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Numerical evaluation of sequential bone drilling strategies based on thermal damage
Bruce L Tai1, Andrew C Palmisano2, Barry Belmont3
1Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843, United States .
Medical Engineering & Physics
|July 12, 2015
Summary
Using twist drills over Kirschner wires and optimizing drilling intervals can reduce heat damage during sequential bone drilling, preventing thermal osteonecrosis and improving surgical outcomes.
Area of Science:
- Biomedical Engineering
- Orthopedic Surgery
- Computational Modeling
Background:
- Sequential bone drilling is crucial for joint fusion but generates significant heat.
- This heat accumulation can lead to thermal osteonecrosis and surgical complications.
- Current clinical practices often lack effective heat management strategies.
Purpose of the Study:
- To develop and validate a 3D finite element model for simulating heat propagation during sequential bone drilling.
- To investigate the thermal effects of different drilling tools and parameters.
- To evaluate potential clinical solutions for mitigating thermally-induced bone damage.
Main Methods:
- Development of a 3D finite element model incorporating bone material properties and a necrosis criteria.
- Simulation of sequential drilling using Kirschner wires and twist drills.
- Experimental validation of bone temperature measurements.
- Finite element analysis of three heat reduction strategies: tool selection, time interval, and drilling sequence.
Main Results:
- Twist drills generate less heat than Kirschner wires, making them preferable.
- Shorter time intervals between drilling passes reduce overall heat exposure.
- Optimizing the drilling sequence can decrease thermal damage, though the effect may be limited.
Conclusions:
- The developed finite element model is a feasible tool for studying clinical issues related to bone drilling.
- Clinical strategies like using twist drills and adjusting drilling intervals can effectively reduce thermal osteonecrosis.
- This computational approach can inform the development of safer surgical techniques.

