Determining the optimal postlabeling delay for arterial spin labeling using subject‐specific estimates of blood velocity in the carotid artery

Background Arterial spin labeling with 3D acquisition requires determining a single postlabeling delay (PLD) value. PLD affects the signal‐to‐noise ratio (SNR) per unit time as well as quantitative cerebral blood flow (CBF) values due to its bearing on the presence of a vascular signal. Purpose To s...

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Published inJournal of magnetic resonance imaging Vol. 50; no. 3; pp. 951 - 960
Main Authors Gai, Neville D., Butman, John A.
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 01.09.2019
Wiley Subscription Services, Inc
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Abstract Background Arterial spin labeling with 3D acquisition requires determining a single postlabeling delay (PLD) value. PLD affects the signal‐to‐noise ratio (SNR) per unit time as well as quantitative cerebral blood flow (CBF) values due to its bearing on the presence of a vascular signal. Purpose To search for an optimal PLD for pseudocontinuous arterial spin labeling (pCASL) using patient‐specific carotid artery blood velocity measurements. Study Type Prospective. Subjects A control group of 11 volunteers with no known pathology. Corroboration was through a separate group of six volunteers and a noncontrol group of five sickle cell disease (SCD) patients. Field Strength/Sequence Pseudocontinuous arterial spin labeling with 3D nonsegmented echo planar imaging acquisition at 3T. Assessment A perfusion‐based measure was determined over a range of PLDs for each of 11 volunteers. A third‐order polynomial was used to find the optimal PLD where the defined measure was maximum. This was plotted against the corresponding carotid artery velocity to determine a relationship between the perfusion measure and velocity. Corroboration was done using a group of six volunteers and a noncontrol group of five patients with SCD. PLD was determined from the carotid artery velocity and derived relationship and compared with optimal PLD obtained from measured perfusion over a range of PLD values. Error between the perfusion measure at predicted and measured optimal PLD was determined. Statistical Tests Chi‐squared goodness of fit; Pearson correlation; Bland–Altman. Results Carotid artery velocity was 63.8 ± 6.6 cm/s (53.1 ≤ v ≤ 72.3 cm/s) while optimal PLD was 1374 ± 226.5 msec (1102 ≤ PLD ≤ 1787 msec) across the 11 volunteers. PLD as a function of carotid velocity was determined to be PLD = −31.94. v + 3410 msec (Pearson correlation –0.93). In six volunteers, mean error between the perfusion measure at predicted and measured optimal PLD was 1.35%. Pearson correlation between the perfusion measure at the predicted PLD and the measure obtained experimentally was r = 0.96 (P < 0.001). Bland–Altman revealed a slight bias of 1.3%. For the test case of five SCD patients, the mean error was 1.3%. Data Conclusion Carotid artery velocity was used to determine optimal PLD for pCASL with 3D acquisition. The derived relationship was used to predict optimal PLD and the associated perfusion measure, which was found to be accurate when compared with its measured counterpart. Level of Evidence: 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;50:951–960.
