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 in | Journal of magnetic resonance imaging Vol. 50; no. 3; pp. 951 - 960 |
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Main Authors | , |
Format | Journal Article |
Language | English |
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. |
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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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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30681220$$D View this record in MEDLINE/PubMed |
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Copyright | Published 2019. This article is a U.S. Government work and is in the public domain in the USA. 2019 International Society for Magnetic Resonance in Medicine |
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Keywords | optimal labeling delay carotid artery velocity 3D EPI 3D PCASL arterial spin labeling |
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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)... |
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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 |
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