Development and Validation of an Image Based, Computed Trabecular Network Model for Estimating Vertebral Fracture Risk in the Aging Population

项目摘要 衰老过程通常会导致腰椎骨骼健康状况下降，从而增加患病风险。 脊椎损伤。骨质疏松对骨小梁(松质)的密度和分布影响最大，但目前 模型忽略了这一地区的异质性。有限元(FE)建模提供了一种无创 使用从定量计算机断层扫描测量的骨质量度量来评估骨折风险的方法 扫描(QCT)。然而，由于目前CT扫描的局限性，可能很难准确地量化骨骼 临床上退化。这项拟议研究的主要目标是开发一种新型的计算机小梁 用于腰椎小梁的矩阵，将用于从CT扫描中提取附加信息。这个 这项研究的计算小梁矩阵可以提供对这种关系的更多洞察力 图像数据和骨骼强度之间的关系。 骨形态、骨体积分数(BV/Tv)和皮质厚度将在QCT扫描中测量 身体腰椎。此外，每个椎骨的平均每日压缩负荷将从 病人的体重和身高。这些指标将输入到OptiStruct，然后OptiStruct将执行拓扑优化 以便在整个骨小梁区域内最佳地分配载荷。这些脊椎模型将被压缩到 失败了。为了验证计算的骨小梁基质的生物力学特性，相同的身体 椎骨将被取出，并使用伺服液压单轴加载系统压缩到崩溃。 这种新型的计算出的骨小梁基质将被用来模拟老化对骨质量退化的影响。 腰椎的骨质量指标将从30名年龄在50-79岁之间的成年人那里获得 分别于基线和随访12~48个月进行CT扫描。将创建一个计算的小梁矩阵 对于每次随访和基线扫描，以分析骨强度、椎体几何形状和皮质的变化 厚度。 这项研究将采用跨学科的方法，使用放射学、生物力学和骨科来 研究与年龄相关的骨量减少。该项目将产生一个新的计算小梁矩阵来提取额外的 来自图像序列的临床相关数据，进一步增加了老年医学和医学领域的CT扫描价值 骨科。

Project Summary The aging process often results in decreased bone health in the lumbar spine which can lead to increased risk of vertebral injury. Osteoporosis most affects the density and distribution of trabecular (spongy) bone, but current models overlook the heterogeneous qualities of this region. Finite element (FE) modeling offers a noninvasive method to assess fracture risk using metrics of bone quality measured from quantitative computed tomography scans (qCT). However, due to current limitations of CT scans, it can be difficult to accurately quantify bone degradation clinically. The primary objectives of this proposed study are to develop a novel computed trabecular matrix for lumbar vertebrae trabeculae that will be used to extract additional information from CT scans. The computed trabecular matrix that results from this study could provide additional insight into the relationship between image data and bone strength. Bone morphology, bone volume fraction (BV/TV), and cortical thickness will be measured in qCT scans of cadaveric lumbar spine. In addition, average daily compressive load at each vertebra will be calculated from patient weight and height. These metrics will be input to Optistruct, which will then perform topology optimization to optimally distribute the load throughout the trabecular region. These vertebral models will be compressed until failure. To validate the biomechanical properties of the computed trabecular matrix, the same cadaveric vertebrae will be removed and compressed to failure using a servohydraulic uniaxial loading system. The novel computed trabecular matrix will then be used to model the effects of aging on bone quality degradation. Bone quality metrics of the lumbar spine will be obtained from 30 adults between 50-79 years of age who underwent baseline and follow-up CT scans 12-48 months apart. A computed trabecular matrix will be created for each follow-up and baseline scan to analyze changes in bone strength, vertebral geometry, and cortical thickness. This research will employ an interdisciplinary approach by using radiology, biomechanics, and orthopaedics to study age-related bone decrement. The project will yield a novel computed trabecular matrix to extract additional clinically relevant data from image series, further adding value to CT scans in the fields of geriatrics and orthopaedics.