gms | German Medical Science

Deutscher Kongress für Orthopädie und Unfallchirurgie (DKOU 2024)

22. - 25.10.2024, Berlin

3D-printing rapid prototyping for acetabular fracture classification and educating young surgeons

Meeting Abstract

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  • presenting/speaker Ming Li - Xi'an Honghui Hospital, Xi'an, China
  • Chen Ren - Xi'an Honghui Hospital, Xi'an, China
  • Zhong Li - Xi'an Honghui Hospital, Xi'an, China
  • Yangyang Jiang - Xi'an Medical University, Xi'an, China

Deutscher Kongress für Orthopädie und Unfallchirurgie (DKOU 2024). Berlin, 22.-25.10.2024. Düsseldorf: German Medical Science GMS Publishing House; 2024. DocAB11-2524

doi: 10.3205/24dkou001, urn:nbn:de:0183-24dkou0018

Veröffentlicht: 21. Oktober 2024

© 2024 Li et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.


Gliederung

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Objectives: To evaluate the application of 3D-printing rapid prototyping in the classification of acetabular fracture and education of young surgeons.

Methods: 20 patients with acetabular fractures were retrospectively analyzed in this study. Random number for each 3D-printing models and series of conventional radiographs (AP pelvis, Judet views and CT scans) in the blind. Then, three professional orthopaedic surgeons and three resident orthopaedic surgeons independently classified each fracture using 3D-printing model alone and conventional radiographs alone. 4 weeks later, marked with random number again and repeated the above experiment. The kappa statistic was used to evaluate inter- and intraobserver agreement.

Results: At the first assessment, interobserver agreement of the conventional radiographs and 3D-printing model was 0.887 and 0.962 between professional surgeons, for the resident surgeons was 0.659 and 0.849. The second assessment showed intraobserver agreement was 0.906 for conventional radiographs and 0.925 for 3D-printing model in professional surgeons group. For the resident surgeons group the kappa statistic using conventional radiographs was 0.696, while using the model was 0.849.

Conclusions: Compared with conventional radiographs, 3D-printing could effectively enhance the reliability of acetabular fracture classification, and is more helpful for young surgeons understanding of these injuries that contribute to the medical education.