Emerging Technologies for Early Detection of Distal Leg Stress Fracture.

早期检测腿部远端应力性骨折的新兴技术。

• 批准号: 10557619
• 负责人: Tyler Brown
• 金额: $ 20.33万
• 依托单位: BOISE STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-04-06 至 2028-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10557619
• 关键词: Affect; Athletic; Biomechanics; Bone Matrix; Communities; Computational algorithm; Cumulative Trauma Disorders; Data; Detection; Development; Diagnosis; Distal; Early Diagnosis; Early identification; Economics; Emerging Technologies; Engineering; Etiology; Evaluation; Foundations; Fracture; Goals; Health; Image; Incidence; Individual; Injury; Jogging; Joints; Knowledge; Lead; Leg; Lower Extremity; Measures; Mental Health; Military Personnel; Modality; Modeling; Motor Activity; Outcome; Pain; Participant; Patients; Personal Satisfaction; Physical activity; Prevalence; Prevention; Principal Component Analysis; Recording of previous events; Recovery; Recreation; Rehabilitation therapy; Reporting; Research; Research Personnel; Rest; Risk; Robotics; Running; Rupture; Science; Severities; Speed; Splint Device; Standardization; Statistical Models; Stress Fractures; Surface; Symptoms; System; Techniques; Technology; Testing; Tibial Fractures; Time; Torsion; Transducers; Ultrasonography; Vision; Walking; Work; accurate diagnosis; bone; career; diagnostic platform; electronic sensor; experience; flexible electronics; fracture risk; high risk population; improved; injured; injury prevention; innovation; long bone; longitudinal analysis; mechanical load; musculoskeletal injury; physical conditioning; portability; radiological imaging; radiologist; real time monitoring; repaired; stress reduction; tibia; ultrasound

PROJECT SUMMARY – BROWN Stress Fracture is a common and highly destructive overuse musculoskeletal injury that may be successfully treated with a brief reduction in physical activity. Yet, we currently lack the scientific knowledge and technical capacity to accurately assess bone damage in time to allow practitioners an opportunity to prescribe the rest necessary to avoid fracture development. The long-term goal is to enhance scientific knowledge of stress fracture development, and improve researcher and clinician ability to predict and accurately detect individuals at risk for stress fracture. The project hypothesis in this application is practitioners can diagnose stress fracture risk prior to injury by detecting abnormal tibial loading and bone microdamage before injury development. The rationale for this work is that enabling early and accurate diagnosis of tibial stress fracture may be key for efficacious prevention and treatment modalities, and a substantial reduction in the incidence of this destructive musculoskeletal injury. The project hypothesis will be tested by pursuing three specific aims: (1) Quantify tibial bone loads across a range of physical activities; (2) Develop statistical model of tibial loading during physical activity; and (3) Automate ultrasound use to detect tibial stress fracture. For the first and second aims, we will collect biomechanical data to evaluate tibial loading during conditions commonly encountered during outdoor physical activity for individuals with and without history of tibial stress fracture, and mechanically load a tibia to develop a statistical model of bone loading experienced during single and repeated bouts of physical activity. For the third aim, we will collect ultrasound images of a tibia shortly after stress fracture and after fracture symptoms have subsided to standardize image acquisition and analysis techniques to automate detection of injury. The proposed research is innovative, in the applicant’s opinion, because it seeks to expand foundational knowledge regarding tibial stress fracture development that can be implemented to facilitate accurate identification of individuals at risk for stress fracture and enable early detection of the tibial damage that is a precursor to injury. The proposed research is significant because it will provide the wider scientific community the valuable knowledge to immediately improve tibial stress fracture diagnosis and treatment, as well as a strong scientific foundation to develop effective prevention and rehabilitative strategies for this common musculoskeletal injury. Collectively, these tangible benefits have potential to substantially reduce the prevalence of this common overuse injury.

项目摘要 – 棕色 应力性骨折是一种常见且具有高度破坏性的过度使用肌肉骨骼损伤，可以成功治愈 通过短暂减少体力活动进行治疗。然而，我们目前缺乏科学知识和技术。 及时准确评估骨损伤的能力，以便医生有机会制定其余的处方 避免骨折发展所必需的。长期目标是增强压力的科学知识 骨折发展，提高研究人员和临床医生预测和准确检测个体的能力 有应力性骨折的风险。本申请中的项目假设是从业者可以诊断应力性骨折 通过在损伤发生前检测异常的胫骨负载和骨微损伤来确定损伤前的风险。这 这项工作的基本原理是，早期准确地诊断胫骨应力性骨折可能是 有效的预防和治疗方式，并大幅减少这种破坏性的发生率 肌肉骨骼损伤。该项目假设将通过追求三个具体目标进行检验：（1）量化胫骨 一系列身体活动中的骨负荷； (2) 开发物理训练期间胫骨负荷的统计模型 活动; (3) 自动使用超声波来检测胫骨应力性骨折。为了第一和第二个目标，我们将 收集生物力学数据以评估户外常见条件下的胫骨负载 对有或没有胫骨应力性骨折病史的个体进行体力活动，并对胫骨进行机械负载 开发单次和重复体力活动期间经历的骨负荷的统计模型。 对于第三个目标，我们将在应力性骨折和骨折后不久收集胫骨的超声图像 症状已经消退，图像采集和分析技术标准化，可以自动检测 受伤。申请人认为，拟议的研究具有创新性，因为它旨在扩展基础研究 有关胫骨应力性骨折发展的知识，可用于促进准确的 识别有应力性骨折风险的个体，并能够及早发现胫骨损伤 受伤的前兆。拟议的研究意义重大，因为它将为更广泛的科学界提供 立即改进胫骨应力性骨折诊断和治疗的宝贵知识，以及 为这一常见问题制定有效的预防和康复战略奠定了坚实的科学基础 肌肉骨骼损伤。总的来说，这些切实的好处有可能大幅减少 这种常见的过度使用伤害的普遍性。