AbstractList BackgroundArterial spin labeling with 3D acquisition requires determining a single postlabeling delay (PLD) value. PLD affects the signal‐to‐noise ratio (SNR) per unit time as well as quantitative cerebral blood flow (CBF) values due to its bearing on the presence of a vascular signal.PurposeTo search for an optimal PLD for pseudocontinuous arterial spin labeling (pCASL) using patient‐specific carotid artery blood velocity measurements.Study TypeProspective.SubjectsA control group of 11 volunteers with no known pathology. Corroboration was through a separate group of six volunteers and a noncontrol group of five sickle cell disease (SCD) patients.Field Strength/SequencePseudocontinuous arterial spin labeling with 3D nonsegmented echo planar imaging acquisition at 3T.AssessmentA perfusion‐based measure was determined over a range of PLDs for each of 11 volunteers. A third‐order polynomial was used to find the optimal PLD where the defined measure was maximum. This was plotted against the corresponding carotid artery velocity to determine a relationship between the perfusion measure and velocity. Corroboration was done using a group of six volunteers and a noncontrol group of five patients with SCD. PLD was determined from the carotid artery velocity and derived relationship and compared with optimal PLD obtained from measured perfusion over a range of PLD values. Error between the perfusion measure at predicted and measured optimal PLD was determined.Statistical TestsChi‐squared goodness of fit; Pearson correlation; Bland–Altman.ResultsCarotid artery velocity was 63.8 ± 6.6 cm/s (53.1 ≤ v ≤ 72.3 cm/s) while optimal PLD was 1374 ± 226.5 msec (1102 ≤ PLD ≤ 1787 msec) across the 11 volunteers. PLD as a function of carotid velocity was determined to be PLD = −31.94. v + 3410 msec (Pearson correlation –0.93). In six volunteers, mean error between the perfusion measure at predicted and measured optimal PLD was 1.35%. Pearson correlation between the perfusion measure at the predicted PLD and the measure obtained experimentally was r = 0.96 (P < 0.001). Bland–Altman revealed a slight bias of 1.3%. For the test case of five SCD patients, the mean error was 1.3%.Data ConclusionCarotid artery velocity was used to determine optimal PLD for pCASL with 3D acquisition. The derived relationship was used to predict optimal PLD and the associated perfusion measure, which was found to be accurate when compared with its measured counterpart.Level of Evidence: 2Technical Efficacy: Stage 1J. Magn. Reson. Imaging 2019;50:951–960.
Background Arterial spin labeling with 3D acquisition requires determining a single postlabeling delay (PLD) value. PLD affects the signal‐to‐noise ratio (SNR) per unit time as well as quantitative cerebral blood flow (CBF) values due to its bearing on the presence of a vascular signal. Purpose To search for an optimal PLD for pseudocontinuous arterial spin labeling (pCASL) using patient‐specific carotid artery blood velocity measurements. Study Type Prospective. Subjects A control group of 11 volunteers with no known pathology. Corroboration was through a separate group of six volunteers and a noncontrol group of five sickle cell disease (SCD) patients. Field Strength/Sequence Pseudocontinuous arterial spin labeling with 3D nonsegmented echo planar imaging acquisition at 3T. Assessment A perfusion‐based measure was determined over a range of PLDs for each of 11 volunteers. A third‐order polynomial was used to find the optimal PLD where the defined measure was maximum. This was plotted against the corresponding carotid artery velocity to determine a relationship between the perfusion measure and velocity. Corroboration was done using a group of six volunteers and a noncontrol group of five patients with SCD. PLD was determined from the carotid artery velocity and derived relationship and compared with optimal PLD obtained from measured perfusion over a range of PLD values. Error between the perfusion measure at predicted and measured optimal PLD was determined. Statistical Tests Chi‐squared goodness of fit; Pearson correlation; Bland–Altman. Results Carotid artery velocity was 63.8 ± 6.6 cm/s (53.1 ≤ v ≤ 72.3 cm/s) while optimal PLD was 1374 ± 226.5 msec (1102 ≤ PLD ≤ 1787 msec) across the 11 volunteers. PLD as a function of carotid velocity was determined to be PLD = −31.94. v + 3410 msec (Pearson correlation –0.93). In six volunteers, mean error between the perfusion measure at predicted and measured optimal PLD was 1.35%. Pearson correlation between the perfusion measure at the predicted PLD and the measure obtained experimentally was r = 0.96 (P < 0.001). Bland–Altman revealed a slight bias of 1.3%. For the test case of five SCD patients, the mean error was 1.3%. Data Conclusion Carotid artery velocity was used to determine optimal PLD for pCASL with 3D acquisition. The derived relationship was used to predict optimal PLD and the associated perfusion measure, which was found to be accurate when compared with its measured counterpart. Level of Evidence: 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;50:951–960.
