Prediction of thoracic and lumbar vertebral body compressive strength: correlations with bone mineral density and vertebral region
Author:
Publisher
Elsevier BV
Subject
Histology,Physiology,Endocrinology, Diabetes and Metabolism
Reference32 articles.
1. Risk of vertebral insufficiency fractures in relation to compressive strength predicted by quantitative computed tomography;Biggemann;Europ J Radiol,1991
2. A universal model of the lumbar back muscles in the upright position;Bogduk;Spine,1992
3. Correlations between breaking load and CT absorption values of vertebral bodies;Brassow;Europ J Radiol,1982
4. Prediction of the compressive strength of human lumbar vertebrae;Brinckmann;Clin Biomech,1989
5. Precise measurement of vertebral mineral content using computed tomography;Cann;J Comp Assist Tomog,1980
Cited by 154 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Vertebral Bone Density Variations in Scoliotic vs. Non-Scoliotic Juveniles, and Its Implications for Schmorl’s Node Development: A CT-Based Analysis Using the New Mexico Decedent Image Database;Anatomia;2024-05-29
2. Differences in vertebral bone density between African apes;American Journal of Biological Anthropology;2024-04-21
3. Is Lamina the Densest Region of the Lumbar Spine? An In Vivo Study Based on Asian Postmenopausal Women;Mechanisms and Machine Science;2024
4. Mineralized Collagen Fibrils: An Essential Component in Determining the Mechanical Behavior of Cortical Bone;ACS Biomaterials Science & Engineering;2023-04-19
5. Experimental 3D printed re-entrant auxetic and honeycomb spinal cages based on Ti-6Al-4 V: Computer-Aided design concept and mechanical characterization;Composite Structures;2023-04
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3