Non-contrast hemodynamic imaging of Moyamoya disease with MR fingerprinting ASL: A feasibility study
MR Fingerprinting (MRF) Arterial Spin Labeling (ASL) is a non-contrast technique to estimate multiple brain hemodynamic and structural parameters in a single scan. The purpose of this study is to examine the feasibility and initial utility of MRF-ASL in Moyamoya disease. MRF-ASL, conventional single...
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Published in | Magnetic resonance imaging Vol. 88; pp. 116 - 122 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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01.05.2022
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Abstract | MR Fingerprinting (MRF) Arterial Spin Labeling (ASL) is a non-contrast technique to estimate multiple brain hemodynamic and structural parameters in a single scan. The purpose of this study is to examine the feasibility and initial utility of MRF-ASL in Moyamoya disease.
MRF-ASL, conventional single-delay ASL, Time-of-flight (TOF) MR angiography, and contrast-based dynamic-susceptibility-contrast (DSC) MRI were prospectively collected from a group of Moyamoya patients in North America (N = 21, 4 men and 17 women). Sixteen healthy subjects (7 men and 9 women) also underwent an MRF-ASL scan. Cerebral blood flow (CBF), bolus arrival time (BAT), and tissue T1 were compared between Moyamoya patients and healthy controls. Perfusion parameters from MRF-ASL were compared to those from other MRI sequences. Multi-linear regression was used for comparisons of parameter values between Moyamoya and control groups. Linear mixed-effects models was used when comparing MRF-ASL to PCASL and DSC parameters. Spearman's Rank Correlation Coefficient was calculated when comparing MRF-ASL to and MRA grades. A P value of 0.05 or less was considered significant.
BAT in stenotic internal carotid artery (ICA) territories was prolonged (P < 0.001) in Moyamoya patients, when compared with healthy controls. CBF in stenotic ICA territories of Moyamoya patients was not different from CBF in healthy controls; but in the PCA territories, CBF in Moyamoya patients was higher (P < 0.01) than controls. Quantitative T1 values in the stenotic ICA territories was longer (P < 0.05) than that in controls. Hemodynamic parameters estimated from MRF-ASL were significantly correlated with single-delay ASL and DSC. Longer BAT was associated with more severe intracranial artery stenosis in ICA.
MRF-ASL is a promising technique to assess perfusion and structural abnormalities in Moyamoya patients. |
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AbstractList | MR Fingerprinting (MRF) Arterial Spin Labeling (ASL) is a non-contrast technique to estimate multiple brain hemodynamic and structural parameters in a single scan. The purpose of this study is to examine the feasibility and initial utility of MRF-ASL in Moyamoya disease.
MRF-ASL, conventional single-delay ASL, Time-of-flight (TOF) MR angiography, and contrast-based dynamic-susceptibility-contrast (DSC) MRI were prospectively collected from a group of Moyamoya patients in North America (N = 21, 4 men and 17 women). Sixteen healthy subjects (7 men and 9 women) also underwent an MRF-ASL scan. Cerebral blood flow (CBF), bolus arrival time (BAT), and tissue T1 were compared between Moyamoya patients and healthy controls. Perfusion parameters from MRF-ASL were compared to those from other MRI sequences. Multi-linear regression was used for comparisons of parameter values between Moyamoya and control groups. Linear mixed-effects models was used when comparing MRF-ASL to PCASL and DSC parameters. Spearman's Rank Correlation Coefficient was calculated when comparing MRF-ASL to and MRA grades. A P value of 0.05 or less was considered significant.
BAT in stenotic internal carotid artery (ICA) territories was prolonged (P < 0.001) in Moyamoya patients, when compared with healthy controls. CBF in stenotic ICA territories of Moyamoya patients was not different from CBF in healthy controls; but in the PCA territories, CBF in Moyamoya patients was higher (P < 0.01) than controls. Quantitative T1 values in the stenotic ICA territories was longer (P < 0.05) than that in controls. Hemodynamic parameters estimated from MRF-ASL were significantly correlated with single-delay ASL and DSC. Longer BAT was associated with more severe intracranial artery stenosis in ICA.
