Evidence map›Paper›PMID 23375663›Full record

ArticleMedical engineering & physics2013

Patient-specific finite element modeling for femoral bone augmentation.

Ehsan Basafa, Robert S Armiger, Michael D Kutzer, Stephen M Belkoff, Simon C Mears, Mehran Armand

Abstract read
In one paragraph

Article in Medical engineering & physics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. How accurately do finite element models predict the fall impact response of ex vivo specimens augmented by prophylactic intramedullary nailing?Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025
    Article
  2. Finite element analysis of patient-specific additive-manufactured implants.Frontiers in bioengineering and biotechnology · 2024
    Article
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  10. A BIOMECHANICAL AND THERMAL ANALYSIS FOR BONE AUGMENTATION OF THE PROXIMAL FEMUR.International Mechanical Engineering Congress and Exposition : [proceedings]. International Mechanical Engineering Congress and Exposition · 2018
    Article
  11. Review
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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

6 authors.

Ehsan BasafaLaboratory for Computational Sensing & Robotics, Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA. basafa@jhu.edu
Robert S Armiger
Michael D Kutzer
Stephen M Belkoff
Simon C Mears
Mehran Armand

Funding

Image-Guided Osteoporotic Bone Augmentation with Intraoperative Biomechanical GuiR21EB007747 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI ARMAND, MEHRAN · 2007 to 2009
$1.1M
Preoperative Planning of FemoroplastyR21AR063815 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI ARMAND, MEHRAN · 2013 to 2014
$346k
NIAMS NIH HHS R21 AR063815NIBIB NIH HHS 5 R21 EB0077747-03NIBIB NIH HHS R21 EB007747
6 · The paper itself

Abstract

The aim of this study was to provide a fast and accurate finite element (FE) modeling scheme for predicting bone stiffness and strength suitable for use within the framework of a computer-assisted osteoporotic femoral bone augmentation surgery system. The key parts of the system, i.e. preoperative planning and intraoperative assessment of the augmentation, demand the finite element model to be solved and analyzed rapidly. Available CT scans and mechanical testing results from nine pairs of osteoporotic femur bones, with one specimen from each pair augmented by polymethylmethacrylate (PMMA) bone cement, were used to create FE models and compare the results with experiments. Correlation values of R(2)=0.72-0.95 were observed between the experiments and FEA results which, combined with the fast model convergence (~3 min for ~250,000 degrees of freedom), makes the presented modeling approach a promising candidate for the intended application of preoperative planning and intraoperative assessment of bone augmentation surgery.

Indexed as

Finite Element AnalysisPrecision MedicineBiomechanical PhenomenaFemurHumansMaterials TestingSurgery, Computer-AssistedTime Factors

Identifiers

PMID23375663
PMCPMC4476497

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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.