Arterial spin labeling with 3D acquisition requires determining a single postlabeling delay (PLD) value. PLD affects the signal-to-noise ratio (SNR) per unit time as well as quantitative cerebral blood flow (CBF) values due to its bearing on the presence of a vascular signal.BACKGROUNDArterial spin labeling with 3D acquisition requires determining a single postlabeling delay (PLD) value. PLD affects the signal-to-noise ratio (SNR) per unit time as well as quantitative cerebral blood flow (CBF) values due to its bearing on the presence of a vascular signal.To search for an optimal PLD for pseudocontinuous arterial spin labeling (pCASL) using patient-specific carotid artery blood velocity measurements.PURPOSETo search for an optimal PLD for pseudocontinuous arterial spin labeling (pCASL) using patient-specific carotid artery blood velocity measurements.Prospective.STUDY TYPEProspective.A control group of 11 volunteers with no known pathology. Corroboration was through a separate group of six volunteers and a noncontrol group of five sickle cell disease (SCD) patients.SUBJECTSA control group of 11 volunteers with no known pathology. Corroboration was through a separate group of six volunteers and a noncontrol group of five sickle cell disease (SCD) patients.Pseudocontinuous arterial spin labeling with 3D nonsegmented echo planar imaging acquisition at 3T.FIELD STRENGTH/SEQUENCEPseudocontinuous arterial spin labeling with 3D nonsegmented echo planar imaging acquisition at 3T.A perfusion-based measure was determined over a range of PLDs for each of 11 volunteers. A third-order polynomial was used to find the optimal PLD where the defined measure was maximum. This was plotted against the corresponding carotid artery velocity to determine a relationship between the perfusion measure and velocity. Corroboration was done using a group of six volunteers and a noncontrol group of five patients with SCD. PLD was determined from the carotid artery velocity and derived relationship and compared with optimal PLD obtained from measured perfusion over a range of PLD values. Error between the perfusion measure at predicted and measured optimal PLD was determined.ASSESSMENTA perfusion-based measure was determined over a range of PLDs for each of 11 volunteers. A third-order polynomial was used to find the optimal PLD where the defined measure was maximum. This was plotted against the corresponding carotid artery velocity to determine a relationship between the perfusion measure and velocity. Corroboration was done using a group of six volunteers and a noncontrol group of five patients with SCD. PLD was determined from the carotid artery velocity and derived relationship and compared with optimal PLD obtained from measured perfusion over a range of PLD values. Error between the perfusion measure at predicted and measured optimal PLD was determined.Chi-squared goodness of fit; Pearson correlation; Bland-Altman.STATISTICAL TESTSChi-squared goodness of fit; Pearson correlation; Bland-Altman.Carotid artery velocity was 63.8 ± 6.6 cm/s (53.1 ≤ v ≤ 72.3 cm/s) while optimal PLD was 1374 ± 226.5 msec (1102 ≤ PLD ≤ 1787 msec) across the 11 volunteers. PLD as a function of carotid velocity was determined to be PLD = -31.94. v + 3410 msec (Pearson correlation -0.93). In six volunteers, mean error between the perfusion measure at predicted and measured optimal PLD was 1.35%. Pearson correlation between the perfusion measure at the predicted PLD and the measure obtained experimentally was r = 0.96 (P < 0.001). Bland-Altman revealed a slight bias of 1.3%. For the test case of five SCD patients, the mean error was 1.3%.RESULTSCarotid artery velocity was 63.8 ± 6.6 cm/s (53.1 ≤ v ≤ 72.3 cm/s) while optimal PLD was 1374 ± 226.5 msec (1102 ≤ PLD ≤ 1787 msec) across the 11 volunteers. PLD as a function of carotid velocity was determined to be PLD = -31.94. v + 3410 msec (Pearson correlation -0.93). In six volunteers, mean error between the perfusion measure at predicted and measured optimal PLD was 1.35%. Pearson correlation between the perfusion measure at the predicted PLD and the measure obtained experimentally was r = 0.96 (P < 0.001). Bland-Altman revealed a slight bias of 1.3%. For the test case of five SCD patients, the mean error was 1.3%.Carotid artery velocity was used to determine optimal PLD for pCASL with 3D acquisition. The derived relationship was used to predict optimal PLD and the associated perfusion measure, which was found to be accurate when compared with its measured counterpart.DATA CONCLUSIONCarotid artery velocity was used to determine optimal PLD for pCASL with 3D acquisition. The derived relationship was used to predict optimal PLD and the associated perfusion measure, which was found to be accurate when compared with its measured counterpart.2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;50:951-960.LEVEL OF EVIDENCE2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;50:951-960.
