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Related Experiment Video

Updated: Jun 27, 2026

In Vivo Evaluation of the Mechanical and Viscoelastic Properties of the Rat Tongue

In Vivo Evaluation of the Mechanical and Viscoelastic Properties of the Rat Tongue

Published on: July 6, 2017

Algorithmically designed flaps in tongue reconstruction: a feasibility analysis.

Amir Reza Isazadeh¹, Hadi Seikaly^2,3, Lindsey Westover⁴

¹Department of Communication Sciences and Disorders, Faculty of Rehabilitation Medicine, University of Alberta, 6-129 Clinical Sciences Building, 11304 - 83 Ave NW, Edmonton, AB, T6G 2G3, Canada.

International Journal of Computer Assisted Radiology and Surgery

|January 18, 2024

Summary

The inverse finite element method (IFEM) offers a novel digital solution for designing free flaps in tongue reconstruction. This approach ensures optimal flap geometry, promoting better surgical outcomes and patient quality of life.

Keywords:

Head and neck cancer Oral cancer Personalized medicine Precision health Tongue reconstruction

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Last Updated: Jun 27, 2026

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Area of Science:

Biomedical Engineering
Surgical Technology
Computational Modeling

Background:

Tongue reconstruction surgery is complex and lacks dedicated digital design tools.
Free flap design is critical for successful functional recovery.
Current methods may not fully optimize flap geometry.

Purpose of the Study:

To investigate the efficacy of the inverse finite element method (IFEM) for designing free flaps in tongue reconstruction.
To address the need for a digital tool in optimizing flap geometry for surgical accuracy.

Main Methods:

An IFEM algorithm was developed for algorithmic flap design in a simulated hemiglossectomy.
Flap deformation, stress, strain, and thickness were analyzed in a virtual reconstruction.
The method's effectiveness was evaluated based on geometric and biomechanical parameters.

Main Results:

The IFEM successfully generated an optimal flap design for the simulated surgical defect.
Analysis confirmed the feasibility of flap deformation and adequate safety margins.
Predicted post-operative stress and thickness indicate no adverse impact on tongue mobility and functional recovery.

Conclusions:

The IFEM shows significant promise as a precise digital tool for free flap design in tongue reconstruction.
This computational approach can enhance surgical accuracy and improve patient outcomes.
Application of IFEM could lead to better functional recovery and quality of life.