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dc.contributor.authorEl-Bouri, Wahbi K.
dc.contributor.authorMacGowan, Andrew
dc.contributor.authorJózsa, Tamás I.
dc.contributor.authorGounis, Matthew J
dc.contributor.authorPayne, Stephen J.
dc.date2022-08-11T08:08:25.000
dc.date.accessioned2022-08-23T15:54:47Z
dc.date.available2022-08-23T15:54:47Z
dc.date.issued2020-11-30
dc.date.submitted2020-12-09
dc.identifier.citation<p>bioRxiv 2020.11.30.403808; doi: https://doi.org/10.1101/2020.11.30.403808. <a href="https://doi.org/10.1101/2020.11.30.403808" target="_blank">Link to preprint on bioRxiv. </a></p>
dc.identifier.doi10.1101/2020.11.30.403808
dc.identifier.urihttp://hdl.handle.net/20.500.14038/29619
dc.description<p>This article is a preprint. Preprints are preliminary reports of work that have not been certified by peer review.</p>
dc.description.abstractMany ischaemic stroke patients who have a mechanical removal of their clot (thrombectomy) do not get reperfusion of tissue despite the thrombus being removed. One hypothesis for this ‘no-reperfusion’ phenomenon is micro-emboli fragmenting off the large clot during thrombectomy and occluding smaller blood vessels downstream of the clot location. This is impossible to observe in-vivo and so we here develop an in-silico model based on in-vitro experiments to model the effect of micro-emboli on brain tissue. Through in-vitro experiments we obtain, under a variety of clot consistencies and thrombectomy techniques, micro-emboli distributions post-thrombectomy. Blood flow through the microcirculation is modelled for statistically accurate voxels of brain microvasculature including penetrating arterioles and capillary beds. A novel micro-emboli algorithm, informed by the experimental data, is used to simulate the impact of micro-emboli successively entering the penetrating arterioles and the capillary bed. Scaled-up blood flow parameters – permeability and coupling coefficients – are calculated under various conditions. We find that capillary beds are more susceptible to occlusions than the penetrating arterioles with a 4x greater drop in permeability per volume of vessel occluded. Individual microvascular geometries determine robustness to micro-emboli. Hard clot fragmentation leads to larger micro-emboli and larger drops in blood flow for a given number of micro-emboli. Thrombectomy technique has a large impact on clot fragmentation and hence occlusions in the microvasculature. As such, in-silico modelling of mechanical thrombectomy predicts that clot specific factors, interventional technique, and microvascular geometry strongly influence reperfusion of the brain. Micro-emboli are likely contributory to the phenomenon of no-reperfusion following successful removal of a major clot.
dc.language.isoen_US
dc.relation<p>Now published in <em>PLOS Computational Biology</em> doi: <a href="http://dx.doi.org/10.1371/journal.pcbi.1008515" target="_blank" title="view published article">10.1371/journal.pcbi.1008515</a></p>
dc.rightsThe copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectneuroscience
dc.subjectclot fragmentation
dc.subjectthrombectomy
dc.subjectischaemic stroke
dc.subjectCardiovascular Diseases
dc.subjectComputational Neuroscience
dc.subjectDisease Modeling
dc.subjectNervous System Diseases
dc.subjectNeurology
dc.subjectRadiology
dc.titleModelling the impact of clot fragmentation on the microcirculation after thrombectomy [preprint]
dc.typePreprint
dc.source.journaltitlebioRxiv
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=2872&amp;context=faculty_pubs&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/faculty_pubs/1837
dc.identifier.contextkey20498260
refterms.dateFOA2022-08-23T15:54:47Z
html.description.abstract<p>Many ischaemic stroke patients who have a mechanical removal of their clot (thrombectomy) do not get reperfusion of tissue despite the thrombus being removed. One hypothesis for this ‘no-reperfusion’ phenomenon is micro-emboli fragmenting off the large clot during thrombectomy and occluding smaller blood vessels downstream of the clot location. This is impossible to observe in-vivo and so we here develop an in-silico model based on in-vitro experiments to model the effect of micro-emboli on brain tissue. Through in-vitro experiments we obtain, under a variety of clot consistencies and thrombectomy techniques, micro-emboli distributions post-thrombectomy. Blood flow through the microcirculation is modelled for statistically accurate voxels of brain microvasculature including penetrating arterioles and capillary beds. A novel micro-emboli algorithm, informed by the experimental data, is used to simulate the impact of micro-emboli successively entering the penetrating arterioles and the capillary bed. Scaled-up blood flow parameters – permeability and coupling coefficients – are calculated under various conditions. We find that capillary beds are more susceptible to occlusions than the penetrating arterioles with a 4x greater drop in permeability per volume of vessel occluded. Individual microvascular geometries determine robustness to micro-emboli. Hard clot fragmentation leads to larger micro-emboli and larger drops in blood flow for a given number of micro-emboli. Thrombectomy technique has a large impact on clot fragmentation and hence occlusions in the microvasculature. As such, in-silico modelling of mechanical thrombectomy predicts that clot specific factors, interventional technique, and microvascular geometry strongly influence reperfusion of the brain. Micro-emboli are likely contributory to the phenomenon of no-reperfusion following successful removal of a major clot.</p>
dc.identifier.submissionpathfaculty_pubs/1837
dc.contributor.departmentRadiology


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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Except where otherwise noted, this item's license is described as The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.