Algorithmically designed flaps in tongue reconstruction: a feasibility analysis

Int J Comput Assist Radiol Surg. 2024 Apr;19(4):735-746. doi: 10.1007/s11548-024-03062-w. Epub 2024 Jan 18.

Abstract

Purpose: Despite the significance and complexity of tongue reconstruction surgery, a digital tool for flap design is currently lacking. This study investigates the effectiveness of employing inverse finite element method (IFEM) for meticulously designing the geometric characteristics of harvested tissue (free flap) for tongue reconstruction.

Methods: In the case of an artificially simulated hemiglossectomy, IFEM algorithm was applied for algorithmic flap design. The method's effectiveness was evaluated by assessing flap deformation in a simplified virtual reconstruction, focusing on parameters such as stress, strain, and thickness.

Results: The IFEM algorithm successfully generated an optimal flap design for the intended surgical removal. Analysis of the flap's overall surface area, deformation characteristics, and safety margins demonstrated the feasibility of the deformation. Notably, the stress and thickness assessments suggested that the flap's tension post-surgery would not adversely affect the mobility of the reconstructed tongue, suggesting a positive outcome for functional recovery.

Conclusion: The IFEM demonstrates significant potential as a tool for precise free flap design in tongue reconstruction surgeries. Its application could lead to improved surgical accuracy and better quality of life for patients undergoing such procedures.

Keywords: Head and neck cancer; Oral cancer; Personalized medicine; Precision health; Tongue reconstruction.

MeSH terms

  • Feasibility Studies
  • Free Tissue Flaps*
  • Humans
  • Quality of Life
  • Tongue / surgery
  • Tongue Neoplasms* / surgery