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Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

DigBody^®: A new 3D modeling tool for nasal virtual surgery.

M A Burgos¹, E Sanmiguel-Rojas², Narinder Singh³

¹Departamento de Ingeniería Térmica y de Fluidos, Universidad Politécnica de Cartagena, Cartagena, Spain.

Computers in Biology and Medicine

|May 23, 2018

Summary

A new virtual surgery software, DigBody®, aids surgeons in planning nasal airway obstruction (NAO) procedures. This tool improves surgical outcomes by enabling virtual operations and CFD analysis, reducing failure rates.

Keywords:

Computational fluid dynamics Nasal airflow Virtual nasal surgery

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Area of Science:

Medical Simulation
Computational Fluid Dynamics
Rhinologic Surgery

Background:

High surgical failure rates in nasal airway obstruction (NAO) stem from a lack of objective preoperative planning tools.
Existing virtual surgery software often has complex interfaces, hindering accessibility for rhinology specialists.
There is a need for intuitive, user-friendly software for realistic virtual surgical planning.

Purpose of the Study:

Introduce DigBody®, a novel virtual surgery software tool designed for nasal airway obstruction.
Integrate DigBody® with computational fluid dynamics (CFD) for enhanced nasal airflow analysis.
Provide a user-friendly platform for virtual surgical planning and outcome prediction.

Main Methods:

DigBody® operates directly on 3D nasal models, simulating surgical procedures.
Integration with MeComLand®'s CFD program allows for nasal airflow analysis.
Post-virtual surgery assessment of the operated cavity is performed using CFD simulations.

Main Results:

The effectiveness of DigBody® was validated through real-world surgical cases.
Virtual surgery planning using DigBody® led to excellent surgical outcomes in two patients.
Patients experienced no residual nasal obstruction following procedures planned with DigBody®.

Conclusions:

DigBody® shows significant potential for improving surgical planning in NAO.
The software can aid surgeons in modeling maneuvers, minimizing complications, and ensuring optimal patient outcomes.
Personalized CFD testing integrated with virtual surgery provides robust validation for predicted results.