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.

项目总结--布朗 应力性骨折是一种常见的高度破坏性的过度使用肌肉骨骼损伤，可能会成功 以短暂的体力活动减少治疗。然而，我们目前缺乏科学知识和技术 及时准确评估骨骼损伤的能力，使从业者有机会开出剩余的处方 有必要避免骨折的发生。长期目标是提高对压力的科学认识。 骨折的发展，并提高研究人员和临床医生预测和准确检测个体的能力 面临应力性骨折的风险。此应用程序中的项目假设是从业者可以诊断应力性骨折 在受伤前检测异常的胫骨负荷和骨骼微损伤，从而在受伤前存在风险。这个 这项工作的基本原理是，能够早期和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，大幅减少这种破坏性疾病的发生率 肌肉骨骼损伤。项目假设将通过追求三个具体目标来检验：(1)量化胫骨 在一系列体力活动中的骨负荷；(2)建立体力活动中胫骨负荷的统计模型 活动；以及(3)自动使用超声波检测胫骨应力性骨折。对于第一和第二个目标，我们将 收集生物力学数据以评估在户外常见情况下的胫骨负荷 有和没有胫骨应力性骨折病史的个人的体力活动，并将胫骨机械加载到 建立在单次和重复的体力活动中所经历的骨负荷的统计模型。 对于第三个目标，我们将收集应力性骨折后不久和骨折后不久的胫骨的超声图像 症状已消退，以标准化图像采集和分析技术，以自动检测 受伤。申请人认为，拟议的研究是创新的，因为它寻求扩大基础研究 关于胫骨应力性骨折发展的知识，可以实施，以促进准确 识别有应力性骨折风险的个人，并能够及早发现胫骨损伤，即 是受伤的前兆。这项拟议的研究意义重大，因为它将为更广泛的科学界提供 立即提高胫骨应力性骨折诊断和治疗的宝贵知识，以及 为制定有效的预防和康复策略奠定了坚实的科学基础 肌肉骨骼损伤。总体而言，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流行率。