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Construction of a Statistical Cervical Vertebrae Geometric Model for Children 3-10 Years Old
Zhigang Li1, Xiaoqiang Han2, Cheng Ji2
1School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, 100044, China. zgli@bjtu.edu.cn.
Insights
Children
Area of Science:
- Biomechanical Engineering
- Pediatric Orthopedics
- Medical Imaging Analysis
Background:
- Pediatric cervical spinal injuries in motor vehicle crashes result in high morbidity and mortality.
- Understanding age-related changes in pediatric cervical vertebrae geometry is crucial for accurate injury risk assessment.
- Existing models often lack detailed geometric representation of growing pediatric spines.
Purpose of the Study:
- To develop a novel method for extracting and modeling 3D cervical vertebrae geometry in children.
- To establish a statistical model of pediatric cervical vertebrae geometry for ages 3-10 years.
- To analyze the influence of age and neck size on vertebral geometry and shape.
Main Methods:
- Development of an innovative semi-automated method to extract and align geometric points from CT scans.
- Creation of a statistical cervical vertebrae geometry model using principal component analysis and multivariate regression.
- Representation and analysis of vertebral spatial geometries across different ages and neck circumferences.
Main Results:
- Age significantly impacts anterior-posterior length (APL), transverse process width (TPW), vertebral body circumference (VBC), and height (VBH).
- VBC and VBH exhibit more rapid age-related increases compared to APL and TPW.
- Specific shape changes include increased inclination angles in C1 lateral mass and C3-7 facet joints, and a steeper odontoid process in C2.
Conclusions:
- The developed statistical model accurately represents age- and size-dependent variations in pediatric cervical vertebrae geometry.
- Findings provide a geometric basis for creating advanced pediatric cervical finite element models.
- This research supports the development of improved anthropomorphic test devices for child neck injury risk assessment.
Abstract:
Cervical spinal injuries of children in motor vehicle crashes have high morbidity and mortality rates. Cervical vertebrae change rapidly in both size and shape during growth. To accurately assess the risk of spinal injury for children of different ages, it is necessary to understand how the spatial geometric features of vertebrae change with the child's age and neck size. In this study, an innovative semi-automated method was developed that can extract and align geometric points from computed tomography scans to accurately represent complex three-dimensional vertebral geometry. Based on these spatial geometric points, a statistical cervical vertebrae geometry model for children aged 3-10 YO was established based on principal component analysis and multivariate regression. According to this model, the vertebra spatial geometries for children of different ages and neck circumferences were represented, and its variation with age were accounted for. Statistical results show that age has a significant effect on anterior-posterior length (APL), transverse process width (TPW), vertebral body circumference (VBC) and height (VBH), whereas the significance of location and its interaction with age effects on these four parameters are different. The VBC and VBH increase more rapidly with age than the APL and TPW. In addition, the APL of C6 and C7 increase significantly faster than that of C3. As for the shape changes with child growth, the inclination angle of the upper surface of the lateral mass for C1 and the tilt angle of the articular process of the articular facet joint for C3-7 increase; and the shape of odontoid process of C2 becomes higher and steeper. This study can provide geometric basis for developing multiple pediatric cervical finite element models and anthropomorphic test devices to further quantify child neck injury risk with different ages and neck geometries.
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