Wei Wang1,2, Zhijun Li3, Yingna Qi1, Lianxiang Chen4, Ping Yi5, Feng Yang5, Xiangsheng Tang5, Mingsheng Tan5. 1. Graduate School, Beijing University of Chinese Medicine, Beijing, People's Republic of China. 2. Department of Emergency, Inner Mongolia People's Hospital, Hohhot, People's Republic of China. 3. Human Anatomy Teaching and Research Section (Digital Medical Center), Inner Mongolia Medical University Basic Medical College, Hohhot, People's Republic of China. 4. Department of Hematology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, People's Republic of China. 5. Department of Spine Surgery, China-Japan Friendship Hospital, Beijing, People's Republic of China.
Abstract
Introduction: Odontoid fractures easily lead to instability, causing spinal cord injury. The aim of this study was to measure and analyze the micro-architecture and morphometric parameters of the normal odontoid with high-resolution three-dimensional (3D) micro-computed tomography (micro-CT). Methods: Micro-CT scans were obtained from five normal odontoid processes. The scanned data were reconstructed with micro-CT software, and the nutrient foramina and the ossification center of the base of the odontoid were revealed. The trabeculae of the odontoid were measured and divided into four parts to obtain the volume fraction of regions of interest. Results: High-resolution 3D images of the micro-structures' parameters were obtained from the odontoid using micro-CT software. The images demonstrated sponge-like trabecular bone, with the trabeculae showing a complex, net-like micro-construction. The subchondral bone plate was of lamella-like, compact construction and extended and transformed into a net-like structure with rod-shaped trabeculae arranged radially in all directions. There was a statistically significant difference in the volume fraction compared with the region of interest in the fourth part of the trabeculae and the first part of the odontoid (P < 0.05). The nutrient foramina and the ossification center of the odontoid were also observed.Conclusions: It is feasible to use high-resolution 3D micro-CT to evaluate the micro-architecture of the normal odontoid. Other studies can benefit from use of the micro-CT images, such as finite element evaluations.
Introduction: Odontoidfractures easily lead to instability, causing spinal cord injury. The aim of this study was to measure and analyze the micro-architecture and morphometric parameters of the normal odontoid with high-resolution three-dimensional (3D) micro-computed tomography (micro-CT). Methods: Micro-CT scans were obtained from five normal odontoid processes. The scanned data were reconstructed with micro-CT software, and the nutrient foramina and the ossification center of the base of the odontoid were revealed. The trabeculae of the odontoid were measured and divided into four parts to obtain the volume fraction of regions of interest. Results: High-resolution 3D images of the micro-structures' parameters were obtained from the odontoid using micro-CT software. The images demonstrated sponge-like trabecular bone, with the trabeculae showing a complex, net-like micro-construction. The subchondral bone plate was of lamella-like, compact construction and extended and transformed into a net-like structure with rod-shaped trabeculae arranged radially in all directions. There was a statistically significant difference in the volume fraction compared with the region of interest in the fourth part of the trabeculae and the first part of the odontoid (P < 0.05). The nutrient foramina and the ossification center of the odontoid were also observed.Conclusions: It is feasible to use high-resolution 3D micro-CT to evaluate the micro-architecture of the normal odontoid. Other studies can benefit from use of the micro-CT images, such as finite element evaluations.
Authors: Amit Patel; Rasheed Zakaria; Rafid Al-Mahfoudh; Simon Clark; Chris Barrett; Zaid Sarsam; Robin Pillay; Tim Drummond Pigott; Martin J Wilby Journal: Br J Neurosurg Date: 2014-09-18 Impact factor: 1.596
Authors: Ji Wang; Bin Zhou; X Sherry Liu; Aaron J Fields; Arnav Sanyal; Xiutao Shi; Mark Adams; Tony M Keaveny; X Edward Guo Journal: Bone Date: 2014-11-15 Impact factor: 4.398