Evidence map›Paper›PMID 38536711›Full record

ArticleThe international journal of medical robotics + computer assisted surgery : MRCAS2024

A magnetic resonance conditional robot for lumbar spinal injection: Development and preliminary validation.

Depeng Liu, Gang Li, Shuyuan Wang, Zixuan Liu, Yanzhou Wang, Laura Connolly, David E Usevitch, Guofeng Shen, Kevin Cleary, Iulian Iordachita

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The international journal of medical robotics + computer assisted surgery : MRCAS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Towards Robot-Assisted MRI-Guided Lumbar Injections.... International Symposium on Medical Robotics. International Symposium on Medical Robotics · 2026
    Article
  2. Article
  3. 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
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

10 authors at 4 institutions in 3 countries.

Depeng LiuSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.ORCID https://orcid.org/0000-0002-8329-3333
Gang LiSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, District of Columbia, USA.
Shuyuan WangWhiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Zixuan LiuWhiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Yanzhou WangWhiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Laura ConnollyThe Department of Electrical and Computer Engineering, Queen's University, Kingston, Ontario, Canada.
David E UsevitchWhiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Guofeng ShenSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Kevin ClearySheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, District of Columbia, USA.
Iulian IordachitaWhiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Johns Hopkins University · USChildren's National · USQueen's University · CAShanghai Jiao Tong University · CN

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 EB025179NIH HHS 1R01 EB025179
6 · The paper itself

Abstract

purposeThis work presents the design and preliminary validation of a Magnetic Resonance (MR) conditional robot for lumbar injection for the treatment of lower back pain.

methodsThis is a 4-degree-of-freedom (DOF) robot that is 200 × 230 × 130 mm3 in volume and has a mass of 0.8 kg. Its lightweight and compact features allow it to be directly affixed to patient's back, establishing a rigid connection, thus reducing positional errors caused by patient movements during treatment.

resultsTo validate the positioning accuracy of the needle by the robot, an electromagnetic (EM) tracking system and a needle with an EM sensor embedded in the tip were used for the free space evaluation with position accuracy of 0.88 ± 0.46 mm and phantom mock insertions using the Loop-X CBCT scanner with target position accuracy of 3.62 ± 0.92 mm.

conclusionPreliminary experiments demonstrated that the proposed robot showed improvements and benefits in its rotation range, flexible needle adjustment, and sensor protection compared with previous and existing systems, offering broader clinical applications.

Indexed as

RoboticsHumansInjections, SpinalMagnetic Resonance ImagingMagnetic Resonance SpectroscopyNeedlesDesignevaluationMR conditional robotneedle injection

Identifiers

PMID38536711
PMCPMC10982612
OpenAlexW4390406796

What Socratic holds

Textmetadata
LicenceTDM
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.