What semi-quantitative scoring instrument for knee OA MRI should you use?

被引:4
|
作者
Hunter, D. J. [1 ,2 ]
Zaim, S. [3 ]
Mosher, T. J. [4 ]
机构
[1] Univ Sydney, Dept Rheumatol, Royal N Shore Hosp, Sydney, NSW 2006, Australia
[2] Univ Sydney, No Clin Sch, Sydney, NSW 2006, Australia
[3] Synarc, San Francisco, CA USA
[4] Penn State Univ, Coll Med, Dept Radiol, Hershey, PA USA
关键词
Osteoarthritis; Magnetic resonance imaging; Semi-quantitative scoring; CARTILAGE LOSS; OSTEOARTHRITIS; SYSTEM;
D O I
10.1016/j.joca.2010.10.011
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
Multiple techniques have been used to assess synovial morphology and change on MRI in OA. Broadly speaking these methods are divided into quantitative and semi-quantitative methods(1). Quantitative measurements use computer-aided image processing to assess joint quantification (cartilage morphometry, bone volume, bone marrow lesion volume, meniscal position and volume, synovial volume, etc). In contrast to quantitative measures, semi-quantitative image analysis is typically much more observer dependent and generates grades or scales rather than truly continuous output. Multiple methods for semi-quantitative multi-feature assessment of the knee using conventional MRI acquisitions exist(2-5). These instruments provide for broad assessment of the whole joint and derive from knowledge from reading as to what joint features are morphologically abnormal. They are labour- and expertise-intensive compared to more automated methodologies. As a consequence of their reader dependence, precision and reliability results have not been as favourable for these instruments as their quantitative cousins. These instruments are generally based on past perceptions of what should be considered an important feature and therefore can bias future research. This said they do provide an important tool especially when quantitative methodologies are lacking or have their own inherent limitations. (C) 2010 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:1363 / 1364
页数:2
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