Pholpat Durongbhan , James W. MacKay , Jemima E. Schadow , Catherine E. Davey , Kathryn S. Stok
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引用次数: 1
Abstract
Objective
To highlight published quantitative morphometric analysis (QMA) methods for assessing tibiofemoral joint osteoarthritis in magnetic resonance imaging and computed tomography and underline the need for open and interoperable protocols for quantitative image analysis.
Design
A literature search on PubMed/MEDLINE and Web of Science of keywords relating to QMA in magnetic resonance imaging and computed tomography in the context of tibiofemoral osteoarthritis in the past 23 years (2000–2022). The search was based on, but not limited to: “quantitative morphometric analysis” or “quantitative image analysis” in combination with “osteoarthritis”, “articular cartilage”, “subchondral bone”, “tibiofemoral joint”, “joint”, “CT”, and “MRI”. The search found 73 relevant publications that were manually screened and sorted for QMA methods. A further search to extract key functions of the underlying algorithms was performed.
Result
MRI is generally used for QMA of articular cartilage and joint contact area, while CT is generally used for QMA of subchondral bone and joint space width. Studies have shown that QMA algorithms can be adapted to new tissues and modalities. However, many methods are not easily accessible, and there is fragmentation of computational tools and platforms in the research field.
Conclusion
QMA is an active research area, and many techniques from one modality can be readily extended to another. Adoption of open-source practices can allow algorithms developed for other imaging modalities to be shared, making it possible to bridge the knowledge gap for structures and pathological features for which QMA has not yet been investigated and to increase research output overall.
目的重点介绍磁共振成像和计算机断层扫描中用于评估胫骨股骨关节骨性关节炎的定量形态分析(QMA)方法,并强调定量图像分析需要开放和可互操作的协议。在PubMed/MEDLINE和Web of Science检索近23年(2000-2022)胫骨股骨骨关节炎磁共振成像和计算机断层扫描中QMA相关关键词的文献。搜索基于但不限于:“定量形态学分析”或“定量图像分析”,结合“骨关节炎”、“关节软骨”、“软骨下骨”、“胫股关节”、“关节”、“CT”和“MRI”。搜索发现了73份相关的出版物,这些出版物是通过人工筛选和QMA方法分类的。进一步搜索以提取底层算法的关键函数。结果关节软骨及关节接触面积的QMA一般采用mri,软骨下骨及关节间隙宽度的QMA一般采用CT。研究表明,QMA算法可以适应新的组织和模式。然而,许多方法并不容易获得,并且在研究领域存在计算工具和平台的碎片化。结论质量管理是一个活跃的研究领域,许多技术从一种模式可以很容易地扩展到另一种模式。采用开源实践可以允许为其他成像模式开发的算法共享,从而有可能弥合QMA尚未研究的结构和病理特征的知识差距,并增加总体研究产出。