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 压力断裂是一种常见且高度破坏性的过度使用肌肉骨骼损伤，可能成功 短暂降低体育活动。但是，我们目前缺乏科学知识和技术 准确评估及时评估骨骼损伤的能力，使从业者有机会准备其余的 避免破裂发展所必需的。长期目标是增强压力科学知识 断裂的发展，并提高研究人员和临床能力，以预测和准确检测个体 有压力骨折的风险。该应用程序中的项目假设是从业人员可以诊断压力骨折 通过在损伤发育前检测胫骨负荷和骨骼微观障碍，在受伤之前的风险。这 这项工作的理由是，启用胫骨压力骨折的早期和准确的诊断可能是关键 有效的预防和治疗方式，并大大降低了这种破坏性的事件 肌肉骨骼损伤。该项目假设将通过追求三个具体目的来检验：（1）量化胫骨 跨各种体育活动的骨负荷； （2）在体育活动期间开发胫骨负荷的统计模型； 活动; （3）自动化超声使用以检测胫骨应力骨折。对于第一个和第二个目标，我们将 收集生物力学数据以评估室外通常遇到的条件下的胫骨负荷 有或没有胫骨应力骨折病史的个体的体育锻炼，并机械地将胫骨加载到 在体育锻炼的单一和反复出现中，开发了骨负荷经验的统计模型。 对于第三个目标，我们将在应力骨折后不久和骨折后不久收集胫骨的超声图像 症状已得到补贴，以标准化图像获取和分析技术以自动检测 受伤。申请人认为，拟议的研究具有创新性，因为它试图扩大基础 有关胫骨应力骨折发育的知识，可以实施以促进准确 识别有压力骨折风险的个体，并能够尽早发现胫骨损伤 受伤的前体。拟议的研究很重要，因为它将为更广泛的科学界提供 立即改善胫骨应力骨折诊断和治疗的宝贵知识，以及 强大的科学基础，为这一共同的有效预防和康复策略开发有效的科学基础 肌肉骨骼损伤。总的来说，这些切实的好处有可能大大减少 这种常见的过度损伤的患病率。