Evidence map›Paper›PMID 25468663›Full record

ArticleJournal of biomechanics2015

Subject-specific planning of femoroplasty: an experimental verification study.

Ehsan Basafa, Ryan J Murphy, Yoshito Otake, Michael D Kutzer, Stephen M Belkoff, Simon C Mears, Mehran Armand

Abstract readComparative Study
In one paragraph

Article in Journal of biomechanics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 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
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  7. Fiducial-Free 2D/3D Registration for Robot-Assisted Femoroplasty.IEEE transactions on medical robotics and bionics · 2020
    Article
  8. Review
  9. Treatment of bone loss in proximal femurs of postmenopausal osteoporotic women with AGN1 local osteo-enhancement procedure (LOEP) increases hip bone mineral density and hip strength: a long-term prospective cohort study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020
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  13. 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
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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

7 authors.

Ehsan BasafaLaboratory for Computational Sensing & Robotics, Johns Hopkins University, Baltimore, MD, USA. Electronic address: basafa@jhu.edu.
Ryan J MurphyLaboratory for Computational Sensing & Robotics, Johns Hopkins University, Baltimore, MD, USA; Research and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
Yoshito OtakeGraduate School of Information Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan.
Michael D KutzerUS Naval Academy, Annapolis, MD, USA.
Stephen M BelkoffInternational Center for Orthopaedic Advancement, Bayview Medical Center, Johns Hopkins University, Baltimore, MD, USA.
Simon C MearsTotal Joint Replacement Center, Baylor Regional Medical Center, Plano, TX, USA.
Mehran ArmandLaboratory for Computational Sensing & Robotics, Johns Hopkins University, Baltimore, MD, USA; Research and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.

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 AR063815NIAMS NIH HHS R21-AR063815NIBIB NIH HHS R21 EB007747NIBIB NIH HHS R21-EB007747
6 · The paper itself

Abstract

The risk of osteoporotic hip fractures may be reduced by augmenting susceptible femora with acrylic polymethylmethacrylate (PMMA) bone cement. Grossly filling the proximal femur with PMMA has shown promise, but the augmented bones can suffer from thermal necrosis or cement leakage, among other side effects. We hypothesized that, using subject-specific planning and computer-assisted augmentation, we can minimize cement volume while increasing bone strength and reducing the risk of fracture. We mechanically tested eight pairs of osteoporotic femora, after augmenting one from each pair following patient-specific planning reported earlier, which optimized cement distribution and strength increase. An average of 9.5(±1.7) ml of cement was injected in the augmented set. Augmentation significantly (P<0.05) increased the yield load by 33%, maximum load by 30%, yield energy by 118%, and maximum energy by 94% relative to the non-augmented controls. Also predicted yield loads correlated well (R(2)=0.74) with the experiments and, for augmented specimens, cement profiles were predicted with an average surface error of <2 mm, further validating our simulation techniques. Results of the current study suggest that subject-specific planning of femoroplasty reduces the risk of hip fracture while minimizing the amount of cement required.

Indexed as

Bone CementsFinite Element AnalysisPolymethyl MethacrylateAgedAged, 80 and overBiomechanical PhenomenaCadaverFemaleFemurHip FracturesHumansMaleModels, BiologicalOsteoporotic FracturesRisk FactorsStress, MechanicalBone CementsPolymethyl MethacrylateCement augmentationFemoroplastyMechanical testPlanning

Identifiers

PMID25468663
PMCPMC4274194

What OpenQuestion holds

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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.