Evidence map›Paper›PMID 31926345›Full record

ArticleBone2020

MRI-based assessment of proximal femur strength compared to mechanical testing.

Chamith S Rajapakse, Alexander R Farid, Daniel C Kargilis, Brandon C Jones, Jae S Lee, Alyssa J Johncola, Alexandra S Batzdorf, Snehal S Shetye, Michael W Hast, Gregory Chang

Abstract read
In one paragraph

Article in Bone, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  5. Article
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  7. Review
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  9. Review
  10. Biomechanical models: key considerations in study design.OTA international : the open access journal of orthopaedic trauma · 2021
    Article
  11. Article
  12. Article
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

10 authors.

Chamith S RajapakseDepartment of Radiology, University of Pennsylvania, United States of America; Department of Orthopaedic Surgery, University of Pennsylvania, United States of America. Electronic address: chamith@mail.med.upenn.edu.
Alexander R FaridDepartment of Radiology, University of Pennsylvania, United States of America.
Daniel C KargilisDepartment of Radiology, University of Pennsylvania, United States of America.
Brandon C JonesDepartment of Radiology, University of Pennsylvania, United States of America.
Jae S LeeDepartment of Radiology, University of Pennsylvania, United States of America.
Alyssa J JohncolaDepartment of Radiology, University of Pennsylvania, United States of America.
Alexandra S BatzdorfDepartment of Radiology, University of Pennsylvania, United States of America.
Snehal S ShetyeDepartment of Orthopaedic Surgery, University of Pennsylvania, United States of America.
Michael W HastDepartment of Orthopaedic Surgery, University of Pennsylvania, United States of America.
Gregory ChangDepartment of Radiology, New York University, United States of America.

Funding

MRI of Proximal Femur Microarchitecture as a Biomarker of Bone QualityR01AR066008 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHANG, GREGORY · 2014 to 2018
$2.8M
MRI of Proximal Femur Bone Quality for Monitoring Short-Term Response to Osteoporosis TherapyR01AR073851 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHANG, GREGORY · 2019 to 2023
$2.8M
MRI Assessment of Hip Fracture Risk and Therapy Response in HIV/HCV CoinfectionR01AR076392 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI RAJAPAKSE, CHAMITH SUDESH · 2019 to 2023
$2.7M
Translation of Hip Microarchitectural Assessment Technology to the Clinic to Diagnose Glucocorticoid-Induced OsteoporosisR01AR070131 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHANG, GREGORY · 2016 to 2020
$2.7M
Training in Structural, Physiologic and Functional MRIT32EB020087 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI JAMES C GEE, Chamith Sudesh Rajapakse · 2016 to 2026
$2.1M
Clinical Assessment of Hip Fracture Biomechanics using MRIR01AR068382 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI RAJAPAKSE, CHAMITH SUDESH · 2015 to 2019
$1.8M
NIAMS NIH HHS R01 AR066008NIAMS NIH HHS R01 AR068382NIAMS NIH HHS R01 AR070131NIAMS NIH HHS R01 AR073851NIAMS NIH HHS R01 AR076392NIBIB NIH HHS T32 EB020087
6 · The paper itself

Abstract

Half of the women who sustain a hip fracture would not qualify for osteoporosis treatment based on current DXA-estimated bone mineral density criteria. Therefore, a better approach is needed to determine if an individual is at risk of hip fracture from a fall. The objective of this study was to determine the association between radiation-free MRI-derived bone strength and strain simulations compared to results from direct mechanical testing of cadaveric femora. Imaging was conducted on a 3-Tesla MRI scanner using two sequences: one balanced steady-state free precession sequence with 300 μm isotropic voxel size and one spoiled gradient echo with anisotropic voxel size of 234 × 234 × 1500 μm. Femora were dissected free of soft-tissue and 4350-ohm strain-gauges were securely applied to surfaces at the femoral shaft, inferior neck, greater trochanter, and superior neck. Cadavers were mechanically tested with a hydraulic universal test frame to simulate loading in a sideways fall orientation. Sideways fall forces were simulated on MRI-based finite element meshes and bone stiffness, failure force, and force for plastic deformation were computed. Simulated bone strength metrics from the 300 μm isotropic sequence showed strong agreement with experimentally obtained values of bone strength, with stiffness (r = 0.88, p = 0.0002), plastic deformation point (r = 0.89, p < 0.0001), and failure force (r = 0.92, p < 0.0001). The anisotropic sequence showed similar trends for stiffness, plastic deformation point, and failure force (r = 0.68, 0.70, 0.84; p = 0.02, 0.01, 0.0006, respectively). Surface strain-gauge measurements showed moderate to strong agreement with simulated magnitude strain values at the greater trochanter, superior neck, and inferior neck (r = -0.97, -0.86, 0.80; p ≤0.0001, 0.003, 0.03, respectively). The findings from this study support the use of MRI-based FE analysis of the hip to reliably predict the mechanical competence of the human femur in clinical settings.

Indexed as

Hip FracturesMechanical TestsBone DensityFemaleFemurFemur NeckFinite Element AnalysisHumansMagnetic Resonance ImagingBiomechanicsCadaverFemurFinite element analysisHip FractureImagingMRI

Identifiers

PMID31926345
PMCPMC7096175

What OpenQuestion holds

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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.