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MRI-derived bone porosity index correlates to bone composition and mechanical stiffness
Abigail L Hong1, Mikayel Ispiryan1, Mugdha V Padalkar2
1Department of Radiology, University of Pennsylvania, United States of America.
Bone Reports
|August 3, 2019
Summary
The MRI-derived porosity index (PI) accurately predicts bone
Area of Science:
- Biomaterials Science
- Medical Imaging
- Orthopedics
Background:
- The MRI-derived porosity index (PI) non-invasively quantifies bone porosity.
- Its ability to predict bone's organic composition and mechanical properties is not fully understood.
Purpose of the Study:
- To investigate if MRI-derived PI can quantify bone organic composition and mechanical properties.
- To compare PI with near-infrared spectral imaging (NIRSI) for collagen and water content, and with mechanical compression data.
Main Methods:
- Human cadaveric tibiae (n=18) were analyzed.
- MRI-derived PI, NIRSI for collagen and bound water content, and biomechanical compression testing were performed.
Main Results:
- PI strongly inversely correlated with bone stiffness, collagen, and bound water content (r=-0.79 to -0.95).
- PI alone moderately predicted bone stiffness (R²=0.63).
- NIRSI data combined moderately predicted bone stiffness (R²=0.52).
Conclusions:
- MRI-derived PI is a strong predictor of bone's organic composition and a moderate predictor of bone stiffness.
- NIRSI shows potential for pre-clinical bone pathology studies.
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