Fast trabecular bone strength predictions of HR-pQCT and individual trabeculae segmentation-based plate and rod finite element model discriminate postmenopausal vertebral fractures.
Fast trabecular bone strength predictions of HR-pQCT and individual trabeculae segmentation-based plate and rod finite element model discriminate postmenopausal vertebral fractures.
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DOI：
10.1002/jbmr.1919
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发表时间：
2013-07
影响因子：
6.2
通讯作者：
Guo, X. Edward
中科院分区：
文献类型：
--
作者：
Liu, X. Sherry;Wang, Ji;Zhou, Bin;Stein, Emily;Shi, Xiutao;Adams, Mark;Shane, Elizabeth;Guo, X. Edward
关键词：
虽然高分辨率外周定量计算机断层扫描 (HR-pQCT) 对小梁骨微观结构具有先进的临床评估功能，但通过 HR-pQCT 体素模型对屈服强度进行非线性微观结构有限元 (μFE) 预测由于计算成本过高而在临床使用中不切实际。本研究的目标是开发一种高效的基于 HR-pQCT 的板棒 (PR) 建模技术，以满足快速骨强度估计的未满足的临床需求。通过使用单独小梁分割 (ITS) 技术将小梁结构分割为单独的板和杆，通过使用多个壳单元对每个小梁板和每个梁单元进行建模来实现患者特定的 PR 模型。为了验证这种建模技术，将 HR-pQCT PR 模型的预测与来自人类尸体胫骨样本的 19 个小梁子体积的注册高分辨率 μCT 体素模型的预测进行了比较。 HR-pQCT PR 模型的杨氏模量和屈服强度与 μCT 体素模型的杨氏模量和屈服强度密切相关（r2=0.91 和 0.86）。值得注意的是，HR-pQCT PR 模型大幅减少了元素数量（>40 倍）和 CPU 时间（>1,200 倍）。然后，我们将 PR 模型 μFE 分析应用于 60 名有（n = 30）和无（n = 30）椎骨骨折病史的绝经后妇女的 HR-pQCT 图像。 HR-pQCT PR 模型显示，与对照组相比，骨折受试者的桡骨和胫骨杨氏模量和屈服强度显着降低。此外，在对超远端桡骨或全髋关节的 aBMD T 分数进行调整后，骨折受试者的两个部位的这些机械测量值仍然显着较低。总之，我们根据 μCT 体素模型验证了一种新型的人类骨小梁 HR-pQCT PR 模型，并证明了其区分绝经后妇女椎骨骨折状态的能力。 HR-pQCT PR 模型的这种精确的非线性 μFE 预测仅需要几秒钟的台式计算机时间，对于骨强度的临床评估具有巨大的前景。
While high-resolution peripheral quantitative computed tomography (HR-pQCT) has advanced clinical assessment of trabecular bone microstructure, nonlinear microstructural finite element (μFE) prediction of yield strength by HR-pQCT voxel model is impractical for clinical use due to its prohibitively high computational costs. The goal of this study was to develop an efficient HR-pQCT-based plate and rod (PR) modeling technique to fill the unmet clinical need for fast bone strength estimation. By using individual trabecula segmentation (ITS) technique to segment the trabecular structure into individual plates and rods, a patient-specific PR model was implemented by modeling each trabecular plate with multiple shell elements and each rod with a beam element. To validate this modeling technique, predictions by HR-pQCT PR model were compared with those of the registered high resolution μCT voxel model of 19 trabecular sub-volumes from human cadaveric tibiae samples. Both Young’s modulus and yield strength of HR-pQCT PR models strongly correlated with those of μCT voxel models (r2=0.91 and 0.86). Notably, the HR-pQCT PR models achieved major reductions in element number (>40-fold) and CPU time (>1,200-fold). Then, we applied PR model μFE analysis to HR-pQCT images of 60 postmenopausal women with (n=30) and without (n=30) a history of vertebral fracture. HR-pQCT PR model revealed significantly lower Young’s modulus and yield strength at the radius and tibia in fracture subjects compared to controls. Moreover, these mechanical measurements remained significantly lower in fracture subjects at both sites after adjustment for aBMD T-score at the ultradistal radius or total hip. In conclusion, we validated a novel HR-pQCT PR model of human trabecular bone against μCT voxel models and demonstrated its ability to discriminate vertebral fracture status in postmenopausal women. This accurate nonlinear μFE prediction of HR-pQCT PR model, which requires only seconds of desktop computer time, has tremendous promise for clinical assessment of bone strength.
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DOI：
10.1002/jbmr.111
发表时间：
2010-10
期刊：
Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research
影响因子：
--
作者：
Liu XS;Cohen A;Shane E;Yin PT;Stein EM;Rogers H;Kokolus SL;McMahon DJ;Lappe JM;Recker RR;Lang T;Guo XE
通讯作者：
Guo XE
影响因子：
6.2
作者：
Boutroy, Stephanie;Van Rietbergen, Bert;Delmas, Pierre D.
通讯作者：
Delmas, Pierre D.
影响因子：
2.4
作者：
GOULET, RW;GOLDSTEIN, SA;FELDKAMP, LA
通讯作者：
FELDKAMP, LA
影响因子：
5.8
作者：
Boutroy, S;Bouxsein, ML;Delmas, PD
通讯作者：
Delmas, PD
影响因子：
6.2
作者：
Kazakia, Galateia J.;Hyun, Benedict;Majumdar, Sharmila
通讯作者：
Majumdar, Sharmila