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Semi-Automatic Generation of Preoperative Surgical Plans for Complex Femoral Deformity Correction

5 pagesPublished: December 17, 2024

Abstract

Complex bone deformation of the femur can occur in bone disease. This can cause significant functional impairment and is often an indication for surgery. Current technology enables preoperative planning and execution of these complex multi-planar osteotomies with high accuracy. A novel solution is presented that generates preoperative plans using Blender. The model automatically optimizes femoral shaft shape within the boundaries of clinical constraints. 20 cases of femoral deformity were processed by the model retrospectively. Eighteen of twenty preoperative plans were accepted by two independent clinical experts. This shows the ability of the model to generate preoperative plans of sufficient clinical quality. Four random cases were compared to manual preoperative planning. These showed comparable results. The collum anteversion angle was normalized in four cases in the automatic group and only in one for the manual group. The manual planning process was slower in every case, ranging from 31% to 575% slower. The proposed method, allows fast interactive surgical planning within a constraint based design and is a promising aide for complex femoral correction planning.

Keyphrases: automation, deformity correction, femoral deformity, preoperative planning

In: Joshua W Giles and Aziliz Guezou-Philippe (editors). Proceedings of The 24th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 7, pages 58-62.

BibTeX entry
@inproceedings{CAOS2024:Semi_Automatic_Generation_Preoperative,
  author    = {Felix Dikland and Jasper Gerbers and Bart Kaptein},
  title     = {Semi-Automatic Generation of Preoperative Surgical Plans for Complex Femoral Deformity Correction},
  booktitle = {Proceedings of The 24th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery},
  editor    = {Joshua W Giles and Aziliz Guezou-Philippe},
  series    = {EPiC Series in Health Sciences},
  volume    = {7},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {/publications/paper/Cx71},
  doi       = {10.29007/1dg3},
  pages     = {58-62},
  year      = {2024}}
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