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Updated: Jan 30, 2026

Proximal Cadaveric Femur Preparation for Fracture Strength Testing and Quantitative CT-based Finite Element Analysis
Published on: March 11, 2017
Quantitative CT-based bone strength parameters for the prediction of novel spinal implant stability using resonance
Daisuke Nakashima1, Ken Ishii1,2, Yuji Nishiwaki3
1Department of Orthopedic surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, Japan.
Background:
To predict conventional test forces (peak torque and pull-out force) and a new test force (implant stability quotient [ISQ] value of a spinal pedicle screw) from computed tomography (CT) parameters, including micro-architectural parameters, using high-resolution micro-CT and clinical multislice CT (MSCT) in human cadaveric vertebrae.
Methods:
Micro-CT scans before/after screw insertion (n = 68) and MSCT scans before screw insertion (n = 58) of human cadaveric vertebrae were assessed for conventional test forces and ISQ value. Three-dimensional volume position adjustment between pre-insertion micro-CT and MSCT scans and post-insertion scans (micro-CT) was performed to extract the volume of the cancellous bone surrounding the pedicle screw. The following volume bone mineral density and micro-architectural parameters were calculated: bone volume fraction, bone surface density (bone surface/total volume (BS/TV)), trabecular thickness, trabecular separation, trabecular number, structure model index, and number of nodes (branch points) of the cancellous bone network/total volume (NNd/TV) using Spearman's rank correlation coefficient with Bonferroni correction.
Results:
Conventional test forces showed the strongest correlation with BS/TV: peak torque, ρ = 0.811, p = 4.96 × 10-17(micro-CT) and ρ = 0.730, p = 7.87 × 10-11 (MSCT); pull-out force, ρ = 0.730, p = 1.64 × 10-12 (micro-CT) and ρ = 0.693, p = 1.64 × 10-9 (MSCT). ISQ value showed the strongest correlation with NNd/TV: ρ = 0.607, p = 4.01 × 10-8 (micro-CT) and ρ = 0.515, p = 3.52 × 10-5 (MSCT).
Conclusions:
Test forces, including the ISQ value, can be predicted using micro-CT and MSCT parameters. This is useful for establishing a preoperative fixation strength evaluation system.
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