A human brain test bed for research in large vessel occlusion stroke.

cadaveric model embolus large vessel occlusion stroke thrombectomy vascular disorders

Journal

Journal of neurosurgery
ISSN: 1933-0693
Titre abrégé: J Neurosurg
Pays: United States
ID NLM: 0253357

Informations de publication

Date de publication:
22 Jan 2021
Historique:
received: 12 06 2020
accepted: 27 07 2020
medline: 23 1 2021
pubmed: 23 1 2021
entrez: 22 1 2021
Statut: epublish

Résumé

Endovascular removal of emboli causing large vessel occlusion (LVO)-related stroke utilizing suction catheter and/or stent retriever technologies or thrombectomy is a new standard of care. Despite high recanalization rates, 40% of stroke patients still experience poor neurological outcomes as many cases cannot be fully reopened after the first attempt. The development of new endovascular technologies and techniques for mechanical thrombectomy requires more sophisticated testing platforms that overcome the limitations of phantom-based simulators. The authors investigated the use of a hybrid platform for LVO stroke constructed with cadaveric human brains. A test bed for embolic occlusion of cerebrovascular arteries and mechanical thrombectomy was developed with cadaveric human brains, a customized hydraulic system to generate physiological flow rate and pressure, and three types of embolus analogs (elastic, stiff, and fragment-prone) engineered to match mechanically and phenotypically the emboli causing LVO strokes. LVO cases were replicated in the anterior and posterior circulation, and thrombectomy was attempted using suction catheters and/or stent retrievers. The test bed allowed radiation-free visualization of thrombectomy for LVO stroke in real cerebrovascular anatomy and flow conditions by transmural visualization of the intraluminal elements and procedures. The authors were able to successfully replicate 105 LVO cases with 184 passes in 12 brains (51 LVO cases and 82 passes in the anterior circulation, and 54 LVO cases and 102 passes in the posterior circulation). Observed recanalization rates in this model were graded using a Recanalization in LVO (RELVO) scale analogous to other measures of recanalization outcomes in clinical use. The human brain platform introduced and validated here enables the analysis of artery-embolus-device interaction under physiological hemodynamic conditions within the unmodified complexity of the cerebral vasculature inside the human brain.

Identifiants

pubmed: 33482637
doi: 10.3171/2020.7.JNS202278
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1072-1080

Auteurs

Daniel Gebrezgiabhier (D)

1Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan.
2UC Berkeley-UCSF Graduate Program in Bioengineering, San Francisco, California.

Yang Liu (Y)

3Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan.
4Department of Radiology, Mayo Clinic, Rochester, Minnesota.

Adithya S Reddy (AS)

1Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan.

Evan Davis (E)

3Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan.

Yihao Zheng (Y)

3Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan.
5Department of Mechanical Engineering, Worcester Polytechnic Institute, Worcester, Massachusetts; and.

Albert J Shih (AJ)

3Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan.

Aditya S Pandey (AS)

1Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan.

Luis E Savastano (LE)

1Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan.
6Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota.

Classifications MeSH