Hemodynamic impairments within individual watershed areas in asymptomatic carotid artery stenosis by multimodal MRI.

Asymptomatic internal carotid artery stenosis cerebrovascular disease hemodynamics individual watershed areas magnetic resonance imaging

Journal

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism
ISSN: 1559-7016
Titre abrégé: J Cereb Blood Flow Metab
Pays: United States
ID NLM: 8112566

Informations de publication

Date de publication:
02 2021
Historique:
pubmed: 3 4 2020
medline: 29 7 2021
entrez: 3 4 2020
Statut: ppublish

Résumé

Improved understanding of complex hemodynamic impairments in asymptomatic internal carotid artery stenosis (ICAS) is crucial to better assess stroke risks. Multimodal MRI is ideal for measuring brain hemodynamics and has the potential to improve diagnostics and treatment selections. We applied MRI-based perfusion and oxygenation-sensitive imaging in ICAS with the hypothesis that the sensitivity to hemodynamic impairments will improve within individual watershed areas (iWSA). We studied cerebral blood flow (CBF), cerebrovascular reactivity (CVR), relative cerebral blood volume (rCBV), relative oxygen extraction fraction (rOEF), oxygen extraction capacity (OEC) and capillary transit-time heterogeneity (CTH) in 29 patients with asymptomatic, unilateral ICAS (age 70.3 ± 7.0 y) and 30 age-matched healthy controls. In ICAS, we found significant impairments of CBF, CVR, rCBV, OEC, and CTH (strongest lateralization ΔCVR = -24%), but not of rOEF. Although the spatial overlap of compromised hemodynamic parameters within each patient varied in a complex manner, most pronounced changes of CBF, CVR and rCBV were detected within iWSAs (strongest effect ΔCVR = +117%). At the same time, CTH impairments were iWSA independent, indicating widespread dysfunction of capillary-level oxygen diffusivity. In summary, complementary MRI-based perfusion and oxygenation parameters offer deeper perspectives on complex microvascular impairments in individual patients. Furthermore, knowledge about iWSAs improves the sensitivity to hemodynamic impairments.

Identifiants

pubmed: 32237952
doi: 10.1177/0271678X20912364
pmc: PMC7812517
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

380-396

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH067528
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS100106
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States

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Auteurs

Stephan Kaczmarz (S)

Department of Neuroradiology, School of Medicine, Technical University of Munich (TUM), Munich, Germany.
TUM Neuroimaging Center (TUM-NIC), Technical University of Munich (TUM), Munich, Germany.
MRRC, Yale University, New Haven, CT, USA.

Jens Göttler (J)

Department of Neuroradiology, School of Medicine, Technical University of Munich (TUM), Munich, Germany.
TUM Neuroimaging Center (TUM-NIC), Technical University of Munich (TUM), Munich, Germany.
MRRC, Yale University, New Haven, CT, USA.
Department of Radiology, School of Medicine, Technical University of Munich (TUM), Munich, Germany.

Jan Petr (J)

PET Center, Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany.

Mikkel Bo Hansen (MB)

Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark.

Kim Mouridsen (K)

Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark.

Claus Zimmer (C)

Department of Neuroradiology, School of Medicine, Technical University of Munich (TUM), Munich, Germany.

Fahmeed Hyder (F)

MRRC, Yale University, New Haven, CT, USA.

Christine Preibisch (C)

Department of Neuroradiology, School of Medicine, Technical University of Munich (TUM), Munich, Germany.
TUM Neuroimaging Center (TUM-NIC), Technical University of Munich (TUM), Munich, Germany.
Clinic for Neurology, School of Medicine, Technical University of Munich (TUM), Munich, Germany.

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