Can micro-guidewire advancement forces predict clot consistency and location to assist the first-line technique for mechanical thrombectomy?

Intracranial Thrombosis Stroke Thrombectomy

Journal

Journal of neurointerventional surgery
ISSN: 1759-8486
Titre abrégé: J Neurointerv Surg
Pays: England
ID NLM: 101517079

Informations de publication

Date de publication:
18 Apr 2024
Historique:
received: 11 01 2024
accepted: 02 04 2024
medline: 19 4 2024
pubmed: 19 4 2024
entrez: 18 4 2024
Statut: aheadofprint

Résumé

The identification of specific clot characteristics before mechanical thrombectomy (MTB) might allow the selection of the most effective first-line technique, thus potentially improving the procedural outcome. We aimed to evaluate if the microwire push forces could extrapolate information on clot consistency and extension before MTB, based on clot mechanical properties. We measured in vitro the forces exerted on the proximal extremity of the guidewire during the advancement and retrieval of the guidewire through clot analogs of different compositions. In addition, we analyzed the forces exerted on the guidewire to extrapolate information about the location of the proximal and distal extremities of the clot analogs. The maximum forces recorded during the whole penetration phase were significantly different for hard and soft clots (median values, 55.6 mN vs 15.4 mN, respectively; P<0.0001). The maximum slope of the force curves recorded during the advancement of the guidewire for the first 3 s of penetration also significantly differentiated soft from hard clot analogs (7.6 mN/s vs 23.9 mN/s, respectively; P<0.0001). In addition, the qualitative analysis of the shape of the force curves obtained during the advancement and retrieval of the guidewire showed a good potential for the identification of the proximal and distal edges of the clot analogs. Our results demonstrated that it was possible to differentiate between soft and hard clot analogs. Furthermore, force measurements could give important information about the location of the clot extremities. Such an approach might support the selection of the first-line MTB technique, with the potential to improve the outcome.

Sections du résumé

BACKGROUND BACKGROUND
The identification of specific clot characteristics before mechanical thrombectomy (MTB) might allow the selection of the most effective first-line technique, thus potentially improving the procedural outcome. We aimed to evaluate if the microwire push forces could extrapolate information on clot consistency and extension before MTB, based on clot mechanical properties.
METHODS METHODS
We measured in vitro the forces exerted on the proximal extremity of the guidewire during the advancement and retrieval of the guidewire through clot analogs of different compositions. In addition, we analyzed the forces exerted on the guidewire to extrapolate information about the location of the proximal and distal extremities of the clot analogs.
RESULTS RESULTS
The maximum forces recorded during the whole penetration phase were significantly different for hard and soft clots (median values, 55.6 mN vs 15.4 mN, respectively; P<0.0001). The maximum slope of the force curves recorded during the advancement of the guidewire for the first 3 s of penetration also significantly differentiated soft from hard clot analogs (7.6 mN/s vs 23.9 mN/s, respectively; P<0.0001). In addition, the qualitative analysis of the shape of the force curves obtained during the advancement and retrieval of the guidewire showed a good potential for the identification of the proximal and distal edges of the clot analogs.
CONCLUSION CONCLUSIONS
Our results demonstrated that it was possible to differentiate between soft and hard clot analogs. Furthermore, force measurements could give important information about the location of the clot extremities. Such an approach might support the selection of the first-line MTB technique, with the potential to improve the outcome.

Identifiants

pubmed: 38637149
pii: jnis-2024-021477
doi: 10.1136/jnis-2024-021477
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: PM is consultant for Medtronic, Stryker, MIVI Neuroscience and Penumbra. VMP is consultant for Stryker, Medtronic, Cerenovus, Microvention, Siemens Healthineers, Imperative Care, Infinity Neuro and Philips Healthcare.

Auteurs

Philippe Reymond (P)

Neuroradiology, University Hospitals of Geneva, Geneva, Switzerland.

Evgenia Roussinova (E)

Translational Neural Engineering Lab (TNE), Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland.

Olivier Brina (O)

Neuroradiology, University Hospitals of Geneva, Geneva, Switzerland.

Jeremy Hofmeister (J)

Neuroradiology, University Hospitals of Geneva, Geneva, Switzerland.

Gianmarco Bernava (G)

Neuroradiology, University Hospitals of Geneva, Geneva, Switzerland.

Andrea Rosi (A)

Neuroradiology, University Hospitals of Geneva, Geneva, Switzerland.

William Galand (W)

Biorobotics Laboratory (BioRob), Swiss Federal Institute of Technology Lausanne, EPFL, Lausanne, Switzerland.

Karl-Olof Lovblad (KO)

Neuroradiology, University Hospitals of Geneva, Geneva, Switzerland.

Vitor M Pereira (VM)

Department of Neurosurgery, Unity Health Toronto, Toronto, Ontario, Canada.

Mohamed Bouri (M)

Translational Neural Engineering Lab (TNE), Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland.
Biorobotics Laboratory (BioRob), Swiss Federal Institute of Technology Lausanne, EPFL, Lausanne, Switzerland.

Paolo Machi (P)

Neuroradiology, University Hospitals of Geneva, Geneva, Switzerland paolo.machi@gmail.com.

Classifications MeSH