MRF-ASL is a promising technique to assess perfusion and structural abnormalities in Moyamoya patients. MR Fingerprinting (MRF) Arterial Spin Labeling (ASL) is a non-contrast technique to estimate multiple brain hemodynamic and structural parameters in a single scan. The purpose of this study is to examine the feasibility and initial utility of MRF-ASL in Moyamoya disease.PURPOSEMR Fingerprinting (MRF) Arterial Spin Labeling (ASL) is a non-contrast technique to estimate multiple brain hemodynamic and structural parameters in a single scan. The purpose of this study is to examine the feasibility and initial utility of MRF-ASL in Moyamoya disease.MRF-ASL, conventional single-delay ASL, Time-of-flight (TOF) MR angiography, and contrast-based dynamic-susceptibility-contrast (DSC) MRI were prospectively collected from a group of Moyamoya patients in North America (N = 21, 4 men and 17 women). Sixteen healthy subjects (7 men and 9 women) also underwent an MRF-ASL scan. Cerebral blood flow (CBF), bolus arrival time (BAT), and tissue T1 were compared between Moyamoya patients and healthy controls. Perfusion parameters from MRF-ASL were compared to those from other MRI sequences. Multi-linear regression was used for comparisons of parameter values between Moyamoya and control groups. Linear mixed-effects models was used when comparing MRF-ASL to PCASL and DSC parameters. Spearman's Rank Correlation Coefficient was calculated when comparing MRF-ASL to and MRA grades. A P value of 0.05 or less was considered significant.METHODSMRF-ASL, conventional single-delay ASL, Time-of-flight (TOF) MR angiography, and contrast-based dynamic-susceptibility-contrast (DSC) MRI were prospectively collected from a group of Moyamoya patients in North America (N = 21, 4 men and 17 women). Sixteen healthy subjects (7 men and 9 women) also underwent an MRF-ASL scan. Cerebral blood flow (CBF), bolus arrival time (BAT), and tissue T1 were compared between Moyamoya patients and healthy controls. Perfusion parameters from MRF-ASL were compared to those from other MRI sequences. Multi-linear regression was used for comparisons of parameter values between Moyamoya and control groups. Linear mixed-effects models was used when comparing MRF-ASL to PCASL and DSC parameters. Spearman's Rank Correlation Coefficient was calculated when comparing MRF-ASL to and MRA grades. A P value of 0.05 or less was considered significant.BAT in stenotic internal carotid artery (ICA) territories was prolonged (P < 0.001) in Moyamoya patients, when compared with healthy controls. CBF in stenotic ICA territories of Moyamoya patients was not different from CBF in healthy controls; but in the PCA territories, CBF in Moyamoya patients was higher (P < 0.01) than controls. Quantitative T1 values in the stenotic ICA territories was longer (P < 0.05) than that in controls. Hemodynamic parameters estimated from MRF-ASL were significantly correlated with single-delay ASL and DSC. Longer BAT was associated with more severe intracranial artery stenosis in ICA.RESULTSBAT in stenotic internal carotid artery (ICA) territories was prolonged (P < 0.001) in Moyamoya patients, when compared with healthy controls. CBF in stenotic ICA territories of Moyamoya patients was not different from CBF in healthy controls; but in the PCA territories, CBF in Moyamoya patients was higher (P < 0.01) than controls. Quantitative T1 values in the stenotic ICA territories was longer (P < 0.05) than that in controls. Hemodynamic parameters estimated from MRF-ASL were significantly correlated with single-delay ASL and DSC. Longer BAT was associated with more severe intracranial artery stenosis in ICA.MRF-ASL is a promising technique to assess perfusion and structural abnormalities in Moyamoya patients.CONCLUSIONSMRF-ASL is a promising technique to assess perfusion and structural abnormalities in Moyamoya patients. |
Author | Welch, Babu G. Liu, Peiying Qiao, Ye Lu, Hanzhang Pinho, Marco C. Thomas, Binu P. Huang, Judy Su, Pan |
AuthorAffiliation | 4 Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA 6 Department of Neurosurgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA 2 Graduate School of Biomedical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, USA 8 Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA 5 Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA 3 Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA 7 F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, Maryland, USA 1 The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA |
AuthorAffiliation_xml | – name: 2 Graduate School of Biomedical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, USA – name: 3 Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA – name: 7 F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, Maryland, USA – name: 1 The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA – name: 6 Department of Neurosurgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA – name: 8 Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA – name: 4 Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA – name: 5 Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA |
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Keywords | MRF Moyamoya disease CBF ICA MCA PCA Internal carotid artery stenosis BAT Arterial spin labeling Magnetic resonance fingerprinting ASL Cerebrovascular disease ACA |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Peiying Liu: Data Curation, Formal Analysis, Methodology, Writing- Review & Editing. Pan Su: Formal Analysis, Methodology, Software, Visualization, Writing- Original Draft. Babu G. Welch: Data Curation, Resources, Writing- Review & Editing. Marco C. Pinho: Conceptualization, Data Curation, Methodology, Resources, Writing- Review & Editing. Binu P. Thomas: Data Curation, Formal Analysis, Methodology, Resources, Writing- Review & Editing. Ye Qiao: Data Curation, Resources, Software, Validation, Writing- Review & Editing. Judy Huang: Data Curation, Resources, Writing- Review & Editing. Hanzhang Lu: Conceptualization, Funding Acquisition, Investigation, Project Administration, Resources, Supervision, Writing- Review & Editing. |
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SubjectTerms | Arterial spin labeling Arteries Cerebrovascular Circulation - physiology Cerebrovascular disease Feasibility Studies Female Hemodynamics Humans Internal carotid artery stenosis Magnetic Resonance Angiography - methods Magnetic resonance fingerprinting Magnetic Resonance Imaging - methods Male Moyamoya disease Moyamoya Disease - diagnostic imaging Spin Labels |
Title | Non-contrast hemodynamic imaging of Moyamoya disease with MR fingerprinting ASL: A feasibility study |
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