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中文摘要
翻译
抽象成像核心 在大多数情况下,包括来自MRI、X线片和双能量CT(DECT)的大规模膝关节成像已经催化 对骨关节炎中结构性疾病的演变以及结构性病理与关节疼痛的关系的洞察。在 MOST4计划,扩大使用新的成像方式,包括低剂量负重CT Limb和DECT将增加这些评估的丰富性。从这些成像中获得有效的见解 医疗模式需要注意所获得的图像的质量,并同样注重分析和 成像数据的处理。成像核心将为所有这些成像方式提供严格的 监督图像的质量和从图像中收集的信息。在此过程中,成像核心 将丰富MOST4提供的不可估量的见解。MOST4成像核心的总体目标是: 1)确保临床中心采集的图像的高质量和完整性,包括 膝关节(MOST4 V1和V2),以及MOST4 V1的一组图像,包括手部X光片和负重 膝关节和其他下肢关节的CT,以及膝关节的超声和DECT;2)监督读数 中心,以确保从图像中获得高质量的数据;3)并提供分析准备阅读中心 所有四个MOST4项目和其他已获批准的MOST项目所需的数据和图像。成像核心将 通过调整和更新在过去19年中磨练和成功应用的方法来实现这些目标 超过MOST的三个资金周期。通过实现这些目标,成像核心将确保MOST4具有 高质量的关节成像数据,对于更深入地了解特定关节的作用至关重要 结构在骨关节炎发病机制中的作用,不同结构变化之间的相互关系以及它们是如何 反过来又与关节症状有关。成像核心还将使用深度学习方法来组合数据 从MOST3DECT和MRI图像探索性分析关节内晶体在共定位中的作用 软骨丢失。
英文摘要
ABSTRACT Imaging Core Large scale knee imaging in MOST, including from MRI, radiographs and dual energy CT (DECT), has catalyzed insights into the evolution of structural disease and the relation of structural pathology to joint pain in OA. In the MOST4 program, expanded use of new imaging modalities including low-dose weight bearing CT of the lower limb and DECT will add to the richness of these assessments. Deriving valid insights from these imaging modalities requires attention to the quality of the images acquired and similar focus on the analysis and processing of the imaging data. The Imaging Core will provide for all of these imaging modalities rigorous oversight of the quality of the images and of the information gleaned from them. In doing so, the Imaging Core will enrich immeasurably insights provided by MOST4. The overall goals of the Imaging Core for MOST4 are to: 1) ensure the high quality and completeness of images acquired by the clinical centers, including 1.5T MRI of the knee (at MOST4 V1 and V2), and a group of images at MOST4 V1, including hand X-rays and weight-bearing CT of the knees and other lower limb joints, and ultrasound and DECT of the knee; 2) oversee the reading centers to ensure the high quality of data derived from the images; 3) and provide analysis ready reading center data and images needed for all four MOST4 Projects and other approved MOST projects. The Imaging Core will achieve these goals by adapting and updating methods honed and successfully applied during the past 19 years over three funding cycles of MOST. By achieving these goals, the Imaging Core will ensure that MOST4 has the high-quality joint imaging data that is essential to achieving a deeper understanding of the role of specific joint structures in OA pathogenesis, of the inter-relationship between changes in different structures and how they are in turn related to joint symptoms. The Imaging Core will also use deep learning methods to combine data from MOST3 DECT and MRI images for exploratory analyses of the role of intra-articular crystals in co-localized cartilage loss.
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