The value of a shorter-delay arterial spin labeling protocol for detecting cerebrovascular impairment.

Arterial spin labeling (ASL) blood oxygen level dependent cerebrovascular reactivity (BOLD CVR) post labeling delay (PLD)

Journal

Quantitative imaging in medicine and surgery
ISSN: 2223-4292
Titre abrégé: Quant Imaging Med Surg
Pays: China
ID NLM: 101577942

Informations de publication

Date de publication:
Feb 2021
Historique:
entrez: 3 2 2021
pubmed: 4 2 2021
medline: 4 2 2021
Statut: ppublish

Résumé

The aim of this study was to determine the relationship between blood oxygen level dependent (BOLD) cerebrovascular reactivity (CVR) and cerebral blood flow (CBF) obtained from arterial spin labeling (ASL) using different post labeling delays (PLD). Forty-two patients with steno-occlusive diseases and impaired CVR were divided into two groups, one scanned with a 1.5-second (1.5-s) and the other with a 2.5-second (2.5-s) PLD ASL protocol. For all patients, a region of interest (ROI) was drawn around the CVR impairment. This affected ROI was then left-right flipped across the brain midline to obtain the control ROI. For both groups, the difference in grey matter CVR between affected and control ROI was first tested to confirm significance. The average grey matter CBF of affected and control ROIs were then compared. The same analysis method was used to compare affected and control hemispheres. In both groups of 1.5-s and 2.5-s PLD, CVR values in the affected ROI (-0.049±0.055 and -0.042±0.074%/mmHg, respectively) were significantly lower compared to that in the control ROI (0.152±0.054 and 0.152±0.053%/mmHg, respectively, P<0.0001). In the group with the 1.5-s PLD, CBF in the affected ROI (37.62±11.37 mL/100 g/min) was significantly lower compared to CBF in the control ROI (44.13±11.58 mL/100 g/min, P<0.05). However, in the group with the 2.5-s PLD, no significant differences could be seen between CBF in the affected ROI (40.50±14.82 mL/100 g/min) and CBF in the control ROI (39.68±12.49 mL/100 g/min, P=0.73). In the hemisphere-based analysis, CBF was significantly lower in the affected side than in the control side for the group with the 1.5-s PLD (P<0.05) when CVR was impaired (P<0.0001), but not for the group with the 2.5-s PLD (P=0.49). In conclusion, our study reveals and highlights the value of a shorter-PLD ASL protocol, which is able to reflect CVR impairment. At the same time, we offer a better understanding of the relationship between BOLD CVR and CBF obtained from ASL.

Sections du résumé

BACKGROUND BACKGROUND
The aim of this study was to determine the relationship between blood oxygen level dependent (BOLD) cerebrovascular reactivity (CVR) and cerebral blood flow (CBF) obtained from arterial spin labeling (ASL) using different post labeling delays (PLD).
METHODS METHODS
Forty-two patients with steno-occlusive diseases and impaired CVR were divided into two groups, one scanned with a 1.5-second (1.5-s) and the other with a 2.5-second (2.5-s) PLD ASL protocol. For all patients, a region of interest (ROI) was drawn around the CVR impairment. This affected ROI was then left-right flipped across the brain midline to obtain the control ROI. For both groups, the difference in grey matter CVR between affected and control ROI was first tested to confirm significance. The average grey matter CBF of affected and control ROIs were then compared. The same analysis method was used to compare affected and control hemispheres.
RESULTS RESULTS
In both groups of 1.5-s and 2.5-s PLD, CVR values in the affected ROI (-0.049±0.055 and -0.042±0.074%/mmHg, respectively) were significantly lower compared to that in the control ROI (0.152±0.054 and 0.152±0.053%/mmHg, respectively, P<0.0001). In the group with the 1.5-s PLD, CBF in the affected ROI (37.62±11.37 mL/100 g/min) was significantly lower compared to CBF in the control ROI (44.13±11.58 mL/100 g/min, P<0.05). However, in the group with the 2.5-s PLD, no significant differences could be seen between CBF in the affected ROI (40.50±14.82 mL/100 g/min) and CBF in the control ROI (39.68±12.49 mL/100 g/min, P=0.73). In the hemisphere-based analysis, CBF was significantly lower in the affected side than in the control side for the group with the 1.5-s PLD (P<0.05) when CVR was impaired (P<0.0001), but not for the group with the 2.5-s PLD (P=0.49).
CONCLUSIONS CONCLUSIONS
In conclusion, our study reveals and highlights the value of a shorter-PLD ASL protocol, which is able to reflect CVR impairment. At the same time, we offer a better understanding of the relationship between BOLD CVR and CBF obtained from ASL.

Identifiants

pubmed: 33532261
doi: 10.21037/qims-20-148
pii: qims-11-02-608
pmc: PMC7779917
doi:

Types de publication

Journal Article

Langues

eng

Pagination

608-619

Informations de copyright

2021 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/qims-20-148). The authors have no conflicts of interest to declare.

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Auteurs

Caiyu Zhuang (C)

Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada.
Department of Medical Imaging, the First Affiliated Hospital, Medical College of Shantou University, Shantou, China.

Julien Poublanc (J)

Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada.

Larissa Mcketton (L)

Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada.

Lakshmikumar Venkatraghavan (L)

Department of Anaesthesia, University Health Network, University of Toronto, Toronto, Ontario, Canada.

Olivia Sobczyk (O)

Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada.

James Duffin (J)

Department of Anaesthesia, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Department of Physiology, University Health Network, Toronto, Canada.

Adrian P Crawley (AP)

Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada.

Joseph A Fisher (JA)

Department of Anaesthesia, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Department of Physiology, University Health Network, Toronto, Canada.

Renhua Wu (R)

Department of Medical Imaging, the Second Affiliated Hospital, Medical College of Shantou University, Shantou, China.

David J Mikulis (DJ)

Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada.

Classifications MeSH