The temporal changes of trabecular architecture in ovariectomized rats assessed by MicroCT

被引:164
作者
Laib, A
Kumer, JL
Majumdar, S
Lane, NE
机构
[1] Univ Calif San Francisco, Div Rheumatol, Dept Med, San Francisco, CA 94143 USA
[2] Univ Calif San Francisco, Dept Radiol, Magnet Resonance Sci Ctr, San Francisco, CA 94143 USA
关键词
3D architecture; micro-computed tomography; ovariectomy; trabecular bone;
D O I
10.1007/s001980170022
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
To study the short- and long-term effects of estrogen deficiency on trabecular bone, three-dimensional measurements of proximal, tibiae of ovariectomized rats were performed by micro-computed tomography (MicroCT). New three-dimensional (3D) techniques were employed to characterize the trabecular architecture from 0 to 110 days post-ovariectomy (OVX). These new methods no longer assume a plate or rod model of bone, but calculate trabecular thickness, separation, and number and their distribution by placing maximal spheres into the 3D representation of the structure. The model type of bone was quantified with the Structure Model Index (SMI). Utilizing these methods we found a rapid loss of trabecular bone in the first week after OVX. After the first week bone mass declined farther, although the rate of loss was lower. In addition there was a complete change in model type from plate-like to, rod-like within 7 days post-OVX, and then a very constant SMI after 12 days. After an initial thinning of trabecular structure, farther bone loss seems to occur through removal of trabeculae, while the trabecular plate thickness remains constant. The heterogeneity of the network could be quantified by. intraindividual standard, deviation of local separations, which showed a stair-like progression, with a plateau between 12 and 60 days post-OVX. This study provides new insights into ovariectomy-related changes in cancellous bone structure evaluated by 3D MicroCT. In, addition, these data suggest that the rapid change of model from plate-like to, rod-like post-OVX may potentially introduce biases in the parameters that are determined using model-based algorithms, and these biases may modify the impact of age-related or therapeutic changes.
引用
收藏
页码:936 / 941
页数:6
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