Evidence map›Paper›PMID 40266438›Full record

ArticleAnnals of biomedical engineering2025

Development of a Low-Profile, Piezoelectric Robot for MR-Guided Abdominal Needle Interventions.

Samuel Wilcox, Saikat Sengupta, Chuan Huang, Junichi Tokuda, Aiming Lu, David Woodrum, Yue Chen

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Article in Annals of biomedical engineering, 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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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Samuel WilcoxInstitute of Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Saikat SenguptaVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, 37232, USA.
Chuan HuangDepartment of Radiology and Imaging Sciences, Emory University, Atlanta, GA, 30322, USA.
Junichi TokudaDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Aiming LuDepartment of Radiology, Mayo Clinic, Rochester, MN, 55905, USA.
David WoodrumDepartment of Radiology, Mayo Clinic, Rochester, MN, 55905, USA.
Yue ChenInstitute of Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, 30332, USA. yue.chen@bme.gatech.edu.ORCID http://orcid.org/0000-0001-9224-4165

Funding

Foundation for the National Institutes of Health 1S10OD02177101Foundation for the National Institutes of Health 1S10OD02510501National Science Foundation 2339202National Science Foundation Graduate Research Fellowship Program DGE-2039655Research Institute, Georgia Institute of Technology Yue Chen Faculty Startup Grant
6 · The paper itself

Abstract

purposeMinimally invasive needle-based interventions are commonly used in cancer diagnosis and treatment, including procedures, such as biopsy, brachytherapy, and microwave ablation. Although MR-guided needle placement offers several distinct advantages, such as high-resolution target visualization and accurate device tracking, one of the primary limitations that affect its widespread adoption is the ergonomic constraints of the closed-bore MRI environment, requiring the patients to be frequently moved in and out to perform the needle-based procedures. This paper introduces a low-profile, body-mounted, MR-guided robot designed to address this limitation by streamlining the operation workflow and enabling accurate needle placement within the MRI scanner.

methodsThe robot employs piezoelectric linear actuators and stacked Cartesian XY stages to precisely control the position and orientation of a needle guide. A kinematic model and control framework was developed to facilitate accurate targeting. Additionally, clinical workflow for the liver interventions was developed to demonstrate the robot's capability to replicate existing procedures. The proposed system was validated in benchtop environment and 3T MRI scanner to quantify the system performance.

resultsExperimental validations conducted in free space demonstrated a position accuracy of 2.38 ± 0.94 mm and orientation error of 1.40 ± 2.89°. Additional tests to confirm MR-conditionality and MR-guided phantom placements were carried out to assess the system's performance and safety in MRI suite, yielding a position error of 2.01 ± 0.77 mm and an orientation error of 1.57 ± 1.31°.

conclusionThe presented robot shows exceptional compatibility with a wide range of patients and bore sizes while maintaining clinically significant accuracy. Future work will focus on the validations in dynamic liver environments.

Indexed as

AbdomenMagnetic Resonance ImagingNeedlesRoboticsRobotic Surgical ProceduresEquipment DesignHumansLiverMR-guided proceduresMRIPercutaneous needle intervention

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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 Socratic graph.