Evidence map›Paper›PMID 33748414›Full record

ArticleIEEE robotics and automation letters2020

Fully Actuated Body-Mounted Robotic System for MRI-Guided Lower Back Pain Injections: Initial Phantom and Cadaver Studies.

Gang Li, Niravkumar A Patel, Yanzhou Wang, Charles Dumoulin, Wolfgang Loew, Olivia Loparo, Katherine Schneider, Karun Sharma, Kevin Cleary, Jan Fritz and 1 more

Abstract read
In one paragraph

Article in IEEE robotics and automation letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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
  5. 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
  6. Current State of Robotics in Interventional Radiology.Cardiovascular and interventional radiology · 2023
    Review
  7. Review
  8. In Situ Flexible Needle Adjustment Towards MRI-Guided Spinal Injections Based on Finite Element Simulation.... International Symposium on Medical Robotics. International Symposium on Medical Robotics · 2023
    Article
  9. Flexible Needle Bending Model for Spinal Injection Procedures.IEEE robotics and automation letters · 2023
    Article
  10. An MR-Conditional Needle Driver for Robot-Assisted Spinal Injections: Design Modifications and Evaluations.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2022
    Article
  11. State of the Art and Future Opportunities in MRI-Guided Robot-Assisted Surgery and Interventions.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2022
    Article
  12. Body-Mounted Robotics for Interventional MRI Procedures.IEEE transactions on medical robotics and bionics · 2020
    Article
  13. 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
  14. Towards Safe In Situ Needle Manipulation for Robot Assisted Lumbar Injection in Interventional MRI.Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems
    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

11 authors.

Gang LiGang Li, Niravkumar A. Patel, Yanzhou Wang, and Iulian Iordachita are with Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA.
Niravkumar A PatelGang Li, Niravkumar A. Patel, Yanzhou Wang, and Iulian Iordachita are with Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA.
Yanzhou WangGang Li, Niravkumar A. Patel, Yanzhou Wang, and Iulian Iordachita are with Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA.
Charles DumoulinCharles Dumoulin, Wolfgang Loew, Olivia Loparo, and Katherine Schneider are with Cincinnati Childrens Hospital Medical Center, Cincinnati, OH, USA.
Wolfgang LoewCharles Dumoulin, Wolfgang Loew, Olivia Loparo, and Katherine Schneider are with Cincinnati Childrens Hospital Medical Center, Cincinnati, OH, USA.
Olivia LoparoCharles Dumoulin, Wolfgang Loew, Olivia Loparo, and Katherine Schneider are with Cincinnati Childrens Hospital Medical Center, Cincinnati, OH, USA.
Katherine SchneiderCharles Dumoulin, Wolfgang Loew, Olivia Loparo, and Katherine Schneider are with Cincinnati Childrens Hospital Medical Center, Cincinnati, OH, USA.
Karun SharmaKarun Sharma and Kevin Cleary are with the Sheikh Zayed Institute for Pediatric Surgical Innovation, Childrens National Hospital, Washington, DC, USA.
Kevin ClearyKarun Sharma and Kevin Cleary are with the Sheikh Zayed Institute for Pediatric Surgical Innovation, Childrens National Hospital, Washington, DC, USA.
Jan FritzJan Fritz is with Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Iulian IordachitaGang Li, Niravkumar A. Patel, Yanzhou Wang, and Iulian Iordachita are with Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA.

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
NIBIB NIH HHS R01 EB025179
6 · The paper itself

Abstract

This paper reports the improved design, system integration, and initial experimental evaluation of a fully actuated body-mounted robotic system for real-time MRI-guided lower back pain injections. The 6-DOF robot is composed of a 4-DOF needle alignment module and a 2-DOF remotely actuated needle driver module, which together provide a fully actuated manipulator that can operate inside the scanner bore during imaging. The system minimizes the need to move the patient in and out of the scanner during a procedure, and thus may shorten the procedure time and streamline the clinical workflow. The robot is devised with a compact and lightweight structure that can be attached directly to the patient's lower back via straps. This approach minimizes the effect of patient motion by allowing the robot to move with the patient. The robot is integrated with an image-based surgical planning module. A dedicated clinical workflow is proposed for robot-assisted lower back pain injections under real-time MRI guidance. Targeting accuracy of the system was evaluated with a real-time MRI-guided phantom study, demonstrating the mean absolute errors (MAE) of the tip position to be 1.50±0.68mm and of the needle angle to be 1.56±0.93°. An initial cadaver study was performed to validate the feasibility of the clinical workflow, indicating the maximum error of the position to be less than 1.90mm and of the angle to be less than 3.14°.

Indexed as

body-mounted robotlower back pain injectionMRI-guided robotrobot-assisted intervention

Identifiers

PMID33748414
PMCPMC7971162

What OpenQuestion holds

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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.