» Articles » PMID: 35153990

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

Abstract

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 ( = 0.03) and a longer procedure duration ( = 0.02) compared to RBC-rich thrombi. Conversely, RBC-rich thrombi released more embolic fragments than platelet-rich thrombi ( = 0.004). Both RBC-rich and platelet-rich thrombi underwent drastic compaction after being injected into the 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 -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.

Citing Articles

Traditional Thrombus Composition and Related Endovascular Outcomes: Catching up with the Recent Evidence.

Baek J Neurointervention. 2024; 19(2):65-73.

PMID: 38570911 PMC: 11222681. DOI: 10.5469/neuroint.2024.00087.


Shell Versus Core Architecture and Biology of Thrombi in Acute Ischemic Stroke: A Systematic Review.

Mereuta O, Agarwal T, Ghozy S, Dai D, Arul S, Brinjikji W Clin Appl Thromb Hemost. 2023; 29:10760296231213632.

PMID: 37960892 PMC: 10647960. DOI: 10.1177/10760296231213632.


Thrombus composition and thrombolysis resistance in stroke.

Ho-Tin-Noe B, Desilles J, Mazighi M Res Pract Thromb Haemost. 2023; 7(4):100178.

PMID: 37538503 PMC: 10394565. DOI: 10.1016/j.rpth.2023.100178.

References
1.
Gunning G, McArdle K, Mirza M, Duffy S, Gilvarry M, Brouwer P . Clot friction variation with fibrin content; implications for resistance to thrombectomy. J Neurointerv Surg. 2017; 10(1):34-38. DOI: 10.1136/neurintsurg-2016-012721. View

2.
Maekawa K, Shibata M, Nakajima H, Mizutani A, Kitano Y, Seguchi M . Erythrocyte-Rich Thrombus Is Associated with Reduced Number of Maneuvers and Procedure Time in Patients with Acute Ischemic Stroke Undergoing Mechanical Thrombectomy. Cerebrovasc Dis Extra. 2018; 8(1):39-49. PMC: 5836222. DOI: 10.1159/000486042. View

3.
Rijken D, Abdul S, Malfliet J, Leebeek F, Uitte de Willige S . Compaction of fibrin clots reveals the antifibrinolytic effect of factor XIII. J Thromb Haemost. 2016; 14(7):1453-61. DOI: 10.1111/jth.13354. View

4.
Marder V, Chute D, Starkman S, Abolian A, Kidwell C, Liebeskind D . Analysis of thrombi retrieved from cerebral arteries of patients with acute ischemic stroke. Stroke. 2006; 37(8):2086-93. DOI: 10.1161/01.STR.0000230307.03438.94. View

5.
Zaidat O, Castonguay A, Linfante I, Gupta R, Martin C, Holloway W . First Pass Effect: A New Measure for Stroke Thrombectomy Devices. Stroke. 2018; 49(3):660-666. DOI: 10.1161/STROKEAHA.117.020315. View