A quantitative framework to examine sex differences in musculoskeletal scaling and function

检查肌肉骨骼尺度和功能性别差异的定量框架

• 批准号: 10220349
• 负责人: Silvia Salinas Blemker
• 金额: $ 45.26万
• 依托单位: UNIVERSITY OF VIRGINIA
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10220349
• 关键词: Address; Adult; Affect; Age; Algorithms; Anatomy; Architecture; Biological; Biomechanics; Body Size; Body mass index; Case Study; Communities; Complement; Computer Models; Computer Simulation; Data; Data Set; Databases; Disease; Electromyography; Elements; Ensure; Female; Future; Gait; Goals; Height; Incidence; Individual; Injury; Joints; Kinetics; Knee Injuries; Lead; Lower Extremity; Magnetic Resonance Imaging; Measurement; Measures; Mechanics; Methods; Modeling; Motor; Movement; Muscle; Muscle function; Musculoskeletal; Musculoskeletal Diseases; Musculoskeletal System; Musculoskeletal structure; Neuromuscular Diseases; Physical Function; Population; Predisposition; Publishing; Research; Research Personnel; Resource Sharing; Resources; Role; Sex Differences; Skeleton; Testing; Time; Uncertainty; Walking; Work; base; bone; computer framework; digital; experience; health care disparity; imaging approach; injury recovery; innovation; insight; kinematics; limb movement; male; models and simulation; muscle strength; musculoskeletal injury; neuromuscular; novel; population based; prospective; research study; segmentation Image analysis; sex; simulation; skeletal; tool; usability

SUMMARY The goal of this proposal is to develop a quantitative framework to address sex as a biological variable in musculoskeletal modeling and simulation research. This new framework will allow the field to understand how sex differences in musculoskeletal structure influence movement biomechanics, musculoskeletal injury, and neuromuscular disease. There are many known differences in bone anatomy, joint mechanics, muscle architecture, and movement function between males and females. Likewise, it is well documented that there are significant sex differences in susceptibility to musculoskeletal injury and neuromuscular disease. However, while the use of computer simulations of movement to study how musculoskeletal structure influences neuromuscular injury and disease has increased dramatically due to advances in numerical algorithms and computational power, the models that are used are based on musculoskeletal data that (1) are derived from a male-only population, and/or (2) combine measures from males and females in a way that averages out any potential sex differences. These profound limitations leave the field without any tools to examine how the known sex differences in musculoskeletal structures may influence biomechanics, injury, and disease. This project has three key aims that will resolve these profound limitations. The first aim will develop a comprehensive digital database of lower limb muscles, joints, and bones across female and male populations of varying body sizes. This aim will be achieved through using high throughput image segmentation analysis of magnetic resonance images collected of 50 male and 50 female subjects. The second aim will incorporate the measurements from the first aim into a computational framework that enables for accurate sex-specific scaling of lower limb models, including the ability to capture the measured variability in the form of uncertainty analysis. The third aim will use the models in the second aim to develop a model-based analysis method to generate novel insights into sex differences in lower limb biomechanics. The analysis method will be applied to examine sex differences in muscle forces during walking and landing. Taken together, these aims will not only address critical questions related to differences in musculoskeletal structure and function between males and females, but also provide a rigorous, detailed, sex-specific digital database of data and models that will be provided open-access for the entire scientific community to use. This posted resource will empower the field with a set of tools to rigorously examine sex as a biological variable in musculoskeletal modeling research.

概括 该提案的目标是开发一个定量框架来解决性别作为生物变量的问题 肌肉骨骼建模与仿真研究。这个新框架将让该领域了解 肌肉骨骼结构的性别差异如何影响运动生物力学、肌肉骨骼 损伤和神经肌肉疾病。骨骼解剖学、关节力学、 男性和女性之间的肌肉结构和运动功能。同样，它有详细记录 肌肉骨骼损伤和神经肌肉损伤的易感性存在显着的性别差异 疾病。然而，虽然利用计算机模拟运动来研究肌肉骨骼如何 结构影响神经肌肉损伤，由于科学的进步，疾病急剧增加 数值算法和计算能力，所使用的模型基于肌肉骨骼 数据 (1) 来自仅男性人群，和/或 (2) 结合了男性和 以平均化任何潜在性别差异的方式。这些深刻的限制使得 领域没有任何工具来检查肌肉骨骼结构中已知的性别差异如何可能 影响生物力学、损伤和疾病。 该项目的三个关键目标将解决这些深刻的局限性。第一个目标将 开发女性和女性下肢肌肉、关节和骨骼的综合数字数据库 不同体型的男性群体。这一目标将通过使用高吞吐量图像来实现 对收集的 50 名男性和 50 名女性受试者的磁共振图像进行分割分析。这 第二个目标将把第一个目标的测量结果合并到一个计算框架中 能够对下肢模型进行准确的性别特异性缩放，包括捕获 以不确定性分析的形式测量变异性。第三个目标将使用第二个目标中的模型 旨在开发一种基于模型的分析方法，以对较低性别差异产生新的见解 肢体生物力学。该分析方法将用于检查肌肉力量的性别差异 在行走和着陆过程中。总而言之，这些目标不仅会解决与 男性和女性之间肌肉骨骼结构和功能的差异，也提供了 严格、详细、针对特定性别的数据和模型数字数据库将开放获取 整个科学界使用。此发布的资源将为该领域提供一组工具 严格检查性别作为肌肉骨骼建模研究中的生物变量。