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  1. Home
  3. Accuracy Testing Of Torque Limit Determination Algorithm Intended For Smart Bone Screwdrivers.
  1. Home
  3. Accuracy Testing Of Torque Limit Determination Algorithm Intended For Smart Bone Screwdrivers.

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Accuracy Testing of Torque Limit Determination Algorithm Intended for Smart Bone Screwdrivers.

Jack A Wilkie1,2, Alberto Battistel1, Paul D Docherty3

  • 1Institute of Technical Medicine, Hochschule Furtwangen University, Jakob-Kienzle-Strasse 17, 78054 Schwenningen, Germany.

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|July 12, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

This study estimates bone screw stripping torque using insertion data, achieving 92.6% accuracy. This method could improve orthopaedic surgery fixation quality by preventing screw loosening or thread stripping.

Keywords:
bone screwparameter identificationsmart screwdrivertorque control

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Area of Science:

  • Orthopaedic Surgery
  • Biomaterials Engineering
  • Mechanical Engineering

Background:

  • Accurate screw torquing is critical in orthopaedic surgery for effective fracture fixation.
  • Over-tightening bone screws can lead to thread stripping, while under-tightening may cause loosening.
  • Current methods lack precise real-time feedback during screw insertion.

Purpose of the Study:

  • To develop and validate a method for estimating bone screw stripping torque using insertion data.
  • To predict screw stripping torque based on identified material strength.
  • To assess the correlation between estimated and experimentally determined stripping torques.

Main Methods:

  • Bone screws were inserted into polyurethane bone surrogates until stripping.
  • Torque and rotation data were collected during screw insertion.
  • Material strength was identified from insertion data to predict stripping torque.

    • Main Results:

    • A strong correlation (r=0.926) was found between estimated and actual stripping torques.
    • The prediction method exhibited a mean error of 18%.
    • Identified material strength values highly correlated with manufacturer data (r=0.977).

    Conclusions:

    • The developed approach demonstrates viability for estimating bone screw stripping torque.
    • This method shows potential for enhancing fracture fixation quality in orthopaedic surgery.
    • Further development and testing with diverse bone screws and human bone samples are needed for clinical application.