Anmelden

Mayo Graduate School, Mayo Clinic College of Medicine, Mayo Clinic

4 ARTICLES PUBLISHED IN JoVE

Medicine

Proximal Cadaveric Femur Preparation for Fracture Strength Testing and Quantitative CT-based Finite Element Analysis

Dan Dragomir-Daescu^1,2, Asghar Rezaei^1,2, Susheil Uthamaraj², Timothy Rossman², James T. Bronk³, Mark Bolander³, Vincent Lambert², Sean McEligot², Rachel Entwistle², Hugo Giambini³, Iwona Jasiuk⁴, Michael J. Yaszemski³, Lichun Lu^1,3

¹Department of Physiology and Biomedical Engineering, Mayo Clinic, ²Division of Engineering, Mayo Clinic, ³Department of Orthopedic Surgery, Mayo Clinic, ⁴Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign

We present a robust protocol on how to carefully preserve and prepare cadaveric femora for fracture testing and quantitative computed tomography imaging. The method provides precise control over input conditions for the purpose of determining relationships between bone mineral density, fracture strength, and defining finite element model geometry and properties.

JoVE Core

Method and Instrumented Fixture for Femoral Fracture Testing in a Sideways Fall-on-the-Hip Position

Dan Dragomir-Daescu^1,2, Asghar Rezaei^1,2, Timothy Rossman², Susheil Uthamaraj², Rachel Entwistle², Sean McEligot², Vincent Lambert², Hugo Giambini³, Iwona Jasiuk⁴, Michael J. Yaszemski³, Lichun Lu^1,3

In this manuscript, we present a protocol to fracture test cadaveric proximal femora in a sideways fall on the hip configuration using instrumented fixtures mounted on a standard servo hydraulic frame. Nine digitized signals comprising forces, moments, and displacement along with two high speed video streams are acquired during testing.

Bioengineering

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation

Timothy Rossman¹, Susheil Uthamaraj¹, Asghar Rezaei^1,2, Sean McEligot¹, Hugo Giambini³, Iwona Jasiuk⁴, Michael J. Yaszemski³, Lichun Lu³, Dan Dragomir-Daescu^1,2

¹Division of Engineering, Mayo Clinic, ²Department of Physiology and Biomedical Engineering, Mayo Clinic, ³Department of Orthopedic Surgery, Mayo Clinic, ⁴Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign

In this protocol, the femur surface strains are estimated during fracture testing using the digital image correlation technique. The novelty of the method involves application of a high-contrast stochastic speckle pattern on the femur surface, carefully specified illumination, high speed video capture, and digital image correlation analysis for strain calculations.

Synthesis and Characterization of Charged Hydrogels for the Extended Delivery of Vancomycin

Carl T. Gustafson¹, Felix Boakye-Agyeman², Cassandra L. Brinkman³, Joel M. Reid¹, Robin Patel³, Zeljko Bajzer^4,5, Mahrokh Dadsetan⁵, Michael J. Yaszemski^5,6,1

¹Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Graduate School, Mayo Clinic College of Medicine, Mayo Clinic, ²Pharmacometrics Center, Duke Clinical Research Institute, ³Department of Laboratory Medicine and Pathology, Mayo Clinic, ⁴Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine, Mayo Clinic, ⁵Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Mayo Clinic, ⁶Department of Orthopedic Surgery, Mayo Graduate School, Mayo Clinic College of Medicine, Mayo Clinic

Here we describe the synthesis and use of oligo(poly(ethylene glycol)fumarate) / sodium methacrylate (OPF/SMA) charged copolymers as an affinity based delivery system for vancomycin.