Evidence map›Paper›PMID 37213937›Full record

ArticleIEEE transactions on medical robotics and bionics2023

A Surgical Robotic System for Osteoporotic Hip Augmentation: System Development and Experimental Evaluation.

Mahsan Bakhtiarinejad, Cong Gao, Amirhossein Farvardin, Gang Zhu, Yu Wang, Julius K Oni, Russell H Taylor, Mehran Armand

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

Article in IEEE transactions on medical robotics and bionics, 2023. 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
3.8field-weighted citation impact, top 7% 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, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

8 authors at 1 institution in 1 country.

Mahsan BakhtiarinejadLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218, USA; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Cong GaoLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218, USA; Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA.
Amirhossein FarvardinLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218, USA; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Gang ZhuDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Yu WangDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Julius K OniDepartment of Orthopaedic Surgery, Johns Hopkins University, Baltimore, MD 21287, USA.
Russell H TaylorLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218, USA; Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA.
Mehran ArmandLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218, USA; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA; Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA; Department of Orthopaedic Surgery, Johns Hopkins University, Baltimore, MD 21287, USA.
Johns Hopkins University · US

Funding

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
Preoperative Planning of FemoroplastyR21AR063815 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI ARMAND, MEHRAN · 2013 to 2014
$346k
NIAMS NIH HHS R21 AR063815NIBIB NIH HHS R01 EB023939NIBIB NIH HHS R21 EB020113
6 · The paper itself

Abstract

Minimally-invasive Osteoporotic Hip Augmentation (OHA) by injecting bone cement is a potential treatment option to reduce the risk of hip fracture. This treatment can significantly benefit from computer-assisted planning and execution system to optimize the pattern of cement injection. We present a novel robotic system for the execution of OHA that consists of a 6-DOF robotic arm and integrated drilling and injection component. The minimally-invasive procedure is performed by registering the robot and preoperative images to the surgical scene using multiview image-based 2D/3D registration with no external fiducial attached to the body. The performance of the system is evaluated through experimental sawbone studies as well as cadaveric experiments with intact soft tissues. In the cadaver experiments, distance errors of 3.28mm and 2.64mm for entry and target points and orientation error of 2.30° are calculated. Moreover, the mean surface distance error of 2.13mm with translational error of 4.47mm is reported between injected and planned cement profiles. The experimental results demonstrate the first application of the proposed Robot-Assisted combined Drilling and Injection System (RADIS), incorporating biomechanical planning and intraoperative fiducial-less 2D/3D registration on human cadavers with intact soft tissues.

Indexed as

2D/3D registrationOsteoportic Hip AugmentationPMMA cement augmentationRobot-assisted femoroplastySurgical planning

Identifiers

PMID37213937
PMCPMC10195101
OpenAlexW4318822149

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.