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​​椎骨骼健康降低，这可能导致风险增加 椎骨损伤。骨质疏松症最大的影响小梁（海绵状）骨的密度和分布，但电流 模型忽略了该地区的异质品质。有限元（Fe）建模提供无创的 使用定量计算机断层扫描测量的骨质质量指标评估断裂风险的方法 扫描（QCT）。但是，由于当前CT扫描的局限性，可能难以准确量化骨头 临床上的退化。这项拟议的研究的主要目标是开发一个新型的计算小梁 腰椎小梁的矩阵，该基质将用于从CT扫描中提取其他信息。这 这项研究产生的计算的小梁矩阵可以提供有关关系的更多见解 图像数据和骨骼强度之间。 骨形态，骨体积分数（BV/TV）和皮质厚度将在QCT扫描中测量 尸体腰椎。此外，每个椎骨的平均每日压缩负荷将根据 患者体重和身高。这些指标将输入到Optistruct，然后将执行拓扑优化 在整个小梁区域中最佳分配负载。这些椎骨模型将被压缩直到 失败。为了验证计算的小梁基质的生物力学特性，相同的尸体 使用伺服水力单轴载荷系统将椎骨去除并压缩为故障。 然后，新型计算的小梁基质将用于建模衰老对骨质降解的影响。 腰椎的骨质指标将从50-79岁的30名成年人中获得 进行了基线和随访CT扫描12-48个月。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，椎骨几何形状和皮质的变化 厚度。 这项研究将通过使用放射学，生物力学和骨科来采用跨学科方法 研究与年龄相关的骨减少。该项目将产生一个新型的计算出的小梁基质，以提取其他 来自图像系列的临床相关数据，进一步为老年医学领域的CT扫描增加了价值 骨科。