Estimation of a statistical geometric model for the cervical vertebrae of children aged 10-18 years.

Cervical vertebra Principal component analysis and regression Quantification Size/shape Statistical geometric model

Journal

Medical engineering & physics
ISSN: 1873-4030
Titre abrégé: Med Eng Phys
Pays: England
ID NLM: 9422753

Informations de publication

Date de publication:
08 2021
Historique:
received: 14 08 2020
revised: 09 06 2021
accepted: 11 06 2021
entrez: 25 7 2021
pubmed: 26 7 2021
medline: 21 10 2021
Statut: ppublish

Résumé

Child neck injuries in motor vehicle crashes (MVCs) result in high morbidity and mortality rates. Estimating a statistical cervical vertebrae geometric model and quantifying the variations of the size and shape with age are very important for investigating the dynamic response and injury risk to a child's cervical spine, as well as for providing a geometric basis for developing child anthropomorphic test devices (ATDs) and finite element models (FEMs) of different ages. In this study, spatial geometric points were automatically extracted from the cervical vertebrae computed tomography (CT) scans of 30 children aged 10 to 18 years old (YO), and a statistical geometric model was estimated for the cervical vertebrae as a function of age and neck circumference/neck length according to the method of principal component analysis and regression (PCA&R). Based on this statistical model, geometric point sets representing cervical vertebrae geometries at different ages and percentiles were generated and formed to envelope surfaces. Meanwhile, the size changes of the cervical vertebrae with child growth from 10 to 18 YO were quantified. In general, the anteroposterior length (APL), transverse process width (TPW), vertebral body height (VBH), and vertebral body depth (VBD) of the cervical vertebrae increase with age; the VBH and VBD increase faster than the APL and TPW. Compared with other vertebrae, the APL of C7 is larger, and the rate of increase of C1 with age is evidently slower. The TPWs of C1 and C7 are greater than those of C2 to C6. C7 has higher average values for the VBH and VBD than C3 to C6.

Identifiants

pubmed: 34303500
pii: S1350-4533(21)00072-2
doi: 10.1016/j.medengphy.2021.06.006
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

41-50

Informations de copyright

Copyright © 2021. Published by Elsevier Ltd.

Auteurs

Zhigang Li (Z)

School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China. Electronic address: zgli@bjtu.edu.cn.

Zhilong Chen (Z)

School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.

Yuedong Tan (Y)

School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.

Nan Jiang (N)

Aviation Key Laboratory of Science and Technology on Life-support Technology, Xiangyang 441003, China.

Guanghui Feng (G)

Aviation Key Laboratory of Science and Technology on Life-support Technology, Xiangyang 441003, China.

Xiaochuan Liu (X)

Aviation Key Laboratory of Science and Technology on Structures Impact Dynamics, China Aircraft Strength Research Institute, Xi'an 710065, China.

Chunyu Bai (C)

Aviation Key Laboratory of Science and Technology on Structures Impact Dynamics, China Aircraft Strength Research Institute, Xi'an 710065, China.

Yafeng Wang (Y)

Aviation Key Laboratory of Science and Technology on Structures Impact Dynamics, China Aircraft Strength Research Institute, Xi'an 710065, China.

Yazhou Guo (Y)

Aviation Key Laboratory of Science and Technology on Structures Impact Dynamics, China Aircraft Strength Research Institute, Xi'an 710065, China.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH