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Three-Dimensional Measurement of Proximal Humerus Fractures Displacement: A Computerized Analysis

Neer’s classification for proximal humerus fractures (PHFs) uses 10 mm and 45° thresholds to distinguish displaced fragments. While this system was originally developed referencing 2D X-rays, fracture displacements occur in three dimensions. Our work aimed to develop a standardized and reliable comp...

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Autores principales: Ripoll, Thomas, Chelli, Mikaël, Johnston, Tyler, Chaoui, Jean, Gauci, Marc-Olivier, Vasseur, Heloïse, Poltaretskyi, Sergii, Boileau, Pascal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299604/
https://www.ncbi.nlm.nih.gov/pubmed/37373779
http://dx.doi.org/10.3390/jcm12124085
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author Ripoll, Thomas
Chelli, Mikaël
Johnston, Tyler
Chaoui, Jean
Gauci, Marc-Olivier
Vasseur, Heloïse
Poltaretskyi, Sergii
Boileau, Pascal
author_facet Ripoll, Thomas
Chelli, Mikaël
Johnston, Tyler
Chaoui, Jean
Gauci, Marc-Olivier
Vasseur, Heloïse
Poltaretskyi, Sergii
Boileau, Pascal
author_sort Ripoll, Thomas
collection PubMed
description Neer’s classification for proximal humerus fractures (PHFs) uses 10 mm and 45° thresholds to distinguish displaced fragments. While this system was originally developed referencing 2D X-rays, fracture displacements occur in three dimensions. Our work aimed to develop a standardized and reliable computerized method for measuring PHF 3D spatial displacements. CT scans of 77 PHFs were analyzed. A statistical shape model (SSM) was used to generate the pre-fracture humerus. This predicted proximal humerus was then used as a “layer” to manually reduce fragments to their native positions and quantify translation and rotation in three dimensions. 3D computerized measurements could be calculated for 96% of fractures and revealed that 47% of PHFs were displaced according to Neer’s criteria. Valgus and varus head rotations in the coronal plane were present in 39% and 45% of cases; these were greater than 45° in 8% of cases and were always associated with axial and sagittal rotations. When compared to 3D measurements, 2D methods underestimated the displacement of tuberosity fragments and did not accurately assess rotational displacements. The use of 3D measurements of fracture displacement is feasible with a computerized method and may help further refine PHF analysis and surgical planning.
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spelling pubmed-102996042023-06-28 Three-Dimensional Measurement of Proximal Humerus Fractures Displacement: A Computerized Analysis Ripoll, Thomas Chelli, Mikaël Johnston, Tyler Chaoui, Jean Gauci, Marc-Olivier Vasseur, Heloïse Poltaretskyi, Sergii Boileau, Pascal J Clin Med Article Neer’s classification for proximal humerus fractures (PHFs) uses 10 mm and 45° thresholds to distinguish displaced fragments. While this system was originally developed referencing 2D X-rays, fracture displacements occur in three dimensions. Our work aimed to develop a standardized and reliable computerized method for measuring PHF 3D spatial displacements. CT scans of 77 PHFs were analyzed. A statistical shape model (SSM) was used to generate the pre-fracture humerus. This predicted proximal humerus was then used as a “layer” to manually reduce fragments to their native positions and quantify translation and rotation in three dimensions. 3D computerized measurements could be calculated for 96% of fractures and revealed that 47% of PHFs were displaced according to Neer’s criteria. Valgus and varus head rotations in the coronal plane were present in 39% and 45% of cases; these were greater than 45° in 8% of cases and were always associated with axial and sagittal rotations. When compared to 3D measurements, 2D methods underestimated the displacement of tuberosity fragments and did not accurately assess rotational displacements. The use of 3D measurements of fracture displacement is feasible with a computerized method and may help further refine PHF analysis and surgical planning. MDPI 2023-06-16 /pmc/articles/PMC10299604/ /pubmed/37373779 http://dx.doi.org/10.3390/jcm12124085 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ripoll, Thomas
Chelli, Mikaël
Johnston, Tyler
Chaoui, Jean
Gauci, Marc-Olivier
Vasseur, Heloïse
Poltaretskyi, Sergii
Boileau, Pascal
Three-Dimensional Measurement of Proximal Humerus Fractures Displacement: A Computerized Analysis
title Three-Dimensional Measurement of Proximal Humerus Fractures Displacement: A Computerized Analysis
title_full Three-Dimensional Measurement of Proximal Humerus Fractures Displacement: A Computerized Analysis
title_fullStr Three-Dimensional Measurement of Proximal Humerus Fractures Displacement: A Computerized Analysis
title_full_unstemmed Three-Dimensional Measurement of Proximal Humerus Fractures Displacement: A Computerized Analysis
title_short Three-Dimensional Measurement of Proximal Humerus Fractures Displacement: A Computerized Analysis
title_sort three-dimensional measurement of proximal humerus fractures displacement: a computerized analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299604/
https://www.ncbi.nlm.nih.gov/pubmed/37373779
http://dx.doi.org/10.3390/jcm12124085
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