gms | German Medical Science

German Congress of Orthopaedics and Traumatology (DKOU 2019)

22. - 25.10.2019, Berlin

Radiographic parameters of cortical difference for detection of tibial fracture malrotation

Meeting Abstract

  • Christian Zeckey - Medizinische Hochschule Hannover, Unfallchirurgische Klinik, Hannover, Germany
  • Konstantin Küßner - Klinikum der LMU, Klinik für Allgemeine, Unfall- und Wiederherstellungschirurgie, München, Germany
  • Eduardo Suero - Department of General, Trauma and Reconstructive Surgery, University Hospital Munich LMU, Munich, Germany
  • Christian Kammerlander - Klinikum der LMU, Klinik für Allgemeine, Unfall- und Wiederherstellungschirurgie, München, Germany
  • Wolfgang Böcker - Klinikum der LMU, Klinik für Allgemeine, Unfall- und Wiederherstellungschirurgie, München, Germany
  • Alexander Keppler - Klinikum der LMU, Klinik für Allgemeine, Unfall- und Wiederherstellungschirurgie, München, Germany

Deutscher Kongress für Orthopädie und Unfallchirurgie (DKOU 2019). Berlin, 22.-25.10.2019. Düsseldorf: German Medical Science GMS Publishing House; 2019. DocAB27-1524

doi: 10.3205/19dkou147, urn:nbn:de:0183-19dkou1471

Published: October 22, 2019

© 2019 Zeckey et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.


Outline

Text

Objectives: Axial malrotation is a common complication of long-bone intramedullary nailing. Uncorrected malrotation can lead to early joint degeneration and arthrosis. Rates of malrotation in the femur have been commonly reported to range between 20-35% of cases. Intraoperative rotation control is hard to achieve and many methods have been proposed, including the cortical step sign and the diameter difference sign. While malrotation of the tibia has not received as much attention in the literature, but recent reports using mnewer imaging techniques have reported a tibial malrotation incidence of 23-36%. In the current study, we aimed to quantify radiographic parameters of tibial malrotation and to develop new intraoperative techniques for detecting malrotation using radiographic imaging.

Methods: 19 human tibia specimens were harvested and used in this study. An intramedullary rod was applied to each specimen for stability and transverse fractures of the proximal, middle and distal thirds of the tibia were simulated through osteotomy. At each segment, 5-degree stepwise increases in internal and external malrotation were performed from 0 to 30 degrees. At each step, AP and lateral fluoroscopic images were obtained, as well as a 3D scan using a C-arm with 3D capability. The differences in cortical thickness and tibial diameter between the proximal and distal segments at each osteotomy location were measured at each 5-degree step. In addition, the 3D images were analyzed to find correlations between several anatomic parameters and clinically relevant malrotation.

Results and conclusion: We were able to successfully simulate transverse fractures of the proximal, middle and distal thirds in all tibial specimens. The differences in cortical thickness and tibial diameter may be helpful clues in identifying clinically relevant malrotation intraoperatively. We are currently analyzing the three-dimensional image scans to develop a comprehensive method for accurate detection of intraoperative malrotation. The final results of this research are ongoing and will be available in short fashion. This research has the potential to impact routine orthopaedic trauma practice by improving the detection of intraoperative tibial malrotation and reducing the need for revision surgery.