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

开发和验证基于图像的计算小梁网络模型，用于估计老龄化人群中的椎骨骨折风险

• 批准号: 10380571
• 负责人: Austin Mark Moore
• 金额: $ 5.18万
• 依托单位: WAKE FOREST UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10380571
• 关键词: Address; Adult; Affect; Age-Years; Aging; American; Biological; Biomechanics; Bone Density; Bone remodeling; Cadaver; Clinical; Compression Fracture; Computer Models; Computing Methodologies; Data; Development; Diagnosis; Elderly; Elements; Facet joint structure; Failure; Fracture; Funding; Geometry; Geriatrics; Goals; Healthcare; Height; Human body; Image; Image Analysis; Individual; Injury; Lateral; Laws; Lead; Link; Lumbar Vertebral Fracture; Measurement; Measures; Mechanics; Methods; Modeling; Morphology; Musculoskeletal; Orthopedics; Osteoporosis; Osteoporotic; Patients; Physicians; Population; Posture; Process; Property; Protocols documentation; Radiology Specialty; Research; Resolution; Risk; Risk Assessment; Safety; Sampling; Scanning; Scientist; Series; Severity of illness; Solid; Specimen; Spinal Fractures; Spinal Injuries; Stress; Structure; System; Techniques; Testing; Thick; Time; United States; United States National Aeronautics and Space Administration; United States National Institutes of Health; Validation; Variant; Vertebral column; Weight; Woman; X-Ray Computed Tomography; X-Ray Medical Imaging; age effect; age related; aging population; base; biomechanical model; bone; bone health; bone quality; bone strength; career; clinical application; clinical imaging; clinically relevant; cortical bone; cost; density; follow-up; fracture risk; human model; imaging Segmentation; improved; insight; interdisciplinary approach; lumbar vertebra bone structure; men; network models; novel; process optimization; response; simulation; skeletal; skills; spine bone structure; substantia spongiosa; time use; vertebra body

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.

项目摘要 衰老过程通常会导致腰椎骨骼健康状况下降，从而导致风险增加 脊椎损伤骨质疏松症最影响松质骨的密度和分布，但目前 模型忽略了该区域的异质性。有限元（FE）建模提供了一种非侵入性的 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，可能难以准确地量化骨 临床降解本研究的主要目的是开发一种新的计算小梁 腰椎骨小梁矩阵，用于从CT扫描中提取额外信息。的 计算的小梁矩阵，从这项研究的结果可以提供额外的洞察关系， 图像数据和骨强度之间的关系。 将在qCT扫描中测量骨形态、骨体积分数（BV/TV）和皮质厚度， 尸体腰椎此外，每个椎骨的平均每日压缩载荷将根据 患者的体重和身高。这些指标将输入到Optistruct，然后执行拓扑优化 以最佳地将负荷分布在整个小梁区域。这些椎骨模型将被压缩， 失败为了验证计算的骨小梁基质的生物力学特性， 椎骨将被移除并使用伺服液压单轴加载系统压缩至失效。 新的计算骨小梁矩阵，然后将用于模拟老化对骨质量退化的影响。 将从30名年龄在50-79岁之间的成年人中获得腰椎的骨质量指标， 基线和随访CT扫描间隔12-48个月。将创建计算的小梁矩阵 对于每次随访和基线扫描，分析骨强度、椎体几何形状和皮质骨的变化 厚 这项研究将采用跨学科的方法，利用放射学，生物力学和骨科， 研究与年龄相关的骨质减少。该项目将产生一种新的计算小梁矩阵，以提取额外的 图像系列的临床相关数据，进一步增加了老年医学领域CT扫描的价值， 整形外科