Using Magnetic Resonance for Predicting Femoral Strength: Added Value with respect to Bone Densitometry

Background and Purpose. To evaluate the added value of MRI with respect to peripheral quantitative computed tomography (pQCT) and dual energy X-ray absorptiometry (DXA) for predicting femoral strength. Material and Methods. Bone mineral density (BMD) of eighteen femur specimens was assessed with pQC...

Full description

Saved in:
Bibliographic Details
Published in:BioMed research international 2015-01, Vol.2015 (2015), p.1-5
Main Authors: de Mey, Johan, Luypaert, Robert, Strantza, Maria, Fierens, Yves, Louis, Olivia, Cattrysse, Erik
Format: Article
Language:English
Subjects:
Absorptiometry, Photon
Biomechanical Phenomena
Biomechanics
Bone densitometry
Bone Density
Bones
Cadavers
Densitometry - methods
Density
Femur - anatomy & histology
Femur - physiology
Fractures
Humans
Hydroxyapatite
Linear Models
Load
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Methods
Software
Tomography
Tomography, X-Ray Computed
Variables
X-rays
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Background and Purpose. To evaluate the added value of MRI with respect to peripheral quantitative computed tomography (pQCT) and dual energy X-ray absorptiometry (DXA) for predicting femoral strength. Material and Methods. Bone mineral density (BMD) of eighteen femur specimens was assessed with pQCT, DXA, and MRI (using ultrashort echo times (UTE) and the MicroView software). Subsequently biomechanical testing was performed to assess failure load. Simple and multiple linear regression were used with failure load as the dependent variable. Results. Simple linear regression allowed a prediction of failure load with either pQCT, DXA, or MRI in an r2 range of 0.41–0.48. Multiple linear regression with pQCT, DXA, and MRI yielded the best prediction (r2=0.68). Conclusions. The accuracy of MRI, using UTE and MicroView software, to predict femoral strength compares well with that of pQCT or DXA. Furthermore, the inclusion of MRI in a multiple-regression model yields the best prediction.
ISSN:2314-6133
2314-6141
DOI:10.1155/2015/801518