Can the Weight-Bearing Capacity of the Femoral Neck be Estimated by Physical Measurements on the Greater Trochanter?

作者
Isaac Leichter,A. Simkin,J Y Margulies,Arye Bivas,I. Roman,Debra P. Deutsch,A. Weinreb
出处
期刊:Engineering in Medicine [SAGE]
卷期号:17 (2): 59-62 被引量:5
标识
DOI:10.1243/emed_jour_1988_017_018_02
摘要

Early detection of mechanical weakening of the femoral neck would help to prevent fractures at this site which are the most serious clinical problem in osteoporosis. In the vicinity of the femoral neck, the greater trochanter is a superficial bone structure more easily accessible to in vivo measurements. The purpose of the present study was to evaluate the relation between the strength of the femoral neck and the composition of the trabecular tissue in the greater trochanter. Twenty-nine fresh human intact femora were examined. The relationship between the average shear stress in failure of the femoral neck (ASS) and the Ca concentration (CC), mineral density (BMD), and overall mass density (BD) of the greater trochanter was investigated. Linear stepwise regression analysis showed that the ASS of the femoral neck can be predicted from the BD, CC, and BMD of the trochanteric tissue, and their contribution to the estimation of the ASS was ranked in the above order. The linear function relating the ASS to these variables showed a highly significant multiple correlation ( R = 0.87, p < 0.001). Therefore in vivo measurements of the density and mineral content in the greater trochanter should be considered useful in assessing the risk of fracture of the femoral neck.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
好好发布了新的文献求助20
3秒前
小蘑菇应助Hazel采纳,获得10
3秒前
3秒前
科研大佬完成签到,获得积分10
3秒前
phoebe完成签到,获得积分10
4秒前
qqxx完成签到,获得积分10
4秒前
baiyang99完成签到,获得积分20
5秒前
6秒前
充电宝应助冷水鱼采纳,获得10
6秒前
可玩性发布了新的文献求助10
6秒前
7秒前
不安的半梦完成签到,获得积分10
7秒前
li完成签到,获得积分10
9秒前
非常发布了新的文献求助10
9秒前
塘仔完成签到,获得积分10
10秒前
英俊的铭应助Yangtze采纳,获得10
10秒前
10秒前
oscarshao完成签到,获得积分10
11秒前
林颜完成签到,获得积分10
11秒前
iv吃饭完成签到,获得积分10
11秒前
13秒前
15秒前
15秒前
bi8bo完成签到,获得积分20
16秒前
跳跳虎完成签到 ,获得积分10
16秒前
16秒前
LiShun完成签到,获得积分10
17秒前
Meng发布了新的文献求助10
18秒前
wangping发布了新的文献求助10
18秒前
19秒前
zoe11完成签到,获得积分10
19秒前
20秒前
橘子发布了新的文献求助10
20秒前
20秒前
冷水鱼发布了新的文献求助10
22秒前
23秒前
glacial发布了新的文献求助30
23秒前
Zengyuan完成签到,获得积分10
24秒前
寒梅恋雪完成签到,获得积分10
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
Management and the Arts 310
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7629599
求助须知:如何正确求助?哪些是违规求助? 9204001
关于积分的说明 19736458
捐赠科研通 7199046
什么是DOI,文献DOI怎么找? 3274284
关于科研通互助平台的介绍 2436431
邀请新用户注册赠送积分活动 2270424