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Three-Dimensional (3D) Animation and Calculation for the Assessment of Engaging Hill-Sachs Lesions With Computed Tomography 3D Reconstruction.

Author(s): Tat J, Crawford J, Chong J, Powell T, Fevens TG, Popa T, Martineau PA

Purpose: To dynamically assess for Hill-Sachs engagement with animated 3-dimensional (3D) shoulder models. Methods: We created 3D shoulder models from reconstructed computed tomography (CT) images from a consecutive series of patients with recurrent anterio...

Article GUID: 33615252
A comparison of muscle activation and knee mechanics during gait between patients with non-traumatic and post-traumatic knee osteoarthritis.

Author(s): Robbins SM, Morelli M, Martineau PA, St-Onge N, Boily M, Dimentberg R, Antoniou J

A comparison of muscle activation and knee mechanics during gait between patients with non-traumatic and post-traumatic knee osteoarthritis.
Osteoarthritis Cartilage. 2019 Mar 18;:
Authors: Robbins SM, Morelli M, Martineau PA, St-Onge N, Boily M, Di...

Article GUID: 30898621
Title:Three-Dimensional (3D) Animation and Calculation for the Assessment of Engaging Hill-Sachs Lesions With Computed Tomography 3D Reconstruction.
Authors:Tat J,  Crawford J,  Chong J,  Powell T,  Fevens TG,  Popa T,  Martineau PA
Link:https://www.ncbi.nlm.nih.gov/pubmed/33615252
DOI:10.1016/j.asmr.2020.08.012
Category:Arthrosc Sports Med Rehabil
PMID:33615252
Dept Affiliation: ENCS
1 Division of Orthopedic Surgery, University of Toronto, Toronto, Ontario.
2 Department of Radiology, McGill University Health Centre, Montreal, Quebec, Canada.
3 Department of Computer Science and Software Engineering, Concordia University, Montreal, Quebec, Canada.
4 Division of Orthopaedic Surgery, McGill University Health Centre, Montreal, Quebec, Canada.

Description:

Three-Dimensional (3D) Animation and Calculation for the Assessment of Engaging Hill-Sachs Lesions With Computed Tomography 3D Reconstruction.

Arthrosc Sports Med Rehabil. 2021 Feb; 3(1):e89-e96

Authors: Tat J, Crawford J, Chong J, Powell T, Fevens TG, Popa T, Martineau PA

Abstract

Purpose: To dynamically assess for Hill-Sachs engagement with animated 3-dimensional (3D) shoulder models.

Methods: We created 3D shoulder models from reconstructed computed tomography (CT) images from a consecutive series of patients with recurrent anterior dislocation. They were divided into 2 groups based on the perceived Hill-Sachs severity. For our cohort of 14 patients with recurrent anterior dislocation, 4 patients had undergone osteoarticular allografting of Hill-Sachs lesions and 10 control patients had undergone CT scanning to quantify bone loss but no treatment for bony pathology. A biomechanical analysis was performed to rotate each 3D model using local coordinate systems to the classical vulnerable position of the shoulder (abduction = 90°, external rotation = 0-135°) and through a functional range. A Hill-Sachs lesion was considered "dynamically" engaging if the angle between the lesion's long axis and anterior glenoid was parallel. Results: In the vulnerable position of the shoulder, none of the Hill-Sachs lesions aligned with the anterior glenoid in any of our patients. However, in our simulated physiological shoulder range, all allograft patients and 70% of controls had positions producing alignment.

Conclusions: The technique offers a visual representation of an engaging Hill-Sachs using 3D-animated reconstructions with open-source software and CT images. In our series of patients, we found multiple shoulder positions that align the Hill-Sachs and glenoid axes that do not necessarily meet the traditional definition of engagement. Identifying all shoulder positions at risk of "engaging," in a broader physiological range, may have critical implications toward selecting the appropriate surgical management of bony defects.

Level of Evidence: level III, case-control study.

PMID: 33615252 [PubMed]