Cerebrovascular reactivity measurements using simultaneous


Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
06 2021
Historique:
received: 07 10 2020
revised: 28 02 2021
accepted: 04 03 2021
pubmed: 16 3 2021
medline: 15 10 2021
entrez: 15 3 2021
Statut: ppublish

Résumé

Cerebrovascular reactivity (CVR) reflects the capacity of the brain to meet changing physiological demands and can predict the risk of cerebrovascular diseases. CVR can be obtained by measuring the change in cerebral blood flow (CBF) during a brain stress test where CBF is altered by a vasodilator such as acetazolamide. Although the gold standard to quantify CBF is PET imaging, the procedure is invasive and inaccessible to most patients. Arterial spin labeling (ASL) is a non-invasive and quantitative MRI method to measure CBF, and a consensus guideline has been published for the clinical application of ASL. Despite single post labeling delay (PLD) pseudo-continuous ASL (PCASL) being the recommended ASL technique for CBF quantification, it is sensitive to variations to the arterial transit time (ATT) and labeling efficiency induced by the vasodilator in CVR studies. Multi-PLD ASL controls for the changes in ATT, and velocity selective ASL is in theory insensitive to both ATT and labeling efficiency. Here we investigate CVR using simultaneous

Identifiants

pubmed: 33716155
pii: S1053-8119(21)00232-9
doi: 10.1016/j.neuroimage.2021.117955
pmc: PMC8272558
mid: NIHMS1714818
pii:
doi:

Substances chimiques

Oxygen Radioisotopes 0
Spin Labels 0
Water 059QF0KO0R

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

117955

Subventions

Organisme : NINDS NIH HHS
ID : R00 NS102884
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB025220
Pays : United States

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

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Auteurs

Moss Y Zhao (MY)

Department of Radiology, Stanford University, Stanford, CA, United States. Electronic address: mosszhao@stanford.edu.

Audrey P Fan (AP)

Department of Biomedical Engineering, University of California Davis, Davis, CA, USA; Department of Neurology, University of California Davis, Davis, CA, USA.

David Yen-Ting Chen (DY)

Department of Medical Imaging, Taipei Medical University - Shuan-Ho Hospital, New Taipei City, Taiwan; Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.

Magdalena J Sokolska (MJ)

Medical Physics and Biomedical Engineering, University College London Hospitals, London, United Kingdom.

Jia Guo (J)

Department of Bioengineering, University of California Riverside, Riverside, CA, United States.

Yosuke Ishii (Y)

Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan.

David D Shin (DD)

GE Healthcare, Menlo Park, CA, United States.

Mohammad Mehdi Khalighi (MM)

Department of Radiology, Stanford University, Stanford, CA, United States.

Dawn Holley (D)

Department of Radiology, Stanford University, Stanford, CA, United States.

Kim Halbert (K)

Department of Radiology, Stanford University, Stanford, CA, United States.

Andrea Otte (A)

Department of Radiology, Stanford University, Stanford, CA, United States.

Brittney Williams (B)

Department of Radiology, Stanford University, Stanford, CA, United States.

Taghi Rostami (T)

Department of Bioengineering, Stanford University, Stanford, CA, United States.

Jun-Hyung Park (JH)

Department of Radiology, Stanford University, Stanford, CA, United States.

Bin Shen (B)

Department of Radiology, Stanford University, Stanford, CA, United States.

Greg Zaharchuk (G)

Department of Radiology, Stanford University, Stanford, CA, United States. Electronic address: gregz@stanford.edu.

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