Identifying Mini-Plate Configurations with High Predicted Bone Union Propensity for Mandibular Reconstruction Surgery

6 pages•Published: January 5, 2026

Merlin Bettin, Hamidreza Aftabi, John E Lloyd, Eitan Prisman, Sidney Fels and Antony Hodgson

Abstract

Mandibular reconstruction with bone grafts remains the gold standard for restoring masticatory function and facial aesthetics in patients with jaw defects. However, definitive guidelines for selecting plate types and fixation strategies remain lacking. This study evaluates different miniplate configurations to optimize bone union propensity (BUP) using physics-based simulation and finite element modeling. Various plate placements and screw configurations, covering a total of 10 cases, were tested to assess their impact on strain energy distribution and bone healing potential. The results indicate that miniplates with four screws provide superior stability and that higher placement enhances fixation. These findings contribute to refining patient-specific reconstruction strategies and improving surgical outcomes.

Keyphrases: computational modeling, finite element modeling, mandibular reconstruction surgery, miniplate design, optimization, physics based simulation

In: Joshua William Giles and Aziliz Guezou-Philippe (editors). Proceedings of The 25th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 8, pages 44-49.

Links:	https://easychair.org/publications/paper/JXpn
	https://doi.org/10.29007/lkrm

BibTeX entry

@inproceedings{CAOS2025:Identifying_Mini_Plate_Configurations,
  author    = {Merlin Bettin and Hamidreza Aftabi and John E Lloyd and Eitan Prisman and Sidney Fels and Antony Hodgson},
  title     = {Identifying Mini-Plate Configurations with High Predicted Bone Union Propensity for Mandibular Reconstruction Surgery},
  booktitle = {Proceedings of The 25th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery},
  editor    = {Joshua William Giles and Aziliz Guezou-Philippe},
  series    = {EPiC Series in Health Sciences},
  volume    = {8},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {/publications/paper/JXpn},
  doi       = {10.29007/lkrm},
  pages     = {44-49},
  year      = {2026}}

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