Development of Sodium Fluoride PET-MRI for Quantitative Assessment of Knee Osteoarthritis

项目摘要 骨关节炎（OA）是全球残疾的主要原因。非侵入性技术无法 量化疾病进展限制了对OA发病机制的理解。虽然许多磁性 已经提出了共振成像（MRI）方法用于对OA进行成像，对骨代谢的敏感性已经 被限制。我们建议开发先进的三维PET-MRI方法，用于骨和软组织 代谢，以研究关节中的组织对膝关节负荷变化的反应。这项工作将导致一个新的 通过揭示软骨和骨变化之间的关系来了解OA的发病机制 新陈代谢。 该项目旨在开发PET-MRI方法，以灵敏地跟踪OA对生物力学响应的变化 加载中我们的具体目标是（1）开发准确，可重复和剂量优化的动力学模型， 使用深度学习和高级MR进行定量双侧全关节成像的动态18F-NaF PET-MRI 线圈技术，（2）使用PET研究静息状态骨代谢与生物力学之间的关系 MRI和（3）进行纵向研究，以评估我们的新成像方法对关节病变的反应。 步态再训练的生物力学。 这项工作的创新在于开发新的成像技术，同时提供 使用PET-MRI定量测量软骨和骨中的组织生理学。这项工作的意义 我们将能够灵敏而定量地追踪骨代谢和软组织的变化 随着时间的推移，由于膝关节中生物力学载荷的变化而导致的微结构。这将提供新的和 更敏感的成像工具，以评估关节对生物力学干预的反应，以治疗OA， 如步态再训练、支具或胫骨高位截骨术。

Project Summary Osteoarthritis (OA) is the leading cause of disability worldwide. The inability of non-invasive techniques to quantify disease progression has limited understanding of the pathogenesis of OA. While numerous magnetic resonance imaging (MRI) methods have been proposed for imaging OA, sensitivity to bone metabolism has been limited. We propose to develop advanced three-dimensional PET-MRI methods for bone and soft tissue metabolism to study the response of the tissues in the joint to changes in knee load. This work will lead to a new understanding of OA pathogenesis by revealing relationships between changes in cartilage and bone metabolism over time. This project aims to develop PET-MRI methods to sensitively track changes of OA in response to biomechanical loading. Our specific aims are to (1) Develop accurate, reproducible and dose-optimized kinetic models of dynamic 18F-NaF PET-MRI for quantitative bilateral whole joint imaging using deep learning and advanced MR coil technology, (2) Study the relationship between resting state bone metabolism and biomechanics using PET- MRI and (3) Perform a longitudinal study to assess the response of our new imaging methods to changes in joint biomechanics from gait retraining. The innovation of this work lies in the development of novel imaging techniques that simultaneously offer quantitative measures of tissue physiology in cartilage and bone using PET-MRI. The significance of this work is that we will be able to sensitively and quantitatively track changes in bone metabolism and soft tissue microstructure due to changes in biomechanical loading in the knee joint over time. This will provide new and more sensitive imaging tools to assess the responses of the joint to biomechanical interventions to treat OA such as gait retraining, bracing, or high tibial osteotomy.