Patient-Specific Modeling Could Predict Occurrence of Pediatric Stroke.

MRI cerebrovascular computational fluid dynamics hemodynamics isogeometric analysis moyamoya stroke risk wall shear rate score

Journal

Frontiers in physiology
ISSN: 1664-042X
Titre abrégé: Front Physiol
Pays: Switzerland
ID NLM: 101549006

Informations de publication

Date de publication:
2022
Historique:
received: 31 12 2021
accepted: 02 02 2022
entrez: 17 3 2022
pubmed: 18 3 2022
medline: 18 3 2022
Statut: epublish

Résumé

Moyamoya disease (MMD) is a progressive steno-occlusive cerebrovascular disease leading to recurrent stroke. There is a lack of reliable biomarkers to identify unilateral stroke MMD patients who are likely to progress to bilateral disease and experience subsequent contralateral stroke(s). We hypothesized that local hemodynamics are predictive of future stroke and set out to noninvasively assess this stroke risk in pediatric MMD patients. MR and X-ray angiography imaging were utilized to reconstruct patient-specific models of the circle of Willis of six pediatric MMD patients who had previous strokes, along with a control subject. Blood flow simulations were performed by using a Navier-Stokes solver within an isogeometric analysis framework. Vascular regions with a wall shear rate (WSR) above the coagulation limit (>5,000 s

Identifiants

pubmed: 35295566
doi: 10.3389/fphys.2022.846404
pmc: PMC8920501
doi:

Types de publication

Journal Article

Langues

eng

Pagination

846404

Informations de copyright

Copyright © 2022 Horn, Johnson, Starosolski, Meoded, Milewicz, Annapragada and Hossain.

Déclaration de conflit d'intérêts

AA is a consultant to, and a founder and stockholder in, Alzeca Biosciences and a shareholder in Sensulin LLC. ZS is a stockholder in Alzeca Biosciences and a consultant for InContext.ia. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

Stroke. 2020 Mar;51(3):775-783
pubmed: 31856692
AJNR Am J Neuroradiol. 2013 Sep;34(9):1740-5
pubmed: 23493888
Stroke. 2011 Oct;42(10):2973-6
pubmed: 21836096
Clin Neurol Neurosurg. 1997 Oct;99 Suppl 2:S178-81
pubmed: 9409432
J Clin Invest. 2012 Jan;122(1):408-18
pubmed: 22156199
Am J Med Genet A. 2010 Oct;152A(10):2437-43
pubmed: 20734336
J Vasc Surg. 2015 Apr;61(4):1068-80
pubmed: 25704412
J Magn Reson Imaging. 1998 Nov-Dec;8(6):1228-35
pubmed: 9848733
AJNR Am J Neuroradiol. 2001 Feb;22(2):233-4
pubmed: 11156758
Cerebrovasc Dis. 2006;22(2-3):109-15
pubmed: 16685122
Biomech Model Mechanobiol. 2021 Dec;20(6):2071-2084
pubmed: 34283347
Neurol Med Chir (Tokyo). 2010;50(5):378-85
pubmed: 20505292
Sci Rep. 2015 May 18;5:10178
pubmed: 25985192
Stroke. 2017 Jan;48(1):111-116
pubmed: 27909201
Neurosurg Focus. 2009 Apr;26(4):E6
pubmed: 19335132
Nanomedicine (Lond). 2013 Mar;8(3):343-57
pubmed: 23199308

Auteurs

John D Horn (JD)

Molecular Cardiology Research Laboratory, Texas Heart Institute, Houston, TX, United States.

Michael J Johnson (MJ)

Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX, United States.

Zbigniew Starosolski (Z)

Translational Imaging Group, Texas Children's Hospital, Houston, TX, United States.
Department of Radiology, Baylor College of Medicine, Houston, TX, United States.

Avner Meoded (A)

Translational Imaging Group, Texas Children's Hospital, Houston, TX, United States.
Department of Radiology, Baylor College of Medicine, Houston, TX, United States.

Dianna M Milewicz (DM)

Department of Internal Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, TX, United States.

Ananth Annapragada (A)

Translational Imaging Group, Texas Children's Hospital, Houston, TX, United States.
Department of Radiology, Baylor College of Medicine, Houston, TX, United States.

Shaolie S Hossain (SS)

Molecular Cardiology Research Laboratory, Texas Heart Institute, Houston, TX, United States.
Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX, United States.

Classifications MeSH