The University of Sheffield
4 files

Data for the paper: "Patient-specific finite element models of posterior pedicle screw fixation: effect of screw's size and geometry"

posted on 2021-02-20, 09:19 authored by Enrico Dall'AraEnrico Dall'Ara
Data used in the paper: "Patient-specific finite element models of posterior pedicle screw fixation: effect of screw's size and geometry"
Sensale, Vendeuvre, Schilling, Grupp, Rochette and Dall'Ara published in Frontiers Bioengineering and Biotechnology

We share here the results and one example of FE models for the implanted vertebrae.

Short description of the files included:

-) the results of the paper are reported in "Results_file.xlsx". In this file, there are different sheets:

.NumElements_CompTime - this contains the number of elements and computational time to solve the FE models, reported in Table 2 and 3;

.MeshConvergenceStudy - this contains the results of the Mesh convergence study reported in Figure 3.

.Sensitivity Deflection - Stress AND Sensitivity Strain - these contain the results of the sensitivity analysis reported in Table 4, 5 and 6;

.Correlation - this contains the results of the correlation analysis reported in Figure 6;

-) In the "Frequency_plot_files" folder, the result files for the frequency plots reported in Figure 7 are reported:

.MinStrainMeshPoints(...).txt - these files contains the values of minimum principal strain used in the frequency plots in Figure 7.

-) The "Example_Model" folder contains an example of the models used in the sensitivity analysis for Patient #3 with simplified pedicle screw with diamter D6.5mm and length L45mm

The folder contains:

- the Ansys workbench 2020R2 project file corresponding to the model in the name of the folder;

- the corresponding geometry SpaceClaim file;

- the Ansys cdb mesh file exported from Bonemat;

- the calibration xml file used in Bonemat;

- the Ansys apdl command snippet used in Mechanical to build an heterogeneous model of the bone.

In case the reader is interested in the whole database they should contact Dr Enrico Dall'Ara (


This project was partially funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska‐Curie grant agreement Spinner No. 766012, and by the Engineering and Physical Sciences Research Council (EPSRC) Frontier Multisim Grant (EP/K03877X/1 and EP/S032940/1).



  • There is no personal data or any that requires ethical approval


  • The data complies with the institution and funders' policies on access and sharing

Sharing and access restrictions

  • The data can be shared openly

Data description

  • The file formats are open or commonly used

Methodology, headings and units

  • There is a readme.txt file describing the methodology, headings and units

Usage metrics

    Department of Oncology & Metabolism



    Ref. manager