The Choroid Plexus as an Alternative Locus for the Identification of the Arterial Input Function for Calculating Cerebral Perfusion Metrics Using MRI.


Journal

AJNR. American journal of neuroradiology
ISSN: 1936-959X
Titre abrégé: AJNR Am J Neuroradiol
Pays: United States
ID NLM: 8003708

Informations de publication

Date de publication:
28 Dec 2023
Historique:
received: 26 09 2023
accepted: 02 11 2023
medline: 2 1 2024
pubmed: 2 1 2024
entrez: 2 1 2024
Statut: aheadofprint

Résumé

MR imaging-based cerebral perfusion metrics can be obtained by tracing the passage of a bolus of contrast through the microvasculature of the brain parenchyma. Thus, the temporal signal pattern of the contrast agent is typically measured over a large artery such as the MCA to generate the arterial input function. The largest intracranial arteries in the brain may not always be suitable for selecting the arterial input function due to skull base susceptibility artifacts or reduced size from steno-occlusive disease. Therefore, a suitable alternative arterial input function window would be useful. The choroid plexus is a highly vascular tissue composed essentially of arterialized blood vessels and acellular stroma with low metabolic requirements relative to its blood flow and may be a suitable alternative to identify the arterial input function. We studied 8 healthy participants and 7 patients with gliomas who were administered a bolus of gadolinium. We selected an arterial input function from both the left and right M1 segments of the MCA and both lateral ventricles of the choroid plexus for each participant. We compared the changes in the T2* signal and the calculated resting perfusion metrics using the arterial input functions selected from the MCA and choroid plexus. We found no systematic difference between resting perfusion metrics in GM and WM when calculated using an arterial input function from the MCA or choroid plexus in the same participant. The choroid plexus provides an alternative location from which an arterial input function may be sampled when a suitable measure over an MCA is not available.

Sections du résumé

BACKGROUND AND PURPOSE OBJECTIVE
MR imaging-based cerebral perfusion metrics can be obtained by tracing the passage of a bolus of contrast through the microvasculature of the brain parenchyma. Thus, the temporal signal pattern of the contrast agent is typically measured over a large artery such as the MCA to generate the arterial input function. The largest intracranial arteries in the brain may not always be suitable for selecting the arterial input function due to skull base susceptibility artifacts or reduced size from steno-occlusive disease. Therefore, a suitable alternative arterial input function window would be useful. The choroid plexus is a highly vascular tissue composed essentially of arterialized blood vessels and acellular stroma with low metabolic requirements relative to its blood flow and may be a suitable alternative to identify the arterial input function.
MATERIALS AND METHODS METHODS
We studied 8 healthy participants and 7 patients with gliomas who were administered a bolus of gadolinium. We selected an arterial input function from both the left and right M1 segments of the MCA and both lateral ventricles of the choroid plexus for each participant. We compared the changes in the T2* signal and the calculated resting perfusion metrics using the arterial input functions selected from the MCA and choroid plexus.
RESULTS RESULTS
We found no systematic difference between resting perfusion metrics in GM and WM when calculated using an arterial input function from the MCA or choroid plexus in the same participant.
CONCLUSIONS CONCLUSIONS
The choroid plexus provides an alternative location from which an arterial input function may be sampled when a suitable measure over an MCA is not available.

Identifiants

pubmed: 38164530
pii: ajnr.A8099
doi: 10.3174/ajnr.A8099
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 by American Journal of Neuroradiology.

Auteurs

Olivia Sobczyk (O)

From the Joint Department of Medical Imaging and the Functional Neuroimaging Lab (O.S., E.S.S., J.P., J.D., A.P., J.A.F., D.J.M.), University Health Network, Toronto, Ontario, Canada.
Department of Anaesthesia and Pain Management (O.S., J.AF.), University Health Network, University of Toronto, Toronto, Ontario, Canada.

Ece Su Sayin (ES)

From the Joint Department of Medical Imaging and the Functional Neuroimaging Lab (O.S., E.S.S., J.P., J.D., A.P., J.A.F., D.J.M.), University Health Network, Toronto, Ontario, Canada.
Department of Physiology (E.S.S., J.D., J.A.F.), University of Toronto, Toronto, Ontario, Canada.

Julien Poublanc (J)

From the Joint Department of Medical Imaging and the Functional Neuroimaging Lab (O.S., E.S.S., J.P., J.D., A.P., J.A.F., D.J.M.), University Health Network, Toronto, Ontario, Canada.

James Duffin (J)

From the Joint Department of Medical Imaging and the Functional Neuroimaging Lab (O.S., E.S.S., J.P., J.D., A.P., J.A.F., D.J.M.), University Health Network, Toronto, Ontario, Canada.
Department of Physiology (E.S.S., J.D., J.A.F.), University of Toronto, Toronto, Ontario, Canada.

Andrea Para (A)

From the Joint Department of Medical Imaging and the Functional Neuroimaging Lab (O.S., E.S.S., J.P., J.D., A.P., J.A.F., D.J.M.), University Health Network, Toronto, Ontario, Canada.

Joseph A Fisher (JA)

From the Joint Department of Medical Imaging and the Functional Neuroimaging Lab (O.S., E.S.S., J.P., J.D., A.P., J.A.F., D.J.M.), University Health Network, Toronto, Ontario, Canada joe.fisher@utoronto.ca.
Department of Anaesthesia and Pain Management (O.S., J.AF.), University Health Network, University of Toronto, Toronto, Ontario, Canada.
Department of Physiology (E.S.S., J.D., J.A.F.), University of Toronto, Toronto, Ontario, Canada.

David J Mikulis (DJ)

From the Joint Department of Medical Imaging and the Functional Neuroimaging Lab (O.S., E.S.S., J.P., J.D., A.P., J.A.F., D.J.M.), University Health Network, Toronto, Ontario, Canada.

Classifications MeSH