Cargando…

Modeling Large Vessel Occlusion Stroke for the Evaluation of Endovascular Therapy According to Thrombus Composition

More than 40% of endovascular therapy (EVT) fail to achieve complete reperfusion of the territory of the occluded artery in patients with acute ischemic stroke (AIS). Understanding factors influencing EVT could help overcome its limitations. Our objective was to study the impact of thrombus cell com...

Descripción completa

Detalles Bibliográficos
Autores principales: Freiherr von Seckendorff, Aurélien, Delvoye, François, Levant, Paul, Solo Nomenjanahary, Mialitiana, Ollivier, Véronique, Bourrienne, Marie-Charlotte, Di Meglio, Lucas, Piotin, Michel, Escalard, Simon, Maier, Benjamin, Hebert, Solène, Smajda, Stanislas, Redjem, Hocine, Mazighi, Mikael, Blanc, Raphael, Ho-Tin-Noé, Benoit, Désilles, Jean-Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829452/
https://www.ncbi.nlm.nih.gov/pubmed/35153990
http://dx.doi.org/10.3389/fneur.2021.815814
_version_ 1784648083627311104
author Freiherr von Seckendorff, Aurélien
Delvoye, François
Levant, Paul
Solo Nomenjanahary, Mialitiana
Ollivier, Véronique
Bourrienne, Marie-Charlotte
Di Meglio, Lucas
Piotin, Michel
Escalard, Simon
Maier, Benjamin
Hebert, Solène
Smajda, Stanislas
Redjem, Hocine
Mazighi, Mikael
Blanc, Raphael
Ho-Tin-Noé, Benoit
Désilles, Jean-Philippe
author_facet Freiherr von Seckendorff, Aurélien
Delvoye, François
Levant, Paul
Solo Nomenjanahary, Mialitiana
Ollivier, Véronique
Bourrienne, Marie-Charlotte
Di Meglio, Lucas
Piotin, Michel
Escalard, Simon
Maier, Benjamin
Hebert, Solène
Smajda, Stanislas
Redjem, Hocine
Mazighi, Mikael
Blanc, Raphael
Ho-Tin-Noé, Benoit
Désilles, Jean-Philippe
author_sort Freiherr von Seckendorff, Aurélien
collection PubMed
description More than 40% of endovascular therapy (EVT) fail to achieve complete reperfusion of the territory of the occluded artery in patients with acute ischemic stroke (AIS). Understanding factors influencing EVT could help overcome its limitations. Our objective was to study the impact of thrombus cell composition on EVT procedures, using a simulation system for modeling thrombus-induced large vessel occlusion (LVO) in flow conditions. In an open comparative trial, we analyzed the behavior of size-standardized platelet-rich and red blood cells (RBC)-rich thrombi during simulated stent retriever-mediated EVT procedures. Sixteen simulated EVT procedures were performed (8 RBC- vs. 8 platelet-rich thrombi). Platelet-rich thrombi were associated with a higher number of stent retriever passes (p = 0.03) and a longer procedure duration (p = 0.02) compared to RBC-rich thrombi. Conversely, RBC-rich thrombi released more embolic fragments than platelet-rich thrombi (p = 0.004). Both RBC-rich and platelet-rich thrombi underwent drastic compaction after being injected into the in vitro circulation model, and histologic analyses showed that these EVT-retrieved thrombi displayed features comparable to those previously observed in thrombi from patients with AIS patients having LVO, including a marked structural dichotomy between RBC- and platelet-rich areas. Our results show that the injection of in vitro-produced thrombi in artificial cerebrovascular arterial networks is suitable for testing recanalization efficacy and the risk of embolization of EVT devices and strategies in association with thrombus cell composition.
format Online
Article
Text
id pubmed-8829452
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-88294522022-02-11 Modeling Large Vessel Occlusion Stroke for the Evaluation of Endovascular Therapy According to Thrombus Composition Freiherr von Seckendorff, Aurélien Delvoye, François Levant, Paul Solo Nomenjanahary, Mialitiana Ollivier, Véronique Bourrienne, Marie-Charlotte Di Meglio, Lucas Piotin, Michel Escalard, Simon Maier, Benjamin Hebert, Solène Smajda, Stanislas Redjem, Hocine Mazighi, Mikael Blanc, Raphael Ho-Tin-Noé, Benoit Désilles, Jean-Philippe Front Neurol Neurology More than 40% of endovascular therapy (EVT) fail to achieve complete reperfusion of the territory of the occluded artery in patients with acute ischemic stroke (AIS). Understanding factors influencing EVT could help overcome its limitations. Our objective was to study the impact of thrombus cell composition on EVT procedures, using a simulation system for modeling thrombus-induced large vessel occlusion (LVO) in flow conditions. In an open comparative trial, we analyzed the behavior of size-standardized platelet-rich and red blood cells (RBC)-rich thrombi during simulated stent retriever-mediated EVT procedures. Sixteen simulated EVT procedures were performed (8 RBC- vs. 8 platelet-rich thrombi). Platelet-rich thrombi were