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Registration based assessment of femoral torsion for rotational osteotomies based on the contralateral anatomy.
Hoch, Armando; Hasler, Julian; Schenk, Pascal; Ackermann, Jakob; Ebert, Lars; Fürnstahl, Philipp; Zingg, Patrick; Vlachopoulos, Lazaros.
  • Hoch A; Department of Orthopaedics, Balgrist University Hospital, University of Zurich, Forchstrasse 340, 8008, Zurich, Switzerland. armando.hoch@balgrist.ch.
  • Hasler J; Department of Orthopaedics, Balgrist University Hospital, University of Zurich, Forchstrasse 340, 8008, Zurich, Switzerland.
  • Schenk P; Department of Orthopaedics, Balgrist University Hospital, University of Zurich, Forchstrasse 340, 8008, Zurich, Switzerland.
  • Ackermann J; Department of Orthopaedics, Balgrist University Hospital, University of Zurich, Forchstrasse 340, 8008, Zurich, Switzerland.
  • Ebert L; Zurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.
  • Fürnstahl P; Research in Orthopaedic Computer Science, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
  • Zingg P; Department of Orthopaedics, Balgrist University Hospital, University of Zurich, Forchstrasse 340, 8008, Zurich, Switzerland.
  • Vlachopoulos L; Department of Orthopaedics, Balgrist University Hospital, University of Zurich, Forchstrasse 340, 8008, Zurich, Switzerland.
BMC Musculoskelet Disord ; 23(1): 962, 2022 Nov 08.
Article en En | MEDLINE | ID: mdl-36348364
ABSTRACT

BACKGROUND:

Computer-assisted techniques for surgical treatment of femoral deformities have become increasingly important. In state-of-the-art 3D deformity assessments, the contralateral side is used as template for correction as it commonly represents normal anatomy. Contributing to this, an iterative closest point (ICP) algorithm is used for registration. However, the anatomical sections of the femur with idiosyncratic features, which allow for a consistent deformity assessment with ICP algorithms being unknown. Furthermore, if there is a side-to-side difference, this is not considered in error quantification. The aim of this study was to analyze the influence and value of the different sections of the femur in 3D assessment of femoral deformities based on the contralateral anatomy. MATERIAL AND

METHODS:

3D triangular surface models were created from CT of 100 paired femurs (50 cadavers) without pathological anatomy. The femurs were divided into sections of eponymous anatomy of a predefined percentage of the whole femoral length. A surface registration algorithm was applied to superimpose the ipsilateral on the contralateral side. We evaluated 3D femoral contralateral registration (FCR) errors, defined as difference in 3D rotation of the respective femoral section before and after registration to the contralateral side. To compare this method, we quantified the landmark-based femoral torsion (LB FT). This was defined as the intra-individual difference in overall femoral torsion using with a landmark-based method.

RESULTS:

Contralateral rotational deviation ranged from 0° to 9.3° of the assessed femoral sections, depending on the section. Among the sections, the FCR error using the proximal diaphyseal area for registration was larger than any other sectional error. A combination of the lesser trochanter and the proximal diaphyseal area showed the smallest error. The LB FT error was significantly larger than any sectional error (p < 0.001).

CONCLUSION:

We demonstrated that if the contralateral femur is used as reconstruction template, the built-in errors with the registration-based approach are smaller than the intraindividual difference of the femoral torsion between both sides. The errors are depending on the section and their idiosyncratic features used for registration. For rotational osteotomies a combination of the lesser trochanter and the proximal diaphyseal area sections seems to allow for a reconstruction with a minimal error.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades Óseas / Tomografía Computarizada por Rayos X Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades Óseas / Tomografía Computarizada por Rayos X Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article