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International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

18.01.2024 | Original Article

Algorithmically designed flaps in tongue reconstruction: a feasibility analysis

verfasst von: Amir Reza Isazadeh, Hadi Seikaly, Lindsey Westover, Daniel Aalto

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 4/2024

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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.

Vorheriger Artikel 3D magnetic seed localization for augmented reality in surgery

Nächster Artikel Thickness and design features of clinical cranial implants—what should automated methods strive to replicate?

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Titel: Algorithmically designed flaps in tongue reconstruction: a feasibility analysis
verfasst von: Amir Reza Isazadeh
Hadi Seikaly
Lindsey Westover
Daniel Aalto
Publikationsdatum: 18.01.2024
Verlag: Springer International Publishing
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 4/2024
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-024-03062-w

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Abstract

Purpose

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Conclusion

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