Evidence map›Paper›PMID 25723187›Full record

ArticlePloS one2015

In-vivo assessment of femoral bone strength using Finite Element Analysis (FEA) based on routine MDCT imaging: a preliminary study on patients with vertebral fractures.

Hans Liebl, Eduardo Grande Garcia, Fabian Holzner, Peter B Noel, Rainer Burgkart, Ernst J Rummeny, Thomas Baum, Jan S Bauer

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. CT image-based biomarkers for opportunistic screening of osteoporotic fractures: a systematic review and meta-analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
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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

8 authors.

Hans LieblDepartment of Radiology, Klinikum rechts der Isar, Technische Universitaet Muenchen, Muenchen, Germany.
Eduardo Grande GarciaDepartment of Radiology, Klinikum rechts der Isar, Technische Universitaet Muenchen, Muenchen, Germany; Department of Orthopaedic Surgery, Klinikum rechts der Isar, Technische Universitaet Muenchen, Muenchen, Germany.
Fabian HolznerDepartment of Orthopaedic Surgery, Klinikum rechts der Isar, Technische Universitaet Muenchen, Muenchen, Germany.
Peter B NoelDepartment of Radiology, Klinikum rechts der Isar, Technische Universitaet Muenchen, Muenchen, Germany.
Rainer BurgkartDepartment of Orthopaedic Surgery, Klinikum rechts der Isar, Technische Universitaet Muenchen, Muenchen, Germany.
Ernst J RummenyDepartment of Radiology, Klinikum rechts der Isar, Technische Universitaet Muenchen, Muenchen, Germany.
Thomas BaumDepartment of Radiology, Klinikum rechts der Isar, Technische Universitaet Muenchen, Muenchen, Germany.
Jan S BauerSection of Neuroradiology, Klinikum rechts der Isar, Technische Universitaet Muenchen, Muenchen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo experimentally validate a non-linear finite element analysis (FEA) modeling approach assessing in-vitro fracture risk at the proximal femur and to transfer the method to standard in-vivo multi-detector computed tomography (MDCT) data of the hip aiming to predict additional hip fracture risk in subjects with and without osteoporosis associated vertebral fractures using bone mineral density (BMD) measurements as gold standard.

methodsOne fresh-frozen human femur specimen was mechanically tested and fractured simulating stance and clinically relevant fall loading configurations to the hip. After experimental in-vitro validation, the FEA simulation protocol was transferred to standard contrast-enhanced in-vivo MDCT images to calculate individual hip fracture risk each for 4 subjects with and without a history of osteoporotic vertebral fractures matched by age and gender. In addition, FEA based risk factor calculations were compared to manual femoral BMD measurements of all subjects.

resultsIn-vitro simulations showed good correlation with the experimentally measured strains both in stance (R2 = 0.963) and fall configuration (R2 = 0.976). The simulated maximum stress overestimated the experimental failure load (4743 N) by 14.7% (5440 N) while the simulated maximum strain overestimated by 4.7% (4968 N). The simulated failed elements coincided precisely with the experimentally determined fracture locations. BMD measurements in subjects with a history of osteoporotic vertebral fractures did not differ significantly from subjects without fragility fractures (femoral head: p = 0.989; femoral neck: p = 0.366), but showed higher FEA based risk factors for additional incident hip fractures (p = 0.028).

conclusionFEA simulations were successfully validated by elastic and destructive in-vitro experiments. In the subsequent in-vivo analyses, MDCT based FEA based risk factor differences for additional hip fractures were not mirrored by according BMD measurements. Our data suggests, that MDCT derived FEA models may assess bone strength more accurately than BMD measurements alone, providing a valuable in-vivo fracture risk assessment tool.

Indexed as

Mechanical PhenomenaModels, TheoreticalAbsorptiometry, PhotonAgedBone DensityCase-Control StudiesComputer SimulationFemaleFemurHumansMaleMiddle AgedRisk AssessmentRisk FactorsSpinal FracturesTomography, X-Ray Computed

Identifiers

PMID25723187
PMCPMC4344329

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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.