Publication detail
Finite element analysis of 6 large PMMA skull reconstructions: A multi-criteria evaluation approach
RIDWAN-PRAMANA, A. MARCIÁN, P. BORÁK, L. NARRA, N. FOROUZANFAR, T. WOLFF, J.
English title
Finite element analysis of 6 large PMMA skull reconstructions: A multi-criteria evaluation approach
Type
WoS Article
Language
en
Original abstract
In this study 6 pre-operative designs for PMMA based reconstructions of cranial defects were evaluated for their mechanical robustness using finite element modeling. Clinical experience and engineering principles were employed to create multiple plan options, which were subsequently computationally analyzed for mechanically relevant parameters under 50N loads: stress, strain and deformation in various components of the assembly. The factors assessed were: defect size, location and shape. The major variable in the cranioplasty assembly design was the arrangement of the fixation plates. An additional study variable introduced was the location of the 50N load within the implant area. It was found that in smaller defects, it was simpler to design a symmetric distribution of plates and under limited variability in load location it was possible to design an optimal for expected loads. However, for very large defects with complex shapes, the variability in the load locations introduces complications to the intuitive design of the optimal assembly. The study shows that it can be beneficial to incorporate multi design computational analyses to decide upon the most optimal plan for a clinical case.
Keywords in English
Cranioplasty; FEM; PMMA; Cranial implant; Mechanical properties; plate distribution; fixation geometry
Released
2017-06-13
Publisher
PLOS
ISSN
1932-6203
Volume
12
Number
6
Pages from–to
1–16
Pages count
16
BIBTEX
@article{BUT137080,
author="Angela {Ridwan-Pramana} and Petr {Marcián} and Libor {Borák} and Nathaniel {Narra} and Tim {Forouzanfar} and Jan {Wolff}",
title="Finite element analysis of 6 large PMMA skull reconstructions: A multi-criteria evaluation approach",
journal="PLoS One",
year="2017",
volume="12",
number="6",
pages="1--16",
doi="10.1371/journal.pone.0179325",
issn="1932-6203",
url="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0179325"
}