Edd Shannon N, Babel Hugo, Kerkour Nadia, Jolles Brigitte M, Omoumi Patrick, Favre Julien
Department of Musculoskeletal Medicine (DAL), Lausanne University Hospital (CHUV), Lausanne, Switzerland.
Department of Musculoskeletal Medicine (DAL), Lausanne University Hospital (CHUV), Lausanne, Switzerland.
Knee. 2019 Jun;26(3):555-563. doi: 10.1016/j.knee.2019.03.006. Epub 2019 May 8.
The aim of this study was to develop and assess a method of quantifying cartilage T2 relaxation times in a series of volumes of interest (VOIs) covering the entire cartilage of the femoral condyles. Subsequently, the method was used to test for T2 spatial variations in non-osteoarthritic (OA) knees.
Ten non-OA subjects (five female, average 30 years) were enrolled after informed consent. Three-dimensional bone and cartilage models were created by double echo steady state (DESS) morphological magnetic resonance image (MRI) segmentation, and the models were semi-manually registered with multi-slice, multi-echo (MSME) T2 MRI. Mean T2 values were calculated for 12 VOIs derived from cartilage thickness literature and their respective superficial and deep layers.
Analyses showed that intra- and inter-rater reliabilities of the presented method were "good" to "excellent" in more than 90% of the VOIs. Additionally, several spatial differences in T2 values were observed, including, for the medial condyle, higher T2 values in the anterior and central VOIs versus in the posterior VOI (p < .05). T2 values were also generally higher in the superficial versus deep layers (p < .05).
The presented MRI T2 analysis method is reliable and provides a comprehensive quantification of spatial heterogeneity of healthy cartilage compositional properties. This method can be further applied to better understand knee OA pathophysiology and potentially define clinically relevant diagnostic features of the disease.
本研究的目的是开发并评估一种在一系列覆盖股骨髁整个软骨的感兴趣区(VOI)中量化软骨T2弛豫时间的方法。随后,该方法被用于检测非骨关节炎(OA)膝关节的T2空间变化。
在获得知情同意后,招募了10名非OA受试者(5名女性,平均年龄30岁)。通过双回波稳态(DESS)形态磁共振成像(MRI)分割创建三维骨骼和软骨模型,并将这些模型与多层多回波(MSME)T2 MRI进行半自动配准。计算从软骨厚度文献中得出的12个VOI及其各自的浅层和深层的平均T2值。
分析表明,在超过90%的VOI中,所提出方法的评分者内和评分者间可靠性为“良好”至“优秀”。此外,观察到T2值存在一些空间差异,包括在内侧髁中,前部和中央VOI的T2值高于后部VOI(p <.05)。浅层的T2值也普遍高于深层(p <.05)。
所提出的MRI T2分析方法可靠,可全面量化健康软骨组成特性的空间异质性。该方法可进一步应用于更好地理解膝关节OA的病理生理学,并有可能定义该疾病的临床相关诊断特征。