Evidence map›Paper›PMID 38634953›Full record

ArticleAnnals of biomedical engineering2024

Body-Mounted MR-Conditional Robot for Minimally Invasive Liver Intervention.

Zhefeng Huang, Anthony L Gunderman, Samuel E Wilcox, Saikat Sengupta, Jay Shah, Aiming Lu, David Woodrum, Yue Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Annals of biomedical engineering, 2024. 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. Low-Complexity Robotic Device for Magnetic Resonance Imaging-Guided Needle Biopsy.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

8 authors.

Zhefeng HuangInstitute of Robotics and Intelligent Machines, Georgia Institute of Technology, 801 Atlantic Dr NW, Atlanta, GA, 30332, USA.
Anthony L GundermanInstitute of Robotics and Intelligent Machines, Georgia Institute of Technology, 801 Atlantic Dr NW, Atlanta, GA, 30332, USA.
Samuel E WilcoxInstitute of Robotics and Intelligent Machines, Georgia Institute of Technology, 801 Atlantic Dr NW, Atlanta, GA, 30332, USA.
Saikat SenguptaVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Ave South Medical Center North, Nashville, TN, 37232, USA.
Jay ShahDepartment of Radiology, Emory University, 1364 Clifton Rd, Atlanta, GA, 30329, USA.
Aiming LuDepartment of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA.
David WoodrumDepartment of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA.
Yue ChenInstitute of Robotics and Intelligent Machines, Georgia Institute of Technology, 801 Atlantic Dr NW, Atlanta, GA, 30332, USA. yue.chen@bme.gatech.edu.ORCID http://orcid.org/0000-0001-9224-4165

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MR-guided microwave ablation (MWA) has proven effective in treating hepatocellular carcinoma (HCC) with small-sized tumors, but the state-of-the-art technique suffers from sub-optimal workflow due to the limited accuracy provided by the manual needle insertions. This paper presents a compact body-mounted MR-conditional robot that can operate in closed-bore MR scanners for accurate needle guidance. The robotic platform consists of two stacked Cartesian XY stages, each with two degrees of freedom, that facilitate needle insertion pose control. The robot is actuated using 3D-printed pneumatic turbines with MR-conditional bevel gear transmission systems. Pneumatic valves and control mechatronics are located inside the MRI control room and are connected to the robot with pneumatic transmission lines and optical fibers. Free-space experiments indicated robot-assisted needle insertion error of 2.6 ± 1.3 mm at an insertion depth of 80 mm. The MR-guided phantom studies were conducted to verify the MR-conditionality and targeting performance of the robot. Future work will focus on the system optimization and validations in animal trials.

Indexed as

Magnetic Resonance ImagingRobotic Surgical ProceduresCarcinoma, HepatocellularEquipment DesignHumansLiverLiver NeoplasmsMinimally Invasive Surgical ProceduresPhantoms, ImagingRoboticsMagnetic resonance imagingMedical robotMR-guided intervention

Identifiers

PMID38634953

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.