Evidence map›Paper›PMID 29430481›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2018

Robotic drill guide positioning using known-component 3D-2D image registration.

Thomas Yi, Vignesh Ramchandran, Jeffrey H Siewerdsen, Ali Uneri

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Multi-Body 3D-2D Registration for Robot-Assisted Joint Reduction: Preclinical Evaluation in the Ankle Syndesmosis.Proceedings of SPIE--the International Society for Optical Engineering · 2023
    Article
  2. Article
  3. Fluoroscopic Guidance of a Surgical Robot: Pre-clinical Evaluation in Pelvic Guidewire Placement.Proceedings of SPIE--the International Society for Optical Engineering · 2021
    Article
  4. Article
  5. Article
  6. Fiducial-Free 2D/3D Registration for Robot-Assisted Femoroplasty.IEEE transactions on medical robotics and bionics · 2020
    Article
  7. Article
  8. Article
  9. Image-Guided Robotic K-Wire Placement for Orthopaedic Trauma Surgery.Proceedings of SPIE--the International Society for Optical Engineering · 2020
    Article
  10. Article
  11. Technical Note: Known-Component Registration for Robotic Drill Guide Positioning.Proceedings of SPIE--the International Society for Optical Engineering · 2018
    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

4 authors.

Thomas YiJohns Hopkins University, Department of Biomedical Engineering, Baltimore, Maryland, United States.
Vignesh RamchandranJohns Hopkins University, Department of Biomedical Engineering, Baltimore, Maryland, United States.
Jeffrey H SiewerdsenJohns Hopkins University, Department of Biomedical Engineering, Baltimore, Maryland, United States.
Ali UneriJohns Hopkins University, Department of Biomedical Engineering, Baltimore, Maryland, United States.ORCID https://orcid.org/0000-0003-3419-1805

Funding

Training In Orthopaedic Team ScienceT32AR067708 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI JONES, LYNNE C., SHAFIQ, BABAR · 2015 to 2024
$2.0M
NIAMS NIH HHS T32 AR067708
6 · The paper itself

Abstract

A method for x-ray image-guided robotic instrument positioning is reported and evaluated in preclinical studies of spinal pedicle screw placement with the aim of improving delivery of transpedicle K-wires and screws. The known-component (KC) registration algorithm was used to register the three-dimensional patient CT and drill guide surface model to intraoperative two-dimensional radiographs. Resulting transformations, combined with offline hand-eye calibration, drive the robotically held drill guide to target trajectories defined in the preoperative CT. The method was assessed in comparison with a more conventional tracker-based approach, and robustness to clinically realistic errors was tested in phantom and cadaver. Deviations from planned trajectories were analyzed in terms of target registration error (TRE) at the tooltip (mm) and approach angle (deg). In phantom studies, the KC approach resulted in [Formula: see text] and [Formula: see text], comparable with accuracy in tracker-based approach. In cadaver studies with realistic anatomical deformation, the KC approach yielded [Formula: see text] and [Formula: see text], with statistically significant improvement versus tracker ([Formula: see text] and [Formula: see text]). Robustness to deformation is attributed to relatively local rigidity of anatomy in radiographic views. X-ray guidance offered accurate robotic positioning and could fit naturally within clinical workflow of fluoroscopically guided procedures.

Indexed as

3D–2D registrationimage-guided surgeryknown-component registrationsurgical robotics

Identifiers

PMID29430481
PMCPMC5800483

What OpenQuestion holds

Textmetadata
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.