Arterial spin labeling with 3D acquisition requires determining a single postlabeling delay (PLD) value. PLD affects the signal-to-noise ratio (SNR) per unit time as well as quantitative cerebral blood flow (CBF) values due to its bearing on the presence of a vascular signal. To search for an optimal PLD for pseudocontinuous arterial spin labeling (pCASL) using patient-specific carotid artery blood velocity measurements. Prospective. A control group of 11 volunteers with no known pathology. Corroboration was through a separate group of six volunteers and a noncontrol group of five sickle cell disease (SCD) patients. Pseudocontinuous arterial spin labeling with 3D nonsegmented echo planar imaging acquisition at 3T. A perfusion-based measure was determined over a range of PLDs for each of 11 volunteers. A third-order polynomial was used to find the optimal PLD where the defined measure was maximum. This was plotted against the corresponding carotid artery velocity to determine a relationship between the perfusion measure and velocity. Corroboration was done using a group of six volunteers and a noncontrol group of five patients with SCD. PLD was determined from the carotid artery velocity and derived relationship and compared with optimal PLD obtained from measured perfusion over a range of PLD values. Error between the perfusion measure at predicted and measured optimal PLD was determined. Chi-squared goodness of fit; Pearson correlation; Bland-Altman. Carotid artery velocity was 63.8 ± 6.6 cm/s (53.1 ≤ v ≤ 72.3 cm/s) while optimal PLD was 1374 ± 226.5 msec (1102 ≤ PLD ≤ 1787 msec) across the 11 volunteers. PLD as a function of carotid velocity was determined to be PLD = -31.94. v + 3410 msec (Pearson correlation -0.93). In six volunteers, mean error between the perfusion measure at predicted and measured optimal PLD was 1.35%. Pearson correlation between the perfusion measure at the predicted PLD and the measure obtained experimentally was r = 0.96 (P < 0.001). Bland-Altman revealed a slight bias of 1.3%. For the test case of five SCD patients, the mean error was 1.3%. Carotid artery velocity was used to determine optimal PLD for pCASL with 3D acquisition. The derived relationship was used to predict optimal PLD and the associated perfusion measure, which was found to be accurate when compared with its measured counterpart. 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;50:951-960.
Author Butman, John A.
Gai, Neville D.
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Keywords optimal labeling delay
carotid artery velocity
3D EPI
3D PCASL
arterial spin labeling
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SSID ssj0009945
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Snippet Background Arterial spin labeling with 3D acquisition requires determining a single postlabeling delay (PLD) value. PLD affects the signal‐to‐noise ratio (SNR)...
Arterial spin labeling with 3D acquisition requires determining a single postlabeling delay (PLD) value. PLD affects the signal-to-noise ratio (SNR) per unit...
BackgroundArterial spin labeling with 3D acquisition requires determining a single postlabeling delay (PLD) value. PLD affects the signal‐to‐noise ratio (SNR)...
SourceID pubmedcentral
proquest
pubmed
crossref
wiley
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 951
SubjectTerms 3D EPI
3D PCASL
Adult
Anemia, Sickle Cell - physiopathology
arterial spin labeling
Blood flow
Carotid arteries
Carotid Arteries - diagnostic imaging
Carotid Arteries - physiopathology
Carotid artery
carotid artery velocity
Cerebral blood flow
Cerebrovascular Circulation - physiology
Correlation analysis
Delay
Echo-Planar Imaging - methods
Error analysis
Female
Field strength
Goodness of fit
Humans
Imaging, Three-Dimensional - methods
Labeling
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Male
Medical imaging
Middle Aged
optimal labeling delay
Perfusion
Polynomials
Prospective Studies
Sickle cell disease
Signal-To-Noise Ratio
Spin labeling
Spin Labels
Statistical analysis
Statistical tests
Veins & arteries
Velocity
Young Adult
Title Determining the optimal postlabeling delay for arterial spin labeling using subject‐specific estimates of blood velocity in the carotid artery
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fjmri.26670
https://www.ncbi.nlm.nih.gov/pubmed/30681220
https://www.proquest.com/docview/2272173181
https://www.proquest.com/docview/2179456358
https://pubmed.ncbi.nlm.nih.gov/PMC8451447
Volume 50
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