Imaging Pulmonary Blood Flow Using Pseudocontinuous Arterial Spin Labeling (PCASL) With Balanced Steady-State Free-Precession (bSSFP) Readout at 1.5T.
1.5T
PCASL
balanced SSFP
lung perfusion
pulmonary blood flow
Journal
Journal of magnetic resonance imaging : JMRI
ISSN: 1522-2586
Titre abrégé: J Magn Reson Imaging
Pays: United States
ID NLM: 9105850
Informations de publication
Date de publication:
12 2020
12 2020
Historique:
received:
17
09
2019
revised:
13
06
2020
accepted:
15
06
2020
pubmed:
7
7
2020
medline:
15
5
2021
entrez:
7
7
2020
Statut:
ppublish
Résumé
Quantitative assessment of pulmonary blood flow and visualization of its temporal and spatial distribution without contrast media is of clinical significance. To assess the potential of electrocardiogram (ECG)-triggered pseudocontinuous arterial spin labeling (PCASL) imaging with balanced steady-state free-precession (bSSFP) readout to measure lung perfusion under free-breathing (FB) conditions and to study temporal and spatial characteristics of pulmonary blood flow. Prospective, observational. Fourteen volunteers; three patients with pulmonary embolism. 1.5T, PCASL-bSSFP. The pulmonary trunk was labeled during systole. The following examinations were performed: 1) FB and timed breath-hold (TBH) examinations with a postlabeling delay (PLD) of 1000 msec, and 2) TBH examinations with multiple PLDs (100-1500 msec). Scan-rescan measurements were performed in four volunteers and one patient. Images were registered and the perfusion was evaluated in large vessels, small vessels, and parenchyma. Mean structural similarity indices (MSSIM) was computed and time-to-peak (TTP) of parenchymal perfusion in multiple PLDs was evaluated. Image quality reading was performed with three independent blinded readers. Wilcoxon test to compare MSSIM, perfusion, and Likert scores. Spearman's correlation to correlate TTP and cardiac cycle duration. The repeatability coefficient (RC) and within-subject coefficient of variation (wCV) for scan-rescan measurements. Intraclass correlation coefficient (ICC) for interreader agreement. Image registration resulted in a significant (P < 0.05) increase of MSSIM. FB perfusion values were 6% higher than TBH (3.28 ± 1.09 vs. 3.10 ± 0.99 mL/min/mL). TTP was highly correlated with individuals' cardiac cycle duration (Spearman = 0.89, P < 0.001). RC and wCV were better for TBH than FB (0.13-0.19 vs. 0.47-1.54 mL/min/mL; 6-7 vs. 19-60%). Image quality was rated very good, with ICCs 0.71-0.89. ECG-triggered PCASL-bSSFP imaging of the lung at 1.5T can provide very good image quality and quantitative perfusion maps even under FB. The course of labeled blood through the lung shows a strong dependence on the individuals' cardiac cycle duration. 2 TECHNICAL EFFICACY STAGE: 2 J. MAGN. RESON. IMAGING 2020;52:1767-1782.
Sections du résumé
BACKGROUND
Quantitative assessment of pulmonary blood flow and visualization of its temporal and spatial distribution without contrast media is of clinical significance.
PURPOSE
To assess the potential of electrocardiogram (ECG)-triggered pseudocontinuous arterial spin labeling (PCASL) imaging with balanced steady-state free-precession (bSSFP) readout to measure lung perfusion under free-breathing (FB) conditions and to study temporal and spatial characteristics of pulmonary blood flow.
STUDY TYPE
Prospective, observational.
SUBJECTS
Fourteen volunteers; three patients with pulmonary embolism.
FIELD STRENGTH/SEQUENCES
1.5T, PCASL-bSSFP.
ASSESSMENT
The pulmonary trunk was labeled during systole. The following examinations were performed: 1) FB and timed breath-hold (TBH) examinations with a postlabeling delay (PLD) of 1000 msec, and 2) TBH examinations with multiple PLDs (100-1500 msec). Scan-rescan measurements were performed in four volunteers and one patient. Images were registered and the perfusion was evaluated in large vessels, small vessels, and parenchyma. Mean structural similarity indices (MSSIM) was computed and time-to-peak (TTP) of parenchymal perfusion in multiple PLDs was evaluated. Image quality reading was performed with three independent blinded readers.
STATISTICAL TESTS
Wilcoxon test to compare MSSIM, perfusion, and Likert scores. Spearman's correlation to correlate TTP and cardiac cycle duration. The repeatability coefficient (RC) and within-subject coefficient of variation (wCV) for scan-rescan measurements. Intraclass correlation coefficient (ICC) for interreader agreement.
