Soft tissue prediction in orthognathic surgery: Improving accuracy by means of anatomical details

PLoS One. 2023 Nov 27;18(11):e0294640. doi: 10.1371/journal.pone.0294640. eCollection 2023.

Abstract

Three-dimensional virtual simulation of orthognathic surgery is now a well-established method in maxillo-facial surgery. The commercial software packages are still burdened by a consistent imprecision on soft tissue predictions. In this study, the authors produced an anatomically detailed patient specific numerical model for simulation of soft tissue changes in orthognathic surgery. Eight patients were prospectively enrolled. Each patient underwent CBCT and planar x-rays prior to surgery and in addition received an MRI scan. Postoperative soft-tissue change was simulated using Finite Element Modeling (FEM) relying on a patient-specific 3D models generated combining data from preoperative CBCT (hard tissue) scans and MRI scans (muscles and skin). An initial simulation was performed assuming that all the muscles and the other soft tissue had the same material properties (Homogeneous Model). This model was compared with the postoperative CBCT 3D simulation for validation purpose. Design of experiments (DoE) was used to assess the effect of the presence of the muscles considered and of their variation in stiffness. The effect of single muscles was evaluated in specific areas of the midface. The quantitative distance error between the homogeneous model and actual patient surfaces for the midface area was 0.55 mm, standard deviation 2.9 mm. In our experience, including muscles in the numerical simulation of orthognathic surgery, brought an improvement in the quality of the simulation obtained.

MeSH terms

  • Cephalometry / methods
  • Face / anatomy & histology
  • Facial Bones
  • Humans
  • Imaging, Three-Dimensional / methods
  • Orthognathic Surgery*
  • Orthognathic Surgical Procedures* / methods

Grants and funding

“The work has been funded by Great Ormond Street Hospital for Children Charity (grant number 12SG15) as well as the NIHR Biomedical Research Centre Advanced Therapies for Structural Malformations and Tissue Damage pump-prime funding call (grant n. 17DS18), the Great Ormond Street Hospital Charity Clinical Research Starter Grant (grant n. 17DD46) and the European Research Council (ERC-2017-StG-757923). This report incorporates independent research from the National Institute for Health Research Biomedical Research Centre Funding Scheme. The views expressed in this publication are those of the author(s) and not necessarily those of the NHS, the National Institute for Health Research or the Department of Health.” the funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.