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Pull out strength calculator for pedicle screws using a surrogate ensemble approach
, Vicky Varghese, Venkatesh Krishnan,
Published in Elsevier Ireland Ltd
2016
PMID: 28110717
Volume: 137
   
Pages: 11 - 22
Abstract

Background and objective Pedicle screw instrumentation is widely used in the treatment of spinal disorders and deformities. Currently, the surgeon decides the holding power of instrumentation based on the perioperative feeling which is subjective in nature. The objective of the paper is to develop a surrogate model which will predict the pullout strength of pedicle screw based on density, insertion angle, insertion depth and reinsertion. Methods A Taguchi's orthogonal array was used to design an experiment to find the factors effecting pullout strength of pedicle screw. The pullout studies were carried using polyaxial pedicle screw on rigid polyurethane foam block according to American society for testing of materials (ASTM F543). Analysis of variance (ANOVA) and Tukey's honestly significant difference multiple comparison tests were done to find factor effect. Based on the experimental results, surrogate models based on Krigging, polynomial response surface and radial basis function were developed for predicting the pullout strength for different combination of factors. An ensemble of these surrogates based on weighted average surrogate model was also evaluated for prediction. Results Density, insertion depth, insertion angle and reinsertion have a significant effect (p < 0.05) on pullout strength of pedicle screw. Weighted average surrogate performed the best in predicting the pull out strength amongst the surrogate models considered in this study and acted as insurance against bad prediction. Conclusions A predictive model for pullout strength of pedicle screw was developed using experimental values and surrogate models. This can be used in pre-surgical planning and decision support system for spine surgeon. © 2016 Elsevier Ireland Ltd

About the journal
JournalData powered by TypesetComputer Methods and Programs in Biomedicine
PublisherData powered by TypesetElsevier Ireland Ltd
ISSN01692607
Open AccessNo
Concepts (41)
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    Artificial intelligence
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    Decision support systems
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    Forecasting
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    Fuel additives
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    Materials testing
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    Radial basis function networks
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    Screws
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    Statistical methods
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    Surgery
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    HONESTLY SIGNIFICANT DIFFERENCES
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    MULTIPLE COMPARISON TEST
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    PEDICLE SCREWS
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    PULL OUT
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    RIGID POLYURETHANE FOAMS
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    SURGICAL PLANNING
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    SURROGATE
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    TAGUCHI'S ORTHOGONAL ARRAYS
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    Analysis of variance (anova)
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    POLYURETHAN FOAM
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    Polyurethan
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    Article
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    Biomechanics
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    Controlled study
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    Correlation coefficient
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    Density
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    Force
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    INSERTION ANGLE
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    INSERTION DEPTH
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    PEDICLE SCREW
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    Prediction
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    PULL OUT STRENGTH
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    REINSERTION
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    SIGNAL NOISE RATIO
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    Surface property
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    Taguchi orthogonal array
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    Human
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    SPINAL DISEASES
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    Humans
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    PEDICLE SCREWS
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    Polyurethanes
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    SPINAL DISEASES