# Development of an Automatic Computer Program to Determine the Optimal Dental Implant Size and Position for Fibula Free Flap Surgery

## TL;DR

This paper introduces a new computer program to automatically determine the best dental implant size and position for fibula free flap surgery, improving efficiency and accuracy.

## Contribution

The first automatic computer program for osseointegrated implant design in fibula flap surgery is developed and validated.

## Key findings

- The program achieved 92% accuracy in identifying the fibula's anatomical orientation.
- It generated implant location, angulation, and length with 94% surgical feasibility.
- The program can integrate into current computer-assisted surgery workflows.

## Abstract

Computer-assisted surgery (CAS) and virtual surgical planning (VSP) have transformed jaw reconstruction, allowing immediate insertion of dental implants during surgery for better rehabilitation of occlusal function. However, traditional planning for optimal location and angulation of dental implants and fibula relies on experience and can be time-consuming. This study aimed to propose a function-driven workflow and develop an automatic computer program for optimal positioning of simultaneous dental implants and fibula segments. A customized computer program was developed using MATLAB. Computed tomography (CT) of the lower limbs of ninety-one Southern Chinese individuals was retrieved and cross-sections of three-dimensional (3D) fibula models were comprehensively investigated for implant installation. Our research proves that the accuracy of the program in identifying the anatomical orientation of the fibula was 92%. The ideal location, angulation and length of implant could be automatically generated based on any selected implant diameter, with a surgical feasibility of 94%. To the best of our knowledge, this is the first study to develop and validate a customized automatic computer program for osseointegrated implant design in fibula flap surgery. This program can be incorporated into the current workflow of CAS to further the development of reliable and efficient surgical planning for function-driven jaw reconstruction.