Evidence map›Paper›PMID 37790985›Full record

ArticleIEEE transactions on medical robotics and bionics2022

Fluoroscopy-Guided Robotic System for Transforaminal Lumbar Epidural Injections.

Cong Gao, Henry Phalen, Adam Margalit, Justin H Ma, Ping-Cheng Ku, Mathias Unberath, Russell H Taylor, Amit Jain, Mehran Armand

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

Article in IEEE transactions on medical robotics and bionics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Robot-Assisted Reduction of the Ankle Joint via Multi-Body 3D-2D Image Registration.IEEE transactions on medical robotics and bionics · 2024
    Article
  4. Article
  5. 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

9 authors at 1 institution in 1 country.

Cong GaoDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA 21211.
Henry PhalenDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA 21211.
Adam MargalitDepartment of Orthopaedic Surgery, Baltimore, MD, USA 21224.
Justin H MaDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA 21211.
Ping-Cheng KuDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA 21211.
Mathias UnberathDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA 21211.
Russell H TaylorDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA 21211.
Amit JainDepartment of Orthopaedic Surgery, Baltimore, MD, USA 21224.
Mehran ArmandDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA 21211.
Johns Hopkins University · US

Funding

Image-Guided Workstation and Tools for the Treatment of Bone DefectsR01EB016703 · NIBIB · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI ARMAND, MEHRAN · 2013 to 2022
$3.4M
Robotic System for Spinal Decompression and Interbody FusionR01AR080315 · NIAMS · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI ARMAND, MEHRAN, JAIN, AMIT · 2022 to 2025
$1.7M
Robot-Assisted Femoroplasty with Intraoperative Biomechanical FeedbackR01EB023939 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI ARMAND, MEHRAN · 2017 to 2020
$1.6M
X-Ray Image-based Biomechanical Guidance for Hip SurgeryR21EB020113 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI ARMAND, MEHRAN · 2015 to 2016
$397k
NIAMS NIH HHS R01 AR080315NIBIB NIH HHS R01 EB016703NIBIB NIH HHS R01 EB023939NIBIB NIH HHS R21 EB020113
6 · The paper itself

Abstract

We present an autonomous robotic spine needle injection system using fluoroscopic image-based navigation. Our system includes patient-specific planning, intra-operative image-based 2D/3D registration and navigation, and automatic robot-guided needle injection. We performed intensive simulation studies to validate the registration accuracy. We achieved a mean spine vertebrae registration error of 0.8 ± 0.3 mm, 0.9 ± 0.7 degrees, mean injection device registration error of 0.2 ± 0.6 mm, 1.2 ± 1.3 degrees, in translation and rotation, respectively. We then conducted cadaveric studies comparing our system to an experienced clinician's free-hand injections. We achieved a mean needle tip translational error of 5.1 ± 2.4 mm and needle orientation error of 3.6 ± 1.9 degrees for robotic injections, compared to 7.6 ± 2.8 mm and 9.9 ± 4.7 degrees for clinician's free-hand injections, respectively. During injections, all needle tips were placed within the defined safety zones for this application. The results suggest the feasibility of using our image-guided robotic injection system for spinal orthopedic applications.

Identifiers

PMID37790985
PMCPMC10544812
OpenAlexW4289823970

What OpenQuestion 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 OpenQuestion graph.