IRE made easy: introducing the robotic grid system for multiple parallel needle insertion in irreversible electroporation treatment.
Publication year
2024Source
International Journal of Computer Assisted Radiology and Surgery, 19, 8, (2024), pp. 1517-1526ISSN
Annotation
01 augustus 2024
Publication type
Article / Letter to editor
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Organization
Medical Imaging
Journal title
International Journal of Computer Assisted Radiology and Surgery
Volume
vol. 19
Issue
iss. 8
Page start
p. 1517
Page end
p. 1526
Subject
Medical Imaging - Radboud University Medical CenterAbstract
PURPOSE: Accurate needle placement is crucial for successful tumor treatment using the irreversible electroporation (IRE) method. Multiple needles are inserted around the tumor, ideally in parallel, to achieve uniform electric field distribution. This paper presents a robot utilizing a grid system to enable multiple needles insertion while maintaining parallelism between them. METHODS: The robotic system has two degrees of freedom, which allow for the adjustment of the grid system to accommodate targeting lesions in various positions. The robot's performance was evaluated by testing its accuracy across various configurations and target depth locations, as well as its ability to maintain the needle parallelism. RESULTS: The robot has dimensions of ϕ 134 mm and a height of 46 mm, with a total weight of 295 g. The system accuracy test showed that the robot can precisely target points across different target depths and needle orientations, with an average error of 2.71 ± 0.68 mm. Moreover, multiple insertions at different grid locations reveal needle orientation deviations typically below 1∘ . CONCLUSION: This study presented the design and validation of a robotic grid system. The robot is capable of maintaining insertion accuracy and needle parallelism during multiple needle insertions at various robot configurations. The robot showed promising results with limited needle deviation, making it suitable for IRE procedures.
This item appears in the following Collection(s)
- Academic publications [244001]
- Electronic publications [130996]
- Faculty of Medical Sciences [92816]
- Open Access publications [105063]
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