Evidence map›Paper›PMID 36082206›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2020

Image-Guided Robotic K-Wire Placement for Orthopaedic Trauma Surgery.

R C Vijayan, R Han, P Wu, N M Sheth, M D Ketcha, P Vagdargi, S Vogt, G Kleinszig, G M Osgood, J H Siewerdsen and 1 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2020. 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
0.8field-weighted citation impact, top 28% 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, 4 citations in OpenAlex.

  1. 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 · 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 at 3 institutions in 2 countries.

R C VijayanDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore MD.
R HanDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore MD.
P WuDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore MD.
N M ShethDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore MD.
M D KetchaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore MD.
P VagdargiDepartment of Computer Science, Johns Hopkins University, Baltimore MD.
S VogtSiemens Healthineers, Forchheim, Germany.
G KleinszigSiemens Healthineers, Forchheim, Germany.
G M OsgoodDepartment of Orthopaedic Surgery, Johns Hopkins Medicine, Baltimore MD.
J H SiewerdsenDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore MD.
A UneriDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore MD.
Johns Hopkins University · USSiemens Healthcare (Germany) · DEJohns Hopkins Medicine · US

Funding

Intraoperative Imaging for Guidance, Patient Safety, and OR Quality AssuranceR01EB017226 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI SIEWERDSEN, JEFFREY H · 2014 to 2017
$2.1M
NIBIB NIH HHS R01 EB017226
6 · The paper itself

Abstract

Purpose: We report the initial development of an image-based solution for robotic assistance of pelvic fracture fixation. The approach uses intraoperative radiographs, preoperative CT, and an end effector of known design to align the robot with target trajectories in CT. The method extends previous work to solve the robot-to-patient registration from a single radiographic view (without C-arm rotation) and addresses the workflow challenges associated with integrating robotic assistance in orthopaedic trauma surgery in a form that could be broadly applicable to isocentric or non-isocentric C-arms. Methods: The proposed method uses 3D-2D known-component registration to localize a robot end effector with respect to the patient by: (1) exploiting the extended size and complex features of pelvic anatomy to register the patient; and (2) capturing multiple end effector poses using precise robotic manipulation. These transformations, along with an offline hand-eye calibration of the end effector, are used to calculate target robot poses that align the end effector with planned trajectories in the patient CT. Geometric accuracy of the registrations was independently evaluated for the patient and the robot in phantom studies. Results: The resulting translational difference between the ground truth and patient registrations of a pelvis phantom using a single (AP) view was 1.3 mm, compared to 0.4 mm using dual (AP+Lat) views. Registration of the robot in air (i.e., no background anatomy) with five unique end effector poses achieved mean translational difference ~1.4 mm for K-wire placement in the pelvis, comparable to tracker-based margins of error (commonly ~2 mm). Conclusions: The proposed approach is feasible based on the accuracy of the patient and robot registrations and is a preliminary step in developing an image-guided robotic guidance system that more naturally fits the workflow of fluoroscopically guided orthopaedic trauma surgery. Future work will involve end-to-end development of the proposed guidance system and assessment of the system with delivery of K-wires in cadaver studies.

Indexed as

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

Identifiers

PMID36082206
PMCPMC9450105
OpenAlexW3011954771

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.