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A Modular Software System for Three Patterns of Acetabular Deficiency Analysis

6 pagesPublished: October 27, 2019

Abstract

In order to help orthopedists, evaluate the morphological characteristics of the acetabulum of patients with osteoarthritis, a 3-dimensional (3D) acetabular morphologic parameters measurements software dedicated to the hip was developed. The system includes three modules: 1) Identify the anterior pelvic plane (APP) of the pelvis model; 2) Identify the circular rim of the acetabular wall; 3) Automatically and interactively measure the 3D morphological parameters of the dysplastic acetabulum. The automatic parameter measurement function of this software could fast and accurately measure the 3D morphological parameters of the dysplastic acetabulum. These automatically measured parameters were close to those measured manually with error generally less than 2mm. This software was used to measure acetabular morphological parameters in 61 patients. Two types of dysplastic acetabula were identified by the thickness of the medial wall on the lower margin of the acetabulum Tb: type I was a thin acetabulum (35 cases, Tb≤10.0 mm) and type II was a thick acetabulum (26 cases, Tb >10.0 mm). the result of the acetabular morphological characteristic analysis, it can be found that the thickness of the medial wall is an important morphological characteristic for the THA preoperative surgical planning, and the thickened medial wall could be a misleading factor for the suboptimal placement of the cup.

Keyphrases: dysplastic acetabulum, morphology analysis, software, three-dimensional

In: Patrick Meere and Ferdinando Rodriguez Y Baena (editors). CAOS 2019. The 19th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 3, pages 460--465

Links:
BibTeX entry
@inproceedings{CAOS2019:Modular_Software_System_for,
  author    = {Linli Zheng and Yangyang Lin and Xiaoyan Zhang and Qianhui Ling and Weiming Liao and Peihui Wu},
  title     = {A Modular Software System for Three Patterns  of Acetabular Deficiency Analysis},
  booktitle = {CAOS 2019. The 19th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery},
  editor    = {Patrick Meere and Ferdinando Rodriguez Y Baena},
  series    = {EPiC Series in Health Sciences},
  volume    = {3},
  pages     = {460--465},
  year      = {2019},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {https://easychair.org/publications/paper/W9DW},
  doi       = {10.29007/wdsb}}
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