Evidence map›Paper›PMID 31625021›Full record

ArticleInternational journal of computer assisted radiology and surgery2020

Body-mounted robotic assistant for MRI-guided low back pain injection.

Gang Li, Niravkumar A Patel, Jan Hagemeister, Jiawen Yan, Di Wu, Karun Sharma, Kevin Cleary, Iulian Iordachita

Open access · bronzeAbstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

16 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. SlicerROS2: A research and development module for image-guided robotic interventions.IEEE transactions on medical robotics and bionics · 2024
    Article
  6. Article
  7. Toward Autonomous Marker Localization for Lumbar Epidural Steroid Injection Robot.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
    Article
  8. Modeling and Control of an MR-Safe Pneumatic Radial Inflow Motor and Encoder (PRIME).IEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division · 2024
    Article
  9. A magnetic resonance conditional robot for lumbar spinal injection: Development and preliminary validation.The international journal of medical robotics + computer assisted surgery : MRCAS · 2024
    Article
  10. Open Source MR-Safe Pneumatic Radial Inflow Motor and Encoder (PRIME): Design and Manufacturing Guidelines.... International Symposium on Medical Robotics. International Symposium on Medical Robotics · 2023
    Article
  11. Fluoroscopy-Guided Robotic System for Transforaminal Lumbar Epidural Injections.IEEE transactions on medical robotics and bionics · 2022
    Article
  12. MRI-guided lumbar spinal injections with body-mounted robotic system: cadaver studies.Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy · 2022
    Article
  13. Article
  14. Review
  15. EVALUATION OF NEEDLE DRIVER DESIGNS FOR ROBOT-ASSISTED NEEDLE INSERTIONS UNDER MRI GUIDANCE.International Mechanical Engineering Congress and Exposition : [proceedings]. International Mechanical Engineering Congress and Exposition
    Article
  16. A Fully Actuated Body-Mounted Robotic Assistant for MRI-Guided Low Back Pain Injection.IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation
    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 at 2 institutions in 1 country.

Gang LiLaboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA. gli22@jhu.edu.ORCID http://orcid.org/0000-0002-4991-1265
Niravkumar A PatelLaboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA.
Jan HagemeisterLaboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA.
Jiawen YanLaboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA.
Di WuLaboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA.
Karun SharmaSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, Washington, DC, USA.
Kevin ClearySheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, Washington, DC, USA.
Iulian IordachitaLaboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA.
Johns Hopkins University · USChildren's National · US

Funding

MRI Compatible Robot for Improved Pain Injections in Adults and ChildrenR01EB025179 · NIBIB · CHILDREN'S RESEARCH INSTITUTE · PI CLEARY, KEVIN R. · 2018 to 2021
$2.8M
National Institute of Health 1 R01 EB025179-01NIBIB NIH HHS R01 EB025179
6 · The paper itself

Abstract

purposeThis paper presents the development of a body-mounted robotic assistant for magnetic resonance imaging (MRI)-guided low back pain injection. Our goal was to eliminate the radiation exposure of traditional X-ray guided procedures while enabling the exquisite image quality available under MRI. The robot is designed with a compact and lightweight profile that can be mounted directly on the patient's lower back via straps, thus minimizing the effect of patient motion by moving along with the patient. The robot was built with MR-conditional materials and actuated with piezoelectric motors so it can operate inside the MRI scanner bore during imaging and therefore streamline the clinical workflow by utilizing intraoperative MR images.

methodsThe robot is designed with a four degrees of freedom parallel mechanism, stacking two identical Cartesian stages, to align the needle under intraoperative MRI-guidance. The system targeting accuracy was first evaluated in free space with an optical tracking system, and further assessed with a phantom study under live MRI-guidance. Qualitative imaging quality evaluation was performed on a human volunteer to assess the image quality degradation caused by the robotic assistant.

resultsFree space positioning accuracy study demonstrated that the mean error of the tip position to be [Formula: see text] mm and needle angle to be [Formula: see text]. MRI-guided phantom study indicated the mean errors of the target to be [Formula: see text] mm, entry point to be [Formula: see text] mm, and needle angle to be [Formula: see text]. Qualitative imaging quality evaluation validated that the image degradation caused by the robotic assistant in the lumbar spine anatomy is negligible.

conclusionsThe study demonstrates that the proposed body-mounted robotic system is able to perform MRI-guided low back injection in a phantom study with sufficient accuracy and with minimal visible image degradation that should not affect the procedure.

Indexed as

Robotic Surgical ProceduresHumansLow Back PainMagnetic Resonance ImagingPhantoms, ImagingWorkflowBody-mounted robotImage-guided therapyMRI-guided robotPain injection

Identifiers

PMID31625021
PMCPMC7027988
OpenAlexW2980467558

What OpenQuestion holds

Textmetadata
LicenceTDM
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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 OpenQuestion graph.