RESULTS
Image registration resulted in a significant (P < 0.05) increase of MSSIM. FB perfusion values were 6% higher than TBH (3.28 ± 1.09 vs. 3.10 ± 0.99 mL/min/mL). TTP was highly correlated with individuals' cardiac cycle duration (Spearman = 0.89, P < 0.001). RC and wCV were better for TBH than FB (0.13-0.19 vs. 0.47-1.54 mL/min/mL; 6-7 vs. 19-60%). Image quality was rated very good, with ICCs 0.71-0.89.
DATA CONCLUSION
ECG-triggered PCASL-bSSFP imaging of the lung at 1.5T can provide very good image quality and quantitative perfusion maps even under FB. The course of labeled blood through the lung shows a strong dependence on the individuals' cardiac cycle duration.
LEVEL OF EVIDENCE
2 TECHNICAL EFFICACY STAGE: 2 J. MAGN. RESON. IMAGING 2020;52:1767-1782.
Substances chimiques
Spin Labels
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1767-1782Informations de copyright
© 2020 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals LLC. on behalf of International Society for Magnetic Resonance in Medicine.
Références
Ohno Y, Koyama H, Nogami M, et al. Dynamic perfusion MRI: Capability for evaluation of disease severity and progression of pulmonary arterial hypertension in patients with connective tissue disease. J Magn Reson Imaging 2008;28(4):887-899.
Tsuchiya N, Yamashiro T, Murayama S. Decrease of pulmonary blood flow detected by phase contrast MRI is correlated with a decrease in lung volume and increase of lung fibrosis area determined by computed tomography in interstitial lung disease. Eur J Radiol 2016;85:1581-1585.
Sauter AW, Winterstein S, Spira D, et al. Multifunctional profiling of non-small cell lung cancer using 18F-FDG PET/CT and volume perfusion CT. J Nucl Med 2012;53:521-529.
Thieme SF, Hoegl S, Nikolaou K, et al. Pulmonary ventilation and perfusion imaging with dual-energy CT. Eur Radiol 2010;20:2882-2889.
Parker JA, Coleman RE, Grady E, et al. SNM practice guideline for lung scintigraphy 4.0. J Nucl Med Technol 2012;40:57-65.
Hueper K, Parikh MA, Prince MR, et al. 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;48:223-230.
Nikolaou K, Schoenberg SO, Brix G, et al. Quantification of pulmonary blood flow and volume in healthy volunteers by dynamic contrast-enhanced magnetic resonance imaging using a parallel imaging technique. Invest Radiol 2004;39:537-545.
Risse F, Semmler W, Kauczor HU, Fink C. Dual-bolus approach to quantitative measurement of pulmonary perfusion by contrast-enhanced MRI. J Magn Reson Imaging 2006;24:1284-1290.
Galiè N, Humbert M, Vachiery JL, et al. 2015 ESC/ERS guidelines for the diagnosis and treatment of pulmonary hypertension. Rev Esp Cardiol (Engl Ed) 2016;69:177.
Kanda T, Ishii K, Kawaguchi H, Kitajima K, Takenaka D. High signal intensity in the dentate nucleus and globus pallidus on unenhanced T1-weighted MR images: Relationship with increasing cumulative dose of a gadolinium-based contrast material. Radiology 2014;270(3):834-884.
Bauman G, Puderbach M, Deimling M, et al. Non-contrast-enhanced perfusion and ventilation assessment of the human lung by means of Fourier decomposition in proton MRI. Magn Reson Med 2009;62:656-664.
Voskrebenzev A, Gutberlet M, Klimeš F, et al. 2017 feasibility of quantitative regional ventilation and perfusion mapping with phase-resolved functional lung (PREFUL) MRI in healthy volunteers and COPD, CTEPH, and CF patients. Magn Reson Med 2017;79(4):2306-2314.
Detre JA, Leigh JS, Williams DS, Koretsky AP. Perfusion imaging. Magn Reson Med 1992;23:37-45.
Williams DS, Detre JA, Leigh JS, Koretsky AP. Magnetic resonance imaging of perfusion using spin inversion of arterial water. Proc Natl Acad Sci U S A 1992;89:212-216.
Mai VM, Berr SS. MR perfusion imaging of pulmonary parenchyma using pulsed arterial spin labeling techniques: FAIRER and FAIR. J Magn Reson Imaging 1999;9:483-487.
Bolar DS, Levin DL, Hopkins SR, et al. Quantification of regional pulmonary blood flow using ASL-FAIRER. Magn Reson Med 2006;55:1308-1317.
Dai W, Garcia D, de Bazelaire C, Alsop DC. Continuous flow-driven inversion for arterial spin labeling using pulsed radio frequency and gradient fields. Magn Reson Med 2008;60:1488-1497.
Greer JS, Zhang Y, Pedrosa I, Madhuranthakam AJ. Non-contrast pulmonary perfusion using pseudo-continuous arterial spin labeling of the inferior vena cava. Proc 23rd Annual Meeting ISMRM. Toronto: ISMRM meeting 2015;2015 (abstract 534).