associated with a higher number of stent retriever passes (p = 0.03) and a longer procedure duration (p = 0.02) compared to RBC-rich thrombi. Conversely, RBC-rich thrombi released more embolic fragments than platelet-rich thrombi (p = 0.004). Both RBC-rich and platelet-rich thrombi underwent drastic compaction after being injected into the in vitro circulation model, and histologic analyses showed that these EVT-retrieved thrombi displayed features comparable to those previously observed in thrombi from patients with AIS patients having LVO, including a marked structural dichotomy between RBC- and platelet-rich areas. Our results show that the injection of in vitro-produced thrombi in artificial cerebrovascular arterial networks is suitable for testing recanalization efficacy and the risk of embolization of EVT devices and strategies in association with thrombus cell composition. Frontiers Media S.A. 2022-01-27 /pmc/articles/PMC8829452/ /pubmed/35153990 http://dx.doi.org/10.3389/fneur.2021.815814 Text en Copyright © 2022 Freiherr von Seckendorff, Delvoye, Levant, Solo Nomenjanahary, Ollivier, Bourrienne, Di Meglio, Piotin, Escalard, Maier, Hebert, Smajda, Redjem, Mazighi, Blanc, Ho-Tin-Noé and Désilles. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Freiherr von Seckendorff, Aurélien
Delvoye, François
Levant, Paul
Solo Nomenjanahary, Mialitiana
Ollivier, Véronique
Bourrienne, Marie-Charlotte
Di Meglio, Lucas
Piotin, Michel
Escalard, Simon
Maier, Benjamin
Hebert, Solène
Smajda, Stanislas
Redjem, Hocine
Mazighi, Mikael
Blanc, Raphael
Ho-Tin-Noé, Benoit
Désilles, Jean-Philippe
Modeling Large Vessel Occlusion Stroke for the Evaluation of Endovascular Therapy According to Thrombus Composition
title Modeling Large Vessel Occlusion Stroke for the Evaluation of Endovascular Therapy According to Thrombus Composition
title_full Modeling Large Vessel Occlusion Stroke for the Evaluation of Endovascular Therapy According to Thrombus Composition
title_fullStr Modeling Large Vessel Occlusion Stroke for the Evaluation of Endovascular Therapy According to Thrombus Composition
title_full_unstemmed Modeling Large Vessel Occlusion Stroke for the Evaluation of Endovascular Therapy According to Thrombus Composition
title_short Modeling Large Vessel Occlusion Stroke for the Evaluation of Endovascular Therapy According to Thrombus Composition
title_sort modeling large vessel occlusion stroke for the evaluation of endovascular therapy according to thrombus composition
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829452/
https://www.ncbi.nlm.nih.gov/pubmed/35153990
http://dx.doi.org/10.3389/fneur.2021.815814
work_keys_str_mv AT freiherrvonseckendorffaurelien modelinglargevesselocclusionstrokefortheevaluationofendovasculartherapyaccordingtothrombuscomposition
AT delvoyefrancois modelinglargevesselocclusionstrokefortheevaluationofendovasculartherapyaccordingtothrombuscomposition
AT levantpaul modelinglargevesselocclusionstrokefortheevaluationofendovasculartherapyaccordingtothrombuscomposition
AT solonomenjanaharymialitiana modelinglargevesselocclusionstrokefortheevaluationofendovasculartherapyaccordingtothrombuscomposition
AT ollivierveronique modelinglargevesselocclusionstrokefortheevaluationofendovasculartherapyaccordingtothrombuscomposition
AT bourriennemariecharlotte modelinglargevesselocclusionstrokefortheevaluationofendovasculartherapyaccordingtothrombuscomposition
AT dimegliolucas modelinglargevesselocclusionstrokefortheevaluationofendovasculartherapyaccordingtothrombuscomposition
AT piotinmichel modelinglargevesselocclusionstrokefortheevaluationofendovasculartherapyaccordingtothrombuscomposition
AT escalardsimon modelinglargevesselocclusionstrokefortheevaluationofendovasculartherapyaccordingtothrombuscomposition
AT maierbenjamin modelinglargevesselocclusionstrokefortheevaluationofendovasculartherapyaccordingtothrombuscomposition
AT hebertsolene modelinglargevesselocclusionstrokefortheevaluationofendovasculartherapyaccordingtothrombuscomposition
AT smajdastanislas modelinglargevesselocclusionstrokefortheevaluationofendovasculartherapyaccordingtothrombuscomposition
AT redjemhocine modelinglargevesselocclusionstrokefortheevaluationofendovasculartherapyaccordingtothrombuscomposition
AT mazighimikael modelinglargevesselocclusionstrokefortheevaluationofendovasculartherapyaccordingtothrombuscomposition
AT blancraphael modelinglargevesselocclusionstrokefortheevaluationofendovasculartherapyaccordingtothrombuscomposition
AT hotinnoebenoit modelinglargevesselocclusionstrokefortheevaluationofendovasculartherapyaccordingtothrombuscomposition
AT desillesjeanphilippe modelinglargevesselocclusionstrokefortheevaluationofendovasculartherapyaccordingtothrombuscomposition