Open Access
CC BY 4.0 · VCOT Open 2023; 06(02): e84-e92
DOI: 10.1055/s-0043-1771233
Case Report

Correction of Angular Limb Deformities in Two Dogs Using a Conformation-Based Surgical Approach and Planning Software

Tyler J. Wyatt
1   Cornell University College of Veterinary Medicine, Ithaca, New York, United States
,
Albert C. Lynch
2   Albert Charles Lynch Surgery LLC, Philadelphia, Pennsylvania, United States
› Institutsangaben

Funding None.
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Abstract

The aim of this study is to describe a novel conformation-based approach to surgical planning and execution, as well as novel orthopaedic planning and rehearsal software. This report presents two cases of angular limb deformity correction, utilizing a novel conformation-based technique. A combination of computed tomography and radiographs was used to characterize the deformities for each case. Case 1 presented with a biapical deformity of the left antebrachium. Case 2 presented with deformities affecting the left femur and tibia. Rendering of a three-dimensional (3D) bone model, surgical planning, and production of multistep surgical jigs were executed using a traditional mesh-modeling workflow for case 1, whereas case 2 utilized the described novel software. No intraoperative complications were encountered while using the surgical kits. The multistep surgical jigs facilitated major procedural steps with precision, including application of definitive fixation. The novel software reduced the surgical planning time and the operator's requirement for 3D modeling skill. All osteotomies were stabilized in compression with acceptable alignment and good patient outcomes. This novel conformation-based approach and planning software, developed by the corresponding author, may provide an alternative method of correcting canine angular limb deformities. Further research on this technique and software is indicated before commercial availability.

Disclosure

The developed software is a proprietary and patented software under the corresponding author.




Publikationsverlauf

Eingereicht: 30. Januar 2023

Angenommen: 24. Mai 2023

Artikel online veröffentlicht:
11. August 2023

© 2023. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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