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椎体局部骨密度(rBMD)与全骨骨折负荷之间的相关性。

Correlations between vertebral regional bone mineral density (rBMD) and whole bone fracture load.

作者信息

Cody D D, Goldstein S A, Flynn M J, Brown E B

机构信息

Department of Radiology, Henry Ford Hospital, Detroit, Michigan.

出版信息

Spine (Phila Pa 1976). 1991 Feb;16(2):146-54.

PMID:2011769
Abstract

To assess the significance of regional quantitative computed tomography measurements of bone density with respect to mechanical strength in the human lumbar spine, 58 vertebrae (from 12 males, 10 females) were scanned in vitro with multiple-thin-slice quantitative computed tomography and then compressed to fracture. With computer graphics, 18 specific regions of physical density and 10 combination averages of density were identified within each vertebral body. To ensure the statistical independence of data, the individual vertebral specimens were assigned to one of three groups (T11-L1, L2-L3, or L4-L5). Use of best-subsets procedures resulted in regression models to predict fracture strength. These models used specific regional density values and often the age and sex of the donors. The correlation coefficients that resulted from the multiple regression models ranged from r = 0.88 to r = 0.95. When the density values were multiplied by the minimum cross-sectional area of the vertebral body, similar regional density averages were selected, and the predictive values were slightly improved (r = 0.94-0.97). The heterogeneity of the density samples (measured as standard deviation) in multiple regression fashion also produced strong correlation coefficients (r = 0.88-0.94). The bone density in an anterior cylinder of the midplane region, the location measured most often in quantitative computed tomography densitometry, was strongly correlated (r = 0.85) to fracture load for the T12-L1 group (N = 20), but was not significant for the other two groups of vertebrae. The cancellous bone density from the female data was not found to be significantly different from the male data set.(ABSTRACT TRUNCATED AT 250 WORDS)

摘要

为评估人体腰椎骨密度的区域定量计算机断层扫描测量值相对于机械强度的意义,对58块椎骨(来自12名男性、10名女性)进行体外多层薄切片定量计算机断层扫描,然后压缩至骨折。利用计算机图形学,在每个椎体中识别出18个物理密度的特定区域和10个密度组合平均值。为确保数据的统计独立性,将单个椎体标本分为三组之一(T11-L1、L2-L3或L4-L5)。使用最佳子集程序得出预测骨折强度的回归模型。这些模型使用特定区域密度值,且通常使用捐赠者的年龄和性别。多元回归模型得出的相关系数范围为r = 0.88至r = 0.95。当密度值乘以椎体的最小横截面积时,选择了相似的区域密度平均值,预测值略有提高(r = 0.94 - 0.97)。以多元回归方式测量的密度样本的异质性(以标准差衡量)也产生了较强的相关系数(r = 0.88 - 0.94)。中平面区域前柱的骨密度(定量计算机断层扫描骨密度测量中最常测量的位置)与T12-L1组(N = 20)的骨折负荷密切相关(r = 0.85),但对其他两组椎骨不显著。未发现女性数据中的松质骨密度与男性数据集有显著差异。(摘要截断于250字)

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