Micro-computed tomography assessment of fracture healing: relationships among callus structure, composition, and mechanical function.
Micro-computed tomography assessment of fracture healing: relationships among callus structure, composition, and mechanical function.
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DOI：
10.1016/j.bone.2008.10.039
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发表时间：
2009-02
期刊：
影响因子：
4.1
通讯作者：
Gerstenfeld, Louis C.
中科院分区：
文献类型：
--
作者：
Morgan, Elise F.;Mason, Zachary D.;Chien, Karen B.;Pfeiffer, Anthony J.;Barnes, George L.;Einhorn, Thomas A.;Gerstenfeld, Louis C.
骨折骨痂结构和成分的非侵入性表征可能有助于开发机械功能恢复的替代措施。因此，基于计算机断层扫描(CT)的骨折骨痂定量分析可以使骨愈合的临床评估更加可靠。虽然以前的研究已经使用CT来量化和预测骨折愈合，但尚不清楚在许多由CT得出的骨痂结构和成分指标中，哪些是最能预测骨痂机械性能的指标。这项研究的目的是确定骨折骨痂结构和成分随时间发生的变化，这些变化与机械功能的恢复最密切相关。在骨折后多个时间点和不同实验条件下对小鼠骨折愈合骨痂进行μCT成像和扭转测试。计算骨痂总体积(TV)、矿化骨痂体积(BV)、骨痂矿化体积分数(BV/TV)、骨矿含量(BMC)、组织矿化密度(TMD)、矿化骨密度标准差(σ)、有效转动惯量(杰夫)、扭转强度和扭转刚度。采用多元统计分析，包括多变量方差分析、主成分分析和逐步回归分析，以确定骨痂结构和成分在实验组之间的差异，并确定μCT结果指标中哪一项是力学性能的最强预测因素。尽管骨痂在矿化组织的绝对量和相对量(BV、BMC和BV/TV)上差异很大，但时间点之间的差异与组织矿化密度的变化最密切相关。抗扭强度和硬度取决于矿物密度和矿化组织的数量：TMD、BV和σTMD解释了扭转强度变化的62%(p<；0.001)；TMD、BMC、Bv/Tv和σTMD解释了扭转硬度变化的70%(p<；0.001)。这些结果表明，骨折骨痂的力学性能可以通过μCT得出的骨痂结构和成分的几种测量来预测。这些发现构成了开发骨折愈合的非侵入性评估的基础，并用于确定导致愈合受损或增强的生物和生物力学机制。
Non-invasive characterization of fracture callus structure and composition may facilitate development of surrogate measures of the regain of mechanical function. As such, quantitative computed tomography- (CT-) based analyses of fracture calluses could enable more reliable clinical assessments of bone healing. Although previous studies have used CT to quantify and predict fracture healing, it is unclear which of the many CT-derived metrics of callus structure and composition are the most predictive of callus mechanical properties. The goal of this study was to identify the changes in fracture callus structure and composition that occur over time and that are most closely related to the regain of mechanical function. Micro-computed tomography (μCT) imaging and torsion testing were performed on murine fracture calluses (n=188) at multiple post-fracture timepoints and under different experimental conditions that alter fracture healing. Total callus volume (TV), mineralized callus volume (BV), callus mineralized volume fraction (BV/TV), bone mineral content (BMC), tissue mineral density (TMD), standard deviation of mineral density (σTMD), effective polar moment of inertia (Jeff), torsional strength, and torsional rigidity were quantified. Multivariate statistical analyses, including multivariate analysis of variance, principal components analysis, and stepwise regression were used to identify differences in callus structure and composition among experimental groups and to determine which of the μCT outcome measures were the strongest predictors of mechanical properties. Although calluses varied greatly in the absolute and relative amounts of mineralized tissue (BV, BMC, and BV/TV), differences among timepoints were most strongly associated with changes in tissue mineral density. Torsional strength and rigidity were dependent on mineral density as well as the amount of mineralized tissue: TMD, BV, and σTMD explained 62% of the variation in torsional strength (p<0.001); and TMD, BMC, BV/TV, and σTMD explained 70% of the variation in torsional rigidity (p<0.001). These results indicate that fracture callus mechanical properties can be predicted by several μCT-derived measures of callus structure and composition. These findings form the basis for developing non-invasive assessments of fracture healing and for identifying biological and biomechanical mechanisms that lead to impaired or enhanced healing.
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影响因子：
6.2
作者：
Andreassen, TT;Ejersted, C;Oxlund, H
通讯作者：
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DOI：
10.1097/00003086-199909000-00033
发表时间：
1999-09-01
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