Evidence map›Paper›PMID 40553293›Full record

ArticleInternational journal of computer assisted radiology and surgery2025

Experimental evaluation of virtual needle insertion framework with enhanced haptic feedback.

Mostafa Selim, Lars Eisenburger, Tom Dijkhuis, Martijn Van Dam, Alexander Broersen, Douwe Dresscher, Jouke Dijkstra, Momen Abayazid

Abstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Mostafa SelimRobotics and Mechatronics, University of Twente, Enschede, The Netherlands. m.s.selim@utwente.nl.ORCID http://orcid.org/0000-0002-5224-4790
Lars EisenburgerDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Tom DijkhuisDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Martijn Van DamDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Alexander BroersenDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Douwe DresscherRobotics and Mechatronics, University of Twente, Enschede, The Netherlands.
Jouke DijkstraDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Momen AbayazidRobotics and Mechatronics, University of Twente, Enschede, The Netherlands.

Funding

ITEA3 20044
6 · The paper itself

Abstract

purposeHaptic feedback could improve the efficiency of needle insertion procedures by providing surgeons with enhanced sensing and guiding capabilities. A framework has been developed to provide physicians with enhanced haptic feedback during CT-guided needle insertion procedures in oncology.

methodsThe physicians encountered needle-tissue interaction and guidance forces with visual feedback to accurately reach the tumor. The force feedback to users was enhanced by amplifying several parameters in the feedback model, such as tip forces and radial forces. The study evaluated the effect of multiple haptic and visual feedback algorithms on user performance in efficiently inserting the needle. In this experimental pilot study, 12 participants including three interventional radiologists engaged in five experimental scenarios simulating a needle insertion.

resultsThe results showed that enhanced force feedback for tumor perception reduced tumor targeting error and trajectory deviation, compared to natural force feedback. This was also the case when tumor perception and haptic guidance were both enhanced. Additionally, real-time visual feedback and enhanced force feedback for guidance reduced the duration to finish the task significantly. Participants still preferred real-time visual feedback over enhanced haptic feedback cues.

conclusionsOn average, small tumors (around 3mm in diameter) can be successfully targeted with enhanced haptic feedback in the radial and axial directions. Additionally, critical regions, such as veins within the liver, can be avoided more effectively as users maintain the desired trajectory with greater accuracy.

Indexed as

Feedback, SensoryNeedlesRadiography, InterventionalTomography, X-Ray ComputedUser-Computer InterfaceFemaleHumansMalePilot ProjectsHaptic feedbackImage-guidanceNeedle steeringUser study

Identifiers

PMID40553293
PMCPMC12350536

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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.