Literature DB >> 28110717

Pull out strength calculator for pedicle screws using a surrogate ensemble approach.

Vicky Varghese1, Palaniappan Ramu2, Venkatesh Krishnan3, Gurunathan Saravana Kumar4.   

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.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Pedicle screw; Pull out; Surgical planning; Surrogate

Mesh:

Substances:

Year:  2016        PMID: 28110717     DOI: 10.1016/j.cmpb.2016.08.023

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  7 in total

1.  Influence of thread design on anchorage of pedicle screws in cancellous bone: an experimental and analytical analysis.

Authors:  Martin Weidling; Martin Heilemann; Stephan Schoenfelder; Christoph E Heyde
Journal:  Sci Rep       Date:  2022-05-16       Impact factor: 4.996

2.  Bisegmental posterior stabilisation of thoracolumbar fractures with polyaxial pedicle screws: Does additional balloon kyphoplasty retain vertebral height?

Authors:  Julia Starlinger; Greta Lorenz; Alexandra Fochtmann-Frana; Kambiz Sarahrudi
Journal:  PLoS One       Date:  2020-05-18       Impact factor: 3.240

3.  Evaluating Pedicle-Screw Instrumentation Using Decision-Tree Analysis Based on Pullout Strength.

Authors:  Vicky Varghese; Venkatesh Krishnan; Gurunathan Saravana Kumar
Journal:  Asian Spine J       Date:  2018-07-27

4.  Testing Pullout Strength of Pedicle Screw Using Synthetic Bone Models: Is a Bilayer Foam Model a Better Representation of Vertebra?

Authors:  Vicky Varghese; Venkatesh Krishnan; Gurunathan Saravana Kumar
Journal:  Asian Spine J       Date:  2018-06-04

5.  Pullout Strength Predictor: A Machine Learning Approach.

Authors:  Ravi Khatri; Vicky Varghese; Sunil Sharma; Gurunathan Saravana Kumar; Harvinder Singh Chhabra
Journal:  Asian Spine J       Date:  2019-06-03

6.  Investigation of Bone Growth in Additive-Manufactured Pedicle Screw Implant by Using Ti-6Al-4V and Bioactive Glass Powder Composite.

Authors:  Tu-Ngoc Lam; Minh-Giam Trinh; Chih-Chieh Huang; Pei-Ching Kung; Wei-Chin Huang; Wei Chang; Lia Amalia; Hsu-Hsuan Chin; Nien-Ti Tsou; Shao-Ju Shih; San-Yuan Chen; Chun-Chieh Wang; Pei-I Tsai; Meng-Huang Wu; E-Wen Huang
Journal:  Int J Mol Sci       Date:  2020-10-09       Impact factor: 5.923

7.  A novel anatomic titanium mesh cage for reducing the subsidence rate after anterior cervical corpectomy: a finite element study.

Authors:  Yuhang Wang; Yi Zhan; Huiming Yang; Hua Guo; Haiping Zhang; Qinpeng Zhao; Dingjun Hao; Biao Wang
Journal:  Sci Rep       Date:  2021-07-28       Impact factor: 4.379

  7 in total

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