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.

项目概要 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 的脊椎损伤。骨质疏松症对小梁骨（松质骨）的密度和分布影响最大，但目前 模型忽略了该地区的异质性。有限元 (FE) 建模提供了一种非侵入式 使用定量计算机断层扫描测量的骨质量指标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，很难准确量化骨量 临床上的降解。这项研究的主要目标是开发一种新型的计算小梁 腰椎小梁矩阵，用于从 CT 扫描中提取附加信息。这 本研究计算得出的小梁矩阵可以提供对这种关系的更多见解 图像数据和骨骼强度之间的关系。 将通过 qCT 扫描测量骨形态、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负荷将计算为 患者体重和身高。这些指标将输入 Optistruct，然后 Optistruct 将执行拓扑优化 以最佳方式将负载分布在整个小梁区域。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 使用伺服液压单轴加载系统将椎骨移除并压缩至失效。 然后，新计算的小梁矩阵将用于模拟衰老对骨质量退化的影响。 腰椎骨质量指标将从 30 名 50-79 岁之间的成年人身上获得，他们 间隔 12-48 个月接受基线和随访 CT 扫描。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、椎骨几何形状和皮质的变化 厚度。 这项研究将采用跨学科方法，利用放射学、生物力学和骨科来 研究与年龄相关的骨质减少。该项目将产生一种新颖的计算小梁矩阵，以提取额外的 来自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 骨科。