- 10. . Pulmonary embolism: detection with MR perfusion imaging of lung—a feasibility study. Radiology 1997;203(1):181–185. Link, Google Scholar
- 11. . Quantitatively assessed dynamic contrast-enhanced magnetic resonance imaging in patients with chronic obstructive pulmonary disease: correlation of perfusion parameters with pulmonary function test and quantitative computed tomography. Invest Radiol 2008;43(6):403–410. Crossref, Medline, Google Scholar
- 12. . Quantitative and semiquantitative measures of regional pulmonary microvascular perfusion by magnetic resonance imaging and their relationships to global lung perfusion and lung diffusing capacity: the multiethnic study of atherosclerosis chronic obstructive pulmonary disease study. Invest Radiol 2013;48(4):223–230. Medline, Google Scholar
- 13. . Solitary pulmonary nodules: dynamic contrast-enhanced MR imaging—perfusion differences in malignant and benign lesions. Radiology 2004;232(2):544–553. Link, Google Scholar
- 14. . Perfusion magnetic resonance imaging of the lung: characterization of pneumonia and chronic obstructive pulmonary disease. A feasibility study. J Magn Reson Imaging 2000;12(2):224–231. Crossref, Medline, Google Scholar
- 15. . Modeling of contrast agent kinetics in the lung using T1-weighted dynamic contrast-enhanced MRI. Magn Reson Med 2009;61(6):1507–1514. Crossref, Medline, Google Scholar
- 16. . British Guideline on the Management of Asthma. Thorax 2008;63(Suppl 4):iv1–iv121. Crossref, Medline, Google Scholar
- 17. . Interpretative strategies for lung function tests. Eur Respir J 2005;26(5):948–968. Crossref, Medline, Google Scholar
- 18. . Induced sputum cell counts in healthy adults. Am J Respir Crit Care Med 2000;161(2 Pt 1):475–478. Crossref, Medline, Google Scholar
- 19. . Improved quantitative dynamic regional oxygen-enhanced pulmonary imaging using image registration. Magn Reson Med 2005;54(2):464–469. Crossref, Medline, Google Scholar
- 20. . A novel vessel segmentation technique based on clustering of dynamic first-pass MR imaging parameters [abstr]. In: Proceedings of the Sixteenth Meeting of the International Society for Magnetic Resonance in Medicine. Berkeley, Calif: International Society for Magnetic Resonance in Medicine, 2008; 630. Google Scholar
- 21. . An automatic approach for estimating bolus arrival time in dynamic contrast MRI using piecewise continuous regression models. Phys Med Biol 2003;48(5):N83–N88. Crossref, Medline, Google Scholar
- 22. . The difference in ventilation heterogeneity between asthmatic and healthy subjects quantified using hyperpolarized 3He MRI. J Appl Physiol (1985) 2009;106(3):813–822. Crossref, Medline, Google Scholar
- 23. . Hyperpolarized (3) He and (129) Xe MRI: differences in asthma before bronchodilation. J Magn Reson Imaging 2013;38(6):1521–1530. Crossref, Medline, Google Scholar
- 24. . Improved correlation to quantitative DCE-MRI pharmacokinetic parameters using a modified initial area under the uptake curve (mIAUC) approach. J Magn Reson Imaging 2009;30(4):864–872. Crossref, Medline, Google Scholar
- 25. . Evaluation of response to treatment using DCE-MRI: the relationship between initial area under the gadolinium curve (IAUGC) and quantitative pharmacokinetic analysis. Phys Med Biol 2006;51(14):3593–3602. Crossref, Medline, Google Scholar
- 26. . Dynamic contrast-enhanced MRI in clinical trials of antivascular therapies. Nat Rev Clin Oncol 2012;9(3):167–177. Crossref, Medline, Google Scholar
- 27. . Roles of plasma exudation in asthma and COPD. Clin Exp Allergy 2009;39(11):1626–1629. Crossref, Medline, Google Scholar
- 28. . Assessment of the lung microstructure in patients with asthma using hyperpolarized 3He diffusion MRI at two time scales: comparison with healthy subjects and patients with COPD. J Magn Reson Imaging 2008;28(1):80–88. Crossref, Medline, Google Scholar
- 29. . Distinguishing asthmatics from healthy subjects using hyperpolarized 3He MRI [abstr]. Am J Respir Crit Care Med 2009;179:A5582. Google Scholar
- 30. . Emergent structure-function relations in emphysema and asthma. Crit Rev Biomed Eng 2011;39(4):263–280. Crossref, Medline, Google Scholar
- 31. . What are ventilation defects in asthma? Thorax 2014;69(1):63–71. Crossref, Medline, Google Scholar
- 32. . Measuring contrast agent concentration in T1-weighted dynamic contrast-enhanced MRI. In: Jackson A, Buckley D, Parker G, eds. Dynamic contrast-enhanced magnetic resonance imaging in oncology. Berlin, Germany: Springer, 2005; 69–79. Crossref, Google Scholar
- 33. . Key factors in the acquisition of contrast kinetic data for oncology. J Magn Reson Imaging 1999;10(3):254–259. Crossref, Medline, Google Scholar
- 34. . Perfusion evaluation of lung cancer: assessment using dual-input perfusion computed tomography. J Thorac Imaging 2013;28(4):253–262. Crossref, Medline, Google Scholar
Article History
Received August 6, 2014; revision requested September 18; revision received May 4, 2015; accepted June 11; final version accepted August 3.Published online: Oct 20 2015
Published in print: Mar 2016