Department of Orthopaedics & Traumatology, The University of Hong Kong, Pokfulam, Hong Kong, China.
Department of Orthopaedics & Traumatology, The University of Hong Kong, Pokfulam, Hong Kong, China.
Osteoarthritis Cartilage. 2016 Oct;24(10):1753-1760. doi: 10.1016/j.joca.2016.04.020. Epub 2016 Apr 30.
Schmorl's nodes (SN) are highly associated with lumbar disc degeneration (DD). However, SN present with different morphologies/topographies that may be associated with varying degrees of DD. This study proposed a classification of SN to determine their morphological/topographical prevalence and association with the severity of DD.
Sagittal T2-weighted MRIs were assessed to identify SN and additional imaging findings from L1-S1 in 2,449 individuals. SN characteristics were classified by six criteria: disc level; endplate involvement; shape; size; location of endplate zone; and the presence of marrow changes. Hierarchical clustering was performed to identify distinct SN characteristics with endplate patterns.
Good to excellent observer classification reliability was noted. SN most commonly presented at the L1 and L2 disc levels, and entailed one-third of the endplate, predominantly the middle zone. Round shape (39.2%) was the most common SN shape. Four specific SN and endplate linkage patterns were identified. 8.3% of identified SN (n = 960) were "Atypical SN". Multivariable regression showed that "Typical SN" and "Atypical SN", depending on levels, were associated with an adjusted 2- to 4-fold and a 5- to 13-fold higher risk of increased severity of DD, respectively (p < 0.05).
This is the first large-scale magnetic resonance imaging (MRI) study to propose a novel SN classification. Specific SN-types were identified, which were associated with more severe DD. This study further broadens our understanding of the role of SN and degrees of DD, further expanding on the SN phenotyping that can be internationally adopted for utility assessment.
Schmorl 结节(SN)与腰椎间盘退变(DD)高度相关。然而,SN 表现出不同的形态/地形,可能与不同程度的 DD 相关。本研究提出了一种 SN 分类方法,以确定其形态/地形的流行程度及其与 DD 严重程度的关系。
对 2449 例个体的 L1-S1 矢状位 T2 加权 MRI 进行评估,以确定 SN 及其他影像学表现。通过六个标准对 SN 特征进行分类:椎间盘水平、终板受累、形状、大小、终板区位置和骨髓变化的存在。采用层次聚类分析确定具有终板模式的不同 SN 特征。
观察者分类可靠性良好至优秀。SN 最常见于 L1 和 L2 椎间盘水平,占终板的三分之一,主要位于中间区。圆形(39.2%)是最常见的 SN 形状。确定了四种特定的 SN 和终板连接模式。8.3%的识别 SN(n=960)为“非典型 SN”。多变量回归显示,“典型 SN”和“非典型 SN”(取决于水平)分别与调整后 DD 严重程度增加的 2-4 倍和 5-13 倍的风险相关(p<0.05)。
这是第一项提出新的 SN 分类的大规模磁共振成像(MRI)研究。确定了特定的 SN 类型,这些类型与更严重的 DD 相关。本研究进一步拓宽了我们对 SN 和 DD 程度的作用的理解,进一步扩展了可以国际采用的 SN 表型评估。