中文版 | English
Title

Distal Humerus Morphological Analysis of Chinese Individuals: A Statistical Shape Modeling Approach

Author
Corresponding AuthorPei, Guoxian; Su, Xiuyun
Publication Years
2022-09-01
DOI
Source Title
ISSN
1757-7853
EISSN
1757-7861
Abstract
Objective A detailed analysis of the morphology of distal humeral articulation can help in the creation of anatomic prostheses of hemiarthroplasty. This study used statistical shape modeling to evaluate the 3D morphology of the distal humerus in healthy Chinese individuals and to investigate the proper articular morphology differences. Methods A statistical shape model (SSM) of the distal humerus was created using CT scans of 106 survey-confirmed nonpathologic elbows. In addition, the articular components of each principal component (PC) were selected and fitted on the mean mode. The Euclidean point-to-mesh distance of articular modes was calculated as a measurement the proper change in the morphology of the articulation. Results The first seven PCs jointly accounted for 80.9% of the total variation (44.4%, 12.2%, 7.9%, 5.9%, 4.1%, 3.4% and 3%, respectively). In the mean model, the distance between the medial and lateral epicondyles was 57.4 mm, the width of the articulation was 42.1 mm, and the angle of the transepicondylar line (TEL) and C line was 4.8 degrees. The articular surface differences of the first PC were significant (RMS: 1.43 mm in the -3 SD model and 2.38 mm in the +3 SD model), whereas under other conditions, the differences were not remarkable despite the maximum deformation not exceeding 1 mm. Conclusion A novel method (SSM) was used to evaluate the 3D morphology of the distal humerus in healthy Chinese individuals and investigate the proper articular shape differences. We found the proper shape of articular surface basically transformed into one variation pattern which was relevant to the bone size, even though the morphology of distal humerus possessed complicated variation modes. The findings of this study can be helpful to design the next generation of elbow hemiarthroplasty in the future.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
First ; Corresponding
Funding Project
Research Startup Fund of the Southern University of Science and Technology[Y01416214]
WOS Research Area
Orthopedics
WOS Subject
Orthopedics
WOS Accession No
WOS:000853365500001
Publisher
Data Source
Web of Science
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/402332
DepartmentSchool of Medicine
南方科技大学医院
Affiliation
1.Southern Univ Sci & Technol, Sch Med, 1088 Xueyuan Ave, Shenzhen 518055, Guangdong, Peoples R China
2.Southern Univ Sci & Technol Hosp, Intelligent & Digital Surg Innovat Ctr, 6019 Liuxian Ave, Shenzhen 518055, Guangdong, Peoples R China
First Author AffilicationSchool of Medicine
Corresponding Author AffilicationSchool of Medicine;  Southern University of Science and Technology Hospital
First Author's First AffilicationSchool of Medicine
Recommended Citation
GB/T 7714
Zhao, Wei,Guo, Yao,Xu, Chuangye,et al. Distal Humerus Morphological Analysis of Chinese Individuals: A Statistical Shape Modeling Approach[J]. Orthopaedic Surgery,2022.
APA
Zhao, Wei.,Guo, Yao.,Xu, Chuangye.,Pei, Guoxian.,Basnet, Shiva.,...&Su, Xiuyun.(2022).Distal Humerus Morphological Analysis of Chinese Individuals: A Statistical Shape Modeling Approach.Orthopaedic Surgery.
MLA
Zhao, Wei,et al."Distal Humerus Morphological Analysis of Chinese Individuals: A Statistical Shape Modeling Approach".Orthopaedic Surgery (2022).
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Export to Excel
Export to Csv
Altmetrics Score
Google Scholar
Similar articles in Google Scholar
[Zhao, Wei]'s Articles
[Guo, Yao]'s Articles
[Xu, Chuangye]'s Articles
Baidu Scholar
Similar articles in Baidu Scholar
[Zhao, Wei]'s Articles
[Guo, Yao]'s Articles
[Xu, Chuangye]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhao, Wei]'s Articles
[Guo, Yao]'s Articles
[Xu, Chuangye]'s Articles
Terms of Use
No data!
Social Bookmark/Share
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.