Evidence map›Paper›PMID 31371101›Full record

ArticleJournal of biomechanics2019

Significance of preoperative planning for prophylactic augmentation of osteoporotic hip: A computational modeling study.

Amirhossein Farvardin, Ehsan Basafa, Mahsan Bakhtiarinejad, Mehran Armand

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biomechanics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Fiducial-Free 2D/3D Registration for Robot-Assisted Femoroplasty.IEEE transactions on medical robotics and bionics · 2020
    Article
  4. 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

4 authors.

Amirhossein FarvardinDepartment of Mechanical Engineering, Johns Hopkins University, 3400 N Charles Street, Baltimore, MD 21218, USA; Laboratory for Computational Sensing and Robotics, Johns Hopkins University, 3400 N Charles Street, Baltimore, MD 21218, USA. Electronic address: afarvar1@jhu.edu.
Ehsan BasafaAuris Health, Inc., 150 Shoreline Dr, Redwood City, CA 94065, USA.
Mahsan BakhtiarinejadDepartment of Mechanical Engineering, Johns Hopkins University, 3400 N Charles Street, Baltimore, MD 21218, USA; Laboratory for Computational Sensing and Robotics, Johns Hopkins University, 3400 N Charles Street, Baltimore, MD 21218, USA.
Mehran ArmandDepartment of Mechanical Engineering, Johns Hopkins University, 3400 N Charles Street, Baltimore, MD 21218, USA; Laboratory for Computational Sensing and Robotics, Johns Hopkins University, 3400 N Charles Street, Baltimore, MD 21218, USA; Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD 20723, USA; Department of Orthopaedic Surgery, Johns Hopkins University, 601 N. Caroline Street, Baltimore, MD 21287, USA.

Funding

Robot-Assisted Femoroplasty with Intraoperative Biomechanical FeedbackR01EB023939 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI ARMAND, MEHRAN · 2017 to 2020
$1.6M
Preoperative Planning of FemoroplastyR21AR063815 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI ARMAND, MEHRAN · 2013 to 2014
$346k
NIAMS NIH HHS R21 AR063815NIBIB NIH HHS R01 EB023939
6 · The paper itself

Abstract

A potential effective treatment for prevention of osteoporotic hip fractures is augmentation of the mechanical properties of the femur by injecting it with bone cement. This therapy, however, is only in research stage and can benefit substantially from computational simulations to optimize the pattern of cement injection. Some studies have considered a patient-specific planning paradigm for Osteoporotic Hip Augmentation (OHA). Despite their biomechanical advantages, customized plans require advanced surgical systems for implementation. Other studies, therefore, have suggested a more generalized injection strategy. The goal of this study is to investigate as to whether the additional computational overhead of the patient-specific planning can significantly improve the bone strength as compared to the generalized injection strategies attempted in the literature. For this purpose, numerical models were developed from high resolution CT images (n = 4). Through finite element analysis and hydrodynamic simulations, we compared the biomechanical efficiency of the customized cement-based augmentation along with three generalized injection strategies developed previously. Two series of simulations were studied, one with homogeneous and one with inhomogeneous material properties for the osteoporotic bone. The customized cement-based augmentation inhomogeneous models showed that injection of only 10 ml of bone cement can significantly increase the yield load (79.6%, P < 0.01) and yield energy (199%, P < 0.01) of an osteoporotic femur. This increase is significantly higher than those of the generalized injections proposed previously (23.8% on average). Our findings suggest that OHA can significantly benefit from a patient-specific plan that determines the pattern and volume of the injected cement.

Indexed as

Patient-Specific ModelingBiomechanical PhenomenaBone and BonesBone CementsFemaleFemurFinite Element AnalysisHip FracturesHip JointHumansMaleModels, TheoreticalOsteoporotic FracturesPolymethyl MethacrylateTomography, X-Ray ComputedBone CementsPolymethyl MethacrylateFinite element analysisOsteoporotic hip augmentationPMMA cementSurgical planning

Identifiers

PMID31371101
PMCPMC6736717

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Registered trials

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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.