EX VIVO VALIDATION OF IMAGE-BASED BIOMARKER OF PEDAL BONE QUALITY

基于图像的踏板骨质量生物标志物的体外验证

• 批准号: 8240874
• 负责人: DAVID Russell SINACORE
• 金额: $ 7.6万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-03-15 至 2014-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8240874
• 关键词: Amputation; Applications Grants; Area; Biological Markers; Biomechanics; Blood Vessels; Bone Density; Cadaver; Clinical; Collaborations; Cuneiform Bone; Data; Deformity; Densitometry; Diabetes Mellitus; Diagnostic radiologic examination; Disease; Dual-Energy X-Ray Absorptiometry; Elderly; Engineering; Ensure; Excision; Failure; Foot Deformities; Fracture; Funding; Goals; Healthy People 2010; Human; Image; Individual; Intervention; Lead; Limb structure; Lower Extremity; Materials Testing; Measures; Mechanics; Metatarsal bone structure; Methods; Modeling; Musculoskeletal; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Neurogenic arthropathy; Neuropathy; Operative Surgical Procedures; Orthopedics; Outcome; Pathway interactions; Peripheral Nervous System Diseases; Population; Prevention; Probability; Recording of previous events; Reference Standards; Regression Analysis; Research; Resolution; Risk; Risk Factors; Role; Scanning; Science; Scientist; Structure; Surgeon; System; Tarsal Bones; Techniques; Testing; Thick; Ulcer; United States National Institutes of Health; Universities; Validation; Vascular Diseases; Washington; Weight; X-Ray Computed Tomography; base; bone; bone quality; bone strength; clinically relevant; density; expectation; foot; foot bone; high risk; improved; indexing; knowledge base; novel; pathogen; prevent; prognostic; ranpirnase; response; standard measure; substantia spongiosa

DESCRIPTION (provided by applicant): Foot amputation is costly and prevalent, especially in older adults with diabetes, neuropathy, and vascular disease. The pathway to amputation includes fracture, structural deformities, ischemic vasculopathy and ulceration. Late recognition of bony complications delays interventions that could prevent amputation. This proposal is significant as it will identify image-based indices of pedal bone quality and quantity that are eary prognosticators of foot amputation in high-risk populations. The objective of this grant application is to test image-based measures of pedal bone quality and quantity as predictors of fracture strength in human 2nd metatarsals and 2nd cuneiforms. In Aim 1 the PIs will test image-based indices of pedal bone strength using mechanical testing. In Aim 2 they will compare volumetric quantitative computed tomography (vQCT) image-based measures to the reference standard of microCT. The PIs propose a novel study of image-based pedal bone quality and quantity measures from amputated and cadaver feet of advanced age with diabetes. They will perform multiple regression analysis using microCT-derived bone quality and quantity indices to predict whole-bone monotonic ultimate fracture force. The expectation is that the best model to predict bone fracture will include one or more bone quality indices. To test the clinical relevance of these measures the PIs compare microCT measures to similar vQCT-derived measures obtained prior to bone excision. This application will continue successful collaborations of a multi-professional team of clinical, image, engineering scientists and surgeons who have focused their expertise on developing and assessing image-based biomarkers to improve the recognition of neuropathy- and vasculopathy-induced bony complications of the foot that lead to amputation. PUBLIC HEALTH RELEVANCE: This application aims to assess novel candidate image-based biomarkers of pedal bone quality obtained from high resolution microCT and clinical vQCT scans. The PIs aim to determine the extent each biomarker predicts ultimate monotonic loading to fracture/failure (the reference standard for bone strength) in excised human tarsal and metatarsal bones from amputated and cadaver feet. Image-based biomarkers of pedal bone quality will be used to predict risk for lower extremity amputation in individuals with neuropathy and vascular diseases.

描述（由申请人提供）：足部截肢是昂贵的和普遍的，特别是在老年人与糖尿病，神经病变和血管疾病。截肢的途径包括骨折、结构畸形、缺血性血管病变和溃疡。骨并发症的迟发性识别延迟了可能防止截肢的干预措施。这一建议是重要的，因为它将确定基于图像的指数，足骨的质量和数量，是早期截肢的高危人群。这项资助申请的目的是测试基于图像的足部骨质量和数量的测量，作为人类第二跖骨和第二楔骨骨折强度的预测因子。在目标1中，PI将使用机械测试测试基于图像的足部骨强度指数。在目标2中，他们将比较基于体积定量计算机断层扫描（vQCT）图像的测量与microCT的参考标准。PI提出了一项新的研究，基于图像的足部骨质量和数量的措施，截肢和尸体的脚，老年糖尿病。他们将使用microCT衍生的骨质量和数量指数进行多元回归分析，以预测全骨单调极限骨折力。预期预测骨折的最佳模型将包括一个或多个骨质量指数。为了检验这些测量值的临床相关性，PI将microCT测量值与截骨前获得的类似vQCT衍生测量值进行比较。该应用将继续临床，图像，工程科学家和外科医生的多专业团队的成功合作，他们专注于开发和评估基于图像的生物标志物，以提高对导致截肢的足部神经病变和血管病变引起的骨骼并发症的识别。 公共卫生关系：本申请旨在评估从高分辨率microCT和临床vQCT扫描中获得的基于图像的新型候选足部骨质生物标志物。PI旨在确定每种生物标志物预测截肢和尸体足切除的人跗骨和跖骨最终单调载荷断裂/失效（骨强度的参考标准）的程度。基于图像的足部骨质生物标志物将用于预测神经病和血管疾病患者下肢截肢的风险。