Evidence map›Paper›PMID 36960464›Full record

ArticleJournal of pain research2023

Augmented Reality-Assisted Navigation System for Transforaminal Epidural Injection.

Eun Kyung Jun, Sunghwan Lim, Joonho Seo, Kae Hong Lee, Jae Hee Lee, Deukhee Lee, Jae Chul Koh

Open access · goldAbstract read
In one paragraph

Article in Journal of pain research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Extended Reality for Neuraxial Procedures: A Scoping Review.Journal of medical extended reality · 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

7 authors at 3 institutions in 1 country.

Eun Kyung Jun *Department of Anesthesiology and Pain Medicine, Korea University Anam Hospital, Seoul, Korea.ORCID 0000-0002-4141-2082
Sunghwan Lim *Center for Healthcare Robotics, Artificial Intelligence and Robotics Institute, Korea Institute of Science and Technology, Seoul, Korea.ORCID 0000-0003-4482-3650
Joonho SeoDepartment of Medical Assistant Robot, Korea Institute of Machinery and Materials, Daegu, Korea.
Kae Hong LeeDepartment of Anesthesiology and Pain Medicine, Korea University Anam Hospital, Seoul, Korea.ORCID 0000-0002-6399-9515
Jae Hee LeeDepartment of Anesthesiology and Pain Medicine, Korea University Anam Hospital, Seoul, Korea.
Deukhee LeeCenter for Healthcare Robotics, Artificial Intelligence and Robotics Institute, Korea Institute of Science and Technology, Seoul, Korea.
Jae Chul KohDepartment of Anesthesiology and Pain Medicine, Korea University Anam Hospital, Seoul, Korea.ORCID 0000-0002-1625-8650
Korea University · KRKorea Institute of Machinery & Materials · KRKorea Institute of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Multiple studies have attempted to demonstrate the benefits of augmented reality (AR)-assisted navigation systems in surgery. Lumbosacral transforaminal epidural injection is an effective treatment commonly used in patients with radiculopathy due to spinal degenerative pathologies. However, few studies have applied AR-assisted navigation systems to this procedure. The study aimed to investigate the safety and effectiveness of an AR-assisted navigation system for transforaminal epidural injection. Patients and Methods: Through a real-time tracking system and a wireless network to the head-mounted display, computed tomography images of the spine and the path of a spinal needle to the target were visualized on a torso phantom with respiration movements installed. From L1/L2 to L5/S1, needle insertions were performed using an AR-assisted system on the left side of the phantom, and the conventional method was performed on the right side. Results: The procedure duration was approximately three times shorter, and the number of radiographs required was reduced in the experimental group compared to the control group. The distance from the needle tips to the target areas in the plan showed no significant difference between the two groups. (AR group 1.7 ± 2.3mm, control group 3.2 ± 2.8mm, P value 0.067). Conclusion: An AR-assisted navigation system may be used to reduce the time required for spinal interventions and ensure the safety of patients and physicians in view of radiation exposure. Further studies are essential to apply AR-assisted navigation systems to spine interventions.

Indexed as

augmented realityepidural injectioninterventional procedurenavigation systemradiation exposure

Identifiers

PMID36960464
PMCPMC10029754
OpenAlexW4327747716

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.