Collaborative Research: Uncovering the Multiscale Determinants of Atypical Femoral Fracture using MRI and CT-Based Modeling

合作研究：利用 MRI 和 CT 建模揭示非典型股骨骨折的多尺度决定因素

• 批准号: 2026906
• 负责人: Chamith Rajapakse
• 金额: $ 27.86万
• 依托单位: University of Pennsylvania
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2026906&HistoricalAwards=false
• 关键词: Collaborative; Research; Uncovering; Multiscale; Determinants

This award supports fundamental research to uncover the factors that contribute to atypical femoral fracture. Atypical femoral fracture is a rare side effect of long-term use of some drugs to treat osteoporosis. Osteoporosis, or a decrease in bone strength, is responsible for over two million bone fractures annually in the United States. This increases mortality and decreases quality-of-life. This project will make a computer model of atypical femoral fracture, based on images from real patients. It will then be used to study how the effects of bone geometry and material properties (for example, how hard or soft a bone is) combine to determine fracture risk. This new understanding of atypical femoral fracture made possible by this project will ultimately improve the ability to identify those at risk and may also enable new drug discovery to avoid all types of bone fracture. These longer-term outcomes will result in improved quality of life for patients and reduced health care costs. This project will also include activities to improve long term faculty diversity in science and engineering through outreach to groups underrepresented in science and engineering. There is currently neither a systematic experimental or computational study that has identified which factors are the most important determinants of atypical femoral fracture, nor a suitable computational model for assessing such types of fracture. Thus, the overall goal of this project is to identify the fundamental mechanisms that lead to atypical femoral fracture using a novel, multimodal, image-based, and multiscale computational bone model. The project will develop and validate multiscale whole femur computational models based on magnetic resonance imaging and high resolution micro-computed tomography. This new model will be used to determine the individual and coupled effects of macro- and microscale properties on atypical femoral fracture, as well as the critical levels of these factors that would lead to atypical femoral fracture. As a result, this novel computational modeling approach will provide unique information on the most important determinants of atypical femoral fracture that cannot be directly identified by experiments.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该奖项支持基础研究，以揭示导致非典型股骨骨折的因素。非典型股骨骨折是长期使用某些药物治疗骨质疏松症的罕见副作用。 骨质疏松症，或骨强度降低，在美国每年造成超过200万例骨折。 这增加了死亡率，降低了生活质量。本计画将根据真实的病人的影像，制作一个非典型股骨骨折的电脑模型。 然后，它将用于研究骨几何形状和材料特性（例如，骨的软硬程度）的影响如何结合联合收割机来确定骨折风险。 该项目对非典型股骨骨折的新认识将最终提高识别风险人群的能力，并可能使新药发现能够避免所有类型的骨折。这些长期结果将提高患者的生活质量，降低医疗保健成本。该项目还将包括通过与科学和工程领域代表性不足的群体进行外联，改善科学和工程领域长期教师多样性的活动。目前既没有一个系统的实验或计算研究，已确定哪些因素是最重要的决定因素的非典型股骨骨折，也没有一个合适的计算模型来评估这种类型的骨折。因此，本项目的总体目标是使用一种新颖的、多模态的、基于图像的和多尺度的计算骨模型来识别导致非典型股骨骨折的基本机制。该项目将开发和验证基于磁共振成像和高分辨率微型计算机断层扫描的多尺度全股骨计算模型。这个新模型将用于确定宏观和微观尺度属性对非典型股骨骨折的个体和耦合效应，以及导致非典型股骨骨折的这些因素的临界水平。因此，这种新的计算建模方法将提供独特的信息，最重要的决定因素，非典型股骨骨折，不能直接确定的experiments.This奖项反映了NSF的法定使命，并已被认为是值得支持，通过评估使用该基金会的智力价值和更广泛的影响审查标准。