Evidence map›Paper›PMID 41006951›Full record

ArticleThe international journal of medical robotics + computer assisted surgery : MRCAS2025

Potential of Guidewire-Clot Interaction Forces for Clot Detection in Robotic Mechanical Thrombectomy.

Evgenia Roussinova, Olivier Brina, William Galand, Philippe Reymond, Silvestro Micera, Paolo Machi, Mohamed Bouri

Abstract read
In one paragraph

Article in The international journal of medical robotics + computer assisted surgery : MRCAS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Potential of Guidewire-Clot Interaction Forces for Clot Detection in Robotic Mechanical Thrombectomy.The international journal of medical robotics + computer assisted surgery : MRCAS · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Evgenia RoussinovaREHAssist Group, Neuro-X Institute, EPFL, Lausanne, Switzerland.ORCID https://orcid.org/0009-0000-4387-6027
Olivier BrinaDivision of Neuroradiology, Geneva University Hospitals, Geneva, Switzerland.
William GalandREHAssist Group, Neuro-X Institute, EPFL, Lausanne, Switzerland.
Philippe ReymondDivision of Neuroradiology, Geneva University Hospitals, Geneva, Switzerland.
Silvestro MiceraTranslational Neural Engineering Laboratory (TNE), Neuro-X Institute, EPFL, Lausanne, Switzerland.
Paolo MachiDivision of Neuroradiology, Geneva University Hospitals, Geneva, Switzerland.
Mohamed BouriREHAssist Group, Neuro-X Institute, EPFL, Lausanne, Switzerland.

Funding

Swiss National Science Foundation 320030_188942
6 · The paper itself

Abstract

backgroundInterventional neuroradiologists currently miss crucial information when facing an ischaemic stroke case as they cannot localise the thrombus precisely nor determine its mechanical properties, which are both important for the clot extraction procedure.

methodsIn this in vitro study, clot analogues of different stiffnesses and dimensions were inserted in an idealised arterial phantom using distinct insertion pressure levels. Guidewire-clot interaction forces were recorded using a robotic device equipped with a force sensor. A model-based clot detection method was developed.

resultsClot stiffness, initial clot volume, and insertion pressure were all found to impact the guidewire-clot interaction forces. In detecting the clot's proximal and distal edges, we achieved success rates of 86.5% and 71.2%, respectively, within a tolerance of

conclusionsThe study brings new perspectives for mechanical thrombectomy by demonstrating that multiple parameters influence the occlusion's mechanical state and by proposing algorithms for identifying the clot's extremities.

Indexed as

Robotic Surgical ProceduresThrombectomyThrombosisAlgorithmsEquipment DesignHumansIschemic StrokePhantoms, ImagingPressureRoboticsclot detectionguidewireinteraction forcesischaemic strokerobotic device

Identifiers

PMID41006951
PMCPMC12474761

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.