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Updated: Jul 7, 2025

Fracture Apparatus Design and Protocol Optimization for Closed-stabilized Fractures in Rodents
Published on: August 14, 2018
Correlation Between Rod Fracture and Shear Stress: A Novel Parameter
Seth Street1, Abhijith V Matur1, Xu Tao1
1Department of Neurosurgery, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
A novel rod shear stress (RSS) parameter shows promise in predicting rod fracture (RF) risk after adult spinal deformity surgery. While the number of instrumented levels is also a strong predictor, RSS may offer a more personalized risk assessment.
Area of Science:
- Orthopedic Surgery
- Biomechanical Engineering
- Spinal Fusion Research
Background:
- Adult spinal deformity correction often involves spinal instrumentation.
- Rod fracture (RF) is a potential complication following spinal fusion surgery.
- Accurate identification of patients at risk for RF is crucial for surgical planning and patient outcomes.
Purpose of the Study:
- To evaluate the accuracy of a novel rod shear stress (RSS) parameter in predicting RF risk.
- To compare the predictive accuracy of RSS against its constituent variables, specifically the number of instrumented levels.
Main Methods:
- Retrospective review of adult spinal deformity patients (≥18 years) with ≥24 months follow-up.
- Calculation of RSS parameter (RSS=Nwd²) using patient weight (w), number of instrumented levels (N), and minimum rod diameter (d).
- Analysis using receiver operating characteristic (ROC) curves to determine area under the curve (AUC), sensitivity, specificity, and likelihood ratios (LRs).
Main Results:
- The RSS parameter demonstrated the highest discriminative accuracy with an AUC of 0.73 (±0.11).
- At a cutoff of 30.1, RSS achieved 71.4% sensitivity and 71.4% specificity (LR, 2.5).
- The number of instrumented levels showed a strong correlation with RFs, with an AUC of 0.65 (±0.12).
Conclusions:
- The RSS parameter, derived from readily available data, shows potential for predicting patient-specific RF risk after spinal fusion.
- The number of instrumented levels is also a significant predictor of RFs and is not substantially less accurate than RSS.
- Further prospective studies with larger sample sizes are recommended to definitively establish the superiority of RSS or other parameters for RF prediction.
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