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.

项目概要-棕色 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， 短暂减少体力活动然而，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，使从业人员有机会处方其余的 以避免裂缝的发展。长期目标是提高对压力的科学认识 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 有应力性骨折的危险本申请中的项目假设是从业人员可以诊断应力性骨折 通过在损伤发生前检测异常胫骨载荷和骨微损伤，的 这项工作的基本原理是，能够早期和准确诊断胫骨应力性骨折可能是关键， 有效的预防和治疗方式，并大大减少这种破坏性的发病率， 肌肉骨骼损伤将通过追求三个特定目标来测试项目假设：（1）量化胫骨 一系列体力活动中的骨负荷;（2）开发体力活动期间胫骨负荷的统计模型 活动;（3）自动化超声检测胫骨应力性骨折。为了实现第一和第二个目标， 收集生物力学数据，以评估在户外活动中通常遇到的条件下的胫骨载荷 对于有和没有胫骨应力性骨折史的个体进行体力活动，并机械地加载胫骨， 开发一个统计模型，在单次和重复的体力活动中经历骨负荷。 对于第三个目标，我们将收集胫骨应力性骨折后不久和骨折后的超声图像 症状已经消退，标准化图像采集和分析技术，以自动检测 损伤申请人认为，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，可用于促进准确的 识别有应力性骨折风险的个体，并能够早期检测胫骨损伤， 受伤的前兆这项拟议中的研究意义重大，因为它将为更广泛的科学界提供 为及时提高胫骨应力性骨折的诊断和治疗提供了有价值的知识， 为制定有效的预防和康复战略奠定坚实的科学基础， 肌肉骨骼损伤总的来说，这些有形的好处有可能大大减少 这种常见的过度使用损伤的患病率。