Literature DB >> 34074460

Modelling the leptomeningeal collateral circulation during acute ischaemic stroke.

Raymond M Padmos1, Nerea Arrarte Terreros2, Tamás I Józsa3, Gábor Závodszky4, Henk A Marquering2, Charles B L M Majoie5, Alfons G Hoekstra4.   

Abstract

A novel model of the leptomeningeal collateral circulation is created by combining data from multiple sources with statistical scaling laws. The extent of the collateral circulation is varied by defining a collateral vessel probability. Blood flow and pressure are simulated using a one-dimensional steady state blood flow model. The leptomeningeal collateral vessels provide significant flow during a stroke. The pressure drop over an occlusion predicted by the model ranges between 60 and 85 mmHg depending on the extent of the collateral circulation. The linear transport of contrast material was simulated in the circulatory network. The time delay of peak contrast over an occlusion is 3.3 s in the model, and 2.1 s (IQR 0.8-4.0 s) when measured in dynamic CTA data of acute ischaemic stroke patients. Modelling the leptomeningeal collateral circulation could lead to better estimates of infarct volume and patient outcome.
Copyright © 2021. Published by Elsevier Ltd.

Entities:  

Keywords:  1D blood flow model; Acute ischaemic stroke; Cerebral contrast transport; Collateral flow simulation; Leptomeningeal collateral circulation

Year:  2021        PMID: 34074460     DOI: 10.1016/j.medengphy.2021.03.003

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  2 in total

1.  Modelling collateral flow and thrombus permeability during acute ischaemic stroke.

Authors:  Raymond M Padmos; Nerea Arrarte Terreros; Tamás I Józsa; Gábor Závodszky; Henk A Marquering; Charles B L M Majoie; Stephen J Payne; Alfons G Hoekstra
Journal:  J R Soc Interface       Date:  2022-10-05       Impact factor: 4.293

2.  Determining Clinically-Viable Biomarkers for Ischaemic Stroke Through a Mechanistic and Machine Learning Approach.

Authors:  Ivan Benemerito; Ana Paula Narata; Andrew Narracott; Alberto Marzo
Journal:  Ann Biomed Eng       Date:  2022-04-01       Impact factor: 4.219

  2 in total

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