Developing an Automated Image Analysis and Finite Element Modeling Platform to Assess the Effects of Supplemental Protein and Weight Loss on Bone Health in Obese Older Adults

开发自动图像分析和有限元建模平台来评估补充蛋白质和减肥对肥胖老年人骨骼健康的影响

• 批准号: 10312760
• 负责人: Katelyn Anne Greene
• 金额: $ 4.6万
• 依托单位: WAKE FOREST UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-20 至 2023-08-19
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10312760
• 关键词: 3-Dimensional; Adult; Aerobic Exercise; Affect; Aging; Algorithmic Analysis; Americas; Attenuated; Award; Biological Sciences; Biology; Biomechanics; Biomedical Engineering; Biometry; Body Weight; Body Weight decreased; Body mass index; Bone Density; Caloric Restriction; Carbohydrates; Clinical Research; Clinical Trials; Clinical Trials Design; Collection; Computer Models; Computer software; Custom; Data; Data Science; Diet; Elderly; Elements; Engineering; Epidemic; Exercise; Fellowship; Fracture; Geriatrics; Gerontology; Health; Hip region structure; Hour; Image; Image Analysis; Informatics; Injury; Manuals; Measures; Mentors; Methodology; Methods; Modeling; Morbid Obesity; Musculoskeletal; National Research Service Awards; Obesity; Older Population; Outcome; Parents; Participant; Phase; Phenotype; Physical Function; Physiological; Population; Positioning Attribute; Principal Investigator; Process; Protein-Restricted Diet; Proteins; Radiology Specialty; Randomized; Research; Research Personnel; Research Project Grants; Resources; Risk; Risk Factors; Savings; Scanning; Software Design; Software Tools; Standardization; Structure; Supervision; Supplementation; Techniques; Therapeutic; Thick; Thinness; Time; Training; Universities; Woman; Writing; X-Ray Computed Tomography; age related; aging population; analysis pipeline; automated image analysis; base; bone; bone health; bone loss; bone metabolism; bone preservation; bone quality; bone strength; cardiometabolism; clinical application; clinically relevant; comorbidity; computerized tools; effective therapy; experience; follow-up; forest; fracture risk; fragility fracture; image processing; imaging informatics; improved; indexing; interdisciplinary collaboration; medical schools; men; osteoporosis with pathological fracture; pre-doctoral; protein intake; skeletal; spine bone structure; tool; translational approach; weight loss intervention

PROJECT SUMMARY Over the past several decades, obesity has risen to epidemic proportions and now affects over 40% of older adults in America. While intentional weight loss is a highly effective treatment for severe obesity and its associated comorbidities, increasing evidence suggests it disrupts skeletal health and increases fracture risk. Protein supplementation may reduce osteoporotic fracture risk and be effective in minimizing bone loss associated with intentional weight loss among the aging population. An ongoing clinical trial at Wake Forest University is exploring whether higher protein intake during a 6-month weight loss intervention followed by a 12- month follow-up in obese older adults results in better 18-month bone health compared to recommended protein intake or higher protein intake during the 6-month weight loss intervention only. This proposal enhances the parent study assessment of bone health and fracture prediction by streamlining the collection of advanced 3D bone measures from quantitative computed tomography (CT) and bone strength measures from finite element (FE) modeling. Aim 1 will develop an automated imaging informatics platform to analyze baseline, 6-month, and 18-month participant CT scans to measure volumetric bone mineral density (vBMD) and cortical thickness in the hip. Aim 2 will use subject-specific FE modeling to assess longitudinal bone strength and predict fracture. Taken together, these methodologic advancements will improve our understanding of how protein supplementation affects bone quality. The findings of this analysis could also establish the plausibility of protein supplementation as a clinically relevant therapeutic for attenuating bone loss and mitigating fracture risk in older adults undergoing weight loss. This research will be conducted in the Center for Injury Biomechanics at the Wake Forest School of Medicine as an interdisciplinary collaboration between the Departments of Biomedical Engineering, Gerontology and Geriatric Medicine, Radiology, and Biostatistics and Data Science. This fellowship will also serve as a unique opportunity to train the predoctoral principal investigator in gerontology research, clinical trials design, biostatistics, bone metabolism biology, image-based informatics, and computational biomechanics. Ultimately, the project will refine the principal investigator's biomedical engineering skillset in image analysis and computational modeling to provide valuable experience applying engineering techniques to improve bone health in older adults.

项目摘要 在过去的几十年里，肥胖已经上升到流行病的比例，现在影响到40%以上的老年人。 成年人在美国虽然有意减肥是治疗严重肥胖症的一种非常有效的方法， 与相关的合并症，越来越多的证据表明它破坏骨骼健康，增加骨折风险。 补充蛋白质可以降低骨质疏松性骨折的风险，并有效地减少骨质流失 与老龄化人口中的故意减肥有关。维克森林正在进行的临床试验 该大学正在研究在为期6个月的减肥干预期间， 与推荐的蛋白质相比，肥胖老年人的一个月随访结果显示，18个月的骨骼健康状况更好 摄入或更高的蛋白质摄入量在6个月的减肥干预。这项建议加强了 通过简化高级3D采集对骨骼健康和骨折预测的母研究评估 定量计算机断层扫描（CT）的骨测量和有限元的骨强度测量 (FE)建模Aim 1将开发一个自动化成像信息学平台， 18-一个月的参与者CT扫描，以测量体积骨矿物质密度（vBMD）和皮质厚度， 臀部.目标2将使用受试者特定FE建模来评估纵向骨强度并预测骨折。采取 总之，这些方法学上的进步将提高我们对蛋白质补充如何 影响骨质。这项分析的结果也可以确定蛋白质补充的可行性 作为一种临床相关的治疗方法，用于减轻骨丢失和降低老年人骨折风险， 减肥.这项研究将在维克森林学院的损伤生物力学中心进行。 医学是生物医学工程系、老年学系之间的跨学科合作 老年医学、放射学、生物统计学和数据科学。该奖学金也将作为一个独特的 培训老年学研究，临床试验设计， 生物统计学、骨代谢生物学、基于图像的信息学和计算生物力学。最后， 该项目将完善首席研究员在图像分析方面的生物医学工程技能， 计算建模提供应用工程技术改善骨骼健康的宝贵经验 在老年人中。