Martirosian P, Pohmann R, Schwartz M, et al. Measurement of lung perfusion using optimized pseudo-continuous arterial spin labeling of pulmonary arteries and fast true-FISP imaging at 3 Tesla. Proc 25th Annual Meeting ISMRM. Honolulu: ISMRM meeting 2017; ; 2017 (abstract 1889).
Bieri O. Ultra-fast steady state free precession and its application to in vivo 1H morphological and functional lung imaging at 1.5 Tesla. Magn Reson Med 2013;70:657-663.
Martirosian P, Boss A, Fenchel M, et al. Quantitative lung perfusion mapping at 0.2 T using FAIR true-FISP MRI. Magn Reson Med 2006;55:1065-1074.
Pohmann R, Budde J, Auerbach EJ, Adriany G, Uğurbil K. Theoretical and experimental evaluation of continuous arterial spin labeling techniques. Magn Reson Med 2010;63:438-446.
Dixon WT, Sardashti M, Castillo M, Stomp GP. Multiple inversion recovery reduces static tissue signal in angiograms. Magn Reson Med 1991;18:257-268.
Robson PM, Madhuranthakam AJ, Dai W, Pedrosa I, Rofsky NM, Alsop DC. Strategies for reducing respiratory motion artifacts in renal perfusion imaging with arterial spin labeling. Magn Reson Med 2009;61:1374-1387.
Klein S, Staring M, Murphy K, Viergever MA, Pluim JP. Elastix: A toolbox for intensity based medical image registration. IEEE Trans Med Imaging 2010;29:196-205.
Shamonin DP, Bron EE, Lelieveldt BPF, Smits M, Klein S, Staring M. Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease. Front Neuroinform 2014;7:50.
Thévenaz P, Unser M. Optimization of mutual information for multiresolution image registration. IEEE Trans Image Process 2000;9:2083-2099.
Wang Z, Bovik AC, Sheikh HR, Simoncelli EP. Image quality assessment: From error visibility to structural similarity. IEEE Trans Image Process 2004;13:600-612.
Walker SC, Asadi AK, Hopkins SR, Buxton RB, Prisk GK. A statistical clustering approach to discriminating perfusion from conduit vessel signal contributions in a pulmonary ASL MR image. NMR Biomed 2015;28:1117-1124.
Alsop DC, Detre JA. Reduced transit-time sensitivity in noninvasive magnetic resonance imaging of human cerebral blood flow. J Cereb Blood Flow Metab 1996;16:1236-1249.
Buxton RB, Frank LR, Wong EC, Siewert B, Warach S, Edelman RR. A general kinetic model for quantitative perfusion imaging with arterial spin labeling. Magn Reson Med 1998;40:383-396.
Alsop DC, Detre JA, Golay X, et al. Recommended implementation of arterial spin-labeled perfusion MRI for clinical applications: A consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia. Magn Reson Med 2015;73:102-116.
Zhang X, Petersen ET, Ghariq E, et al. In vivo blood T1 measurements at 1.5 T, 3 T, and 7 T. Magn Reson Med 2013;70:1082-1086.
Galbraith SM, Lodge MA, Taylor NJ, et al. Reproducibility of dynamic contrast-enhanced MRI in human muscle and tumours: Comparison of quantitative and semi-quantitative analysis. NMR Biomed 2002;15:132-142.
West J. Respiratory physiology -The essentials. 5th ed. Baltimore: Williams & Wilkins; 1995. p 39-43.
Henderson AC, Priska GK, Levin DL, Hopkins SR, Buxton RB. Characterizing pulmonary blood flow distribution measured using arterial spin labeling. NMR Biomed 2009;22:1025-1035.
Greer JS, Maroules CD, Oz OK, et al. Non-contrast quantitative pulmonary perfusion using flow alternating inversion recovery at 3T: A preliminary study. Magn Reson Imaging 2018;46:106-113.
Brudin LH, Rhodes CG, Valind SO, Wollmer P, Hughes JM. Regional lung density and blood volume in nonsmoking and smoking subjects measured by PET. J Appl Physiol 1987;63:1324-1334.
Ley S, Puderbach M, Risse F, et al. Impact of oxygen inhalation on the pulmonary circulation: Assessment by magnetic resonance (MR)-perfusion and MR-flow measurements. Invest Radiol 2007;42:283-290.
Hatabu H, Tadamura E, Levin DL, et al. Quantitative assessment of pulmonary perfusion with dynamic contrast-enhanced MRI. Magn Reson Med 1999;42:1033-1038.
Cavuşoğlu M, Pfeuffer J, Uğurbil K, Uludağ K. Comparison of pulsed arterial spin labeling encoding schemes and absolute perfusion quantification. Magn Reson Imaging 2009;27:1039-1045.