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: 10684930
• 负责人: Silvia Salinas Blemker
• 金额: $ 43.94万
• 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/10684930
• 关键词: Acceleration; 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; Uncertainty; Walking; Work; bone; computer framework; digital; empowerment; 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; Acceleration; 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; Uncertainty; Walking; Work; bone; computer framework; digital; empowerment; 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 该提议的目的是开发一个定量框架，以将性作为生物变量的性变量。 肌肉骨骼建模和仿真研究。这个新框架将使该领域了解 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。骨解剖学，关节力学有许多已知差异， 肌肉建筑和男性和女性之间的运动功能。同样，它有充分的记录 在肌肉骨骼损伤和神经肌肉的易感性上存在显着性别差异 疾病。但是，使用计算机模拟运动如何研究肌肉骨骼的方式 结构影响神经肌肉损伤和疾病，由于进步 数值算法和计算能力，使用的模型基于肌肉骨骼 （1）的数据源自仅男性人群，//或（2）合并男性和 女性以平均任何潜在的性别差异的方式。这些深刻的限制使 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 影响生物力学，伤害和疾病。 该项目具有三个关键目标，可以解决这些深刻的限制。第一个目标 在女性和 男性大小不同。通过使用高吞吐量图像来实现此目标 对50名男性和50名女性受试者收集的磁共振图像的分割分析。这 第二个目标将将第一个目标的测量结果纳入一个计算框架中 启用下肢模型准确的性别缩放，包括捕获的能力 以不确定性分析形式测量的可变性。第三个目标将在第二个模型中使用 旨在开发一种基于模型的分析方法，以产生对较低性别差异的新见解 肢体生物力学。分析方法将用于检查肌肉力的性别差异 在步行和着陆期间。综上所述，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，但也提供 严格，详细的，特定性别的数据和模型数据库，将为开放式访问提供 整个科学界要使用。此发布的资源将通过一组工具为该领域授权 严格将性别作为肌肉骨骼建模研究中的生物变量。