CAN REGISTRATION-BASED LOCATION-INDEPENDENT MEASUREMENT INCREASE THE SENSITIVITY TO BETWEEN-GROUP DIFFERENCES IN LONGITUDINAL CHANGE OF LAMINAR CARTILAGE T2?

W. Wirth , F. Eckstein
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In this model, location-independent measures were found to provide similar discrimination between these two groups as location-based measures. However, location-independent measures obtained across all individual voxels in the joint (instead of subregions) have been previously suggested to provide more detailed insights into OA-related cartilage thickness changes [4], but no study previously evaluated the sensitivity of such voxel-based shortening and lengthening scores to differences in change of laminar T2.</div></div><div><h3>OBJECTIVE</h3><div>To compare the sensitivity of voxel-based location-independent lengthening and shortening T2 scores to between-group differences in longitudinal change vs. the previously established technique of subregion-based location-independent and location-based measures in the above early OA model.</div></div><div><h3>METHODS</h3><div>Multi-echo spin-echo (MESE) MRIs were acquired at year 1 and 4 in the OAI (3T Trio, Siemens). We studied 39 KLG 0 knees with CL JSN, and 39 matched controls (criteria: same sex pain frequency, similar age (±5y) and BMI (±5kg/m<sup>2</sup>)) with bilateral KLG 0 [2]. Segmentation of the 4 femorotibial cartilages (medial/lateral tibia: MT/LT and central medial/lateral femoral condyle: cMF/cLF) was performed manually by experienced readers. Laminar T2 was computed for each segmented cartilage voxel and classified as deep or superficial, based on the distance to the cartilage surfaces. Location-based and subregion-based location-independent measures were obtained as described previously [2]. Voxel-based location-independent changes in laminar T2 were derived, summarizing the negative/positive changes across all voxels, for each of the femorotibial cartilages using the voxel-based approach (Fig. 1) These were then summarized across the entire femorotibial joint (FTJ). 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引用次数: 0

Abstract

INTRODUCTION

Location-independent measurements of cartilage thinning and thickening were shown to be more sensitive to differences in longitudinal change between groups than location-based measures [1,2]. They remove the link between the magnitude and direction of the change and its location, and hence are sensitive to local changes in the joint, independent of where they occur. Location-independent measures of T2 lengthening and shortening computed from 16 femorotibial subregions have been previously applied to a model of early OA. The model compared 3y T2 change in KLG 0 knees with contralateral (CL) joint space narrowing (JSN) vs that in KLG 0 knees with CL KLG 0 (controls) [3]. In this model, location-independent measures were found to provide similar discrimination between these two groups as location-based measures. However, location-independent measures obtained across all individual voxels in the joint (instead of subregions) have been previously suggested to provide more detailed insights into OA-related cartilage thickness changes [4], but no study previously evaluated the sensitivity of such voxel-based shortening and lengthening scores to differences in change of laminar T2.

OBJECTIVE

To compare the sensitivity of voxel-based location-independent lengthening and shortening T2 scores to between-group differences in longitudinal change vs. the previously established technique of subregion-based location-independent and location-based measures in the above early OA model.

METHODS

Multi-echo spin-echo (MESE) MRIs were acquired at year 1 and 4 in the OAI (3T Trio, Siemens). We studied 39 KLG 0 knees with CL JSN, and 39 matched controls (criteria: same sex pain frequency, similar age (±5y) and BMI (±5kg/m2)) with bilateral KLG 0 [2]. Segmentation of the 4 femorotibial cartilages (medial/lateral tibia: MT/LT and central medial/lateral femoral condyle: cMF/cLF) was performed manually by experienced readers. Laminar T2 was computed for each segmented cartilage voxel and classified as deep or superficial, based on the distance to the cartilage surfaces. Location-based and subregion-based location-independent measures were obtained as described previously [2]. Voxel-based location-independent changes in laminar T2 were derived, summarizing the negative/positive changes across all voxels, for each of the femorotibial cartilages using the voxel-based approach (Fig. 1) These were then summarized across the entire femorotibial joint (FTJ). Location-based, subregion-based location independent, and voxel-based location-independent laminar T2 change was compared between the CL JSN vs. control knees using Cohen's D as a measure of effect size with 95% confidence intervals obtained using boot-strapping.

RESULTS

In the deep layer, location-based longitudinal change in femorotibial T2 revealed a Cohen’s D between both groups of 0.37 [0.04, 0.69]), the subregion-based location independent analysis of 0.33 [0.00, 0.65]), and the voxel-based location-independent analysis of 0.36 [0.04, 0.68]) (Fig. 2). In the superficial layer, only the voxel-based absolute change score was sensitive to differences in longitudinal T2 change between both groups (Cohen’s D: 0.34 [0.02, 0.66]). Figure 3 shows the pattern of voxel-wise differences in superficial layer cMF and cLF T2 change between KLG 0 knees with CL JSN vs. control knees.

CONCLUSION

Effect sizes for the different location-based and location-independent T2 analyses (subregion and voxel-based) were similar for the deep cartilage. However, the new voxel-based method appeared to be also sensitive to between-group differences in T2 change in the superficial cartilage layer, where location-based and subregion-based location-independent measures failed to provide notable discrimination. In addition, the voxel-based technique allows to visualize patterns of differences in change between groups that can inform future analyses focusing on specific regions of interest.
基于注册的不依赖于位置的测量能否增加对组间板层软骨t2纵向变化差异的敏感性?
研究表明,与基于位置的测量相比,与位置无关的软骨变薄和增厚测量对组间纵向变化的差异更为敏感[1,2]。它们消除了变化的幅度和方向与其位置之间的联系,因此对关节的局部变化很敏感,而与它们发生的位置无关。从16个股胫亚区计算T2延长和缩短的位置无关测量先前已应用于早期OA模型。该模型比较了对侧(CL)关节间隙狭窄(JSN)的klg0膝关节与对侧(CL)关节间隙狭窄(JSN)的klg0膝关节的3y T2变化。在该模型中,发现与位置无关的措施在这两组之间提供了与基于位置的措施相似的歧视。然而,在关节的所有个体体素(而不是子区域)中获得的与位置无关的测量已经被建议为oa相关的软骨厚度变化[4]提供更详细的见解,但是之前没有研究评估这种基于体素的缩短和延长评分对层间T2变化差异的敏感性。目的比较基于体素的位置无关延长和缩短T2评分与先前建立的基于子区域的位置无关和基于位置的测量技术在上述早期OA模型中对组间纵向变化差异的敏感性。方法在OAI (3T Trio, Siemens)第1年和第4年获得多回波自旋回波(MESE) mri。我们研究了39例伴有cljsn的klg0膝关节,以及39例双侧klg0[2]的匹配对照(标准:疼痛频率相同,年龄相近(±5y)和BMI(±5kg/m2))。由经验丰富的读者手动分割4个股胫软骨(胫骨内侧/外侧:MT/LT和股骨中央内侧/外侧髁:cMF/cLF)。计算每个分段软骨体素的层流T2,并根据到软骨表面的距离将其分为深层或浅层。如前所述,获得了基于位置和基于子区域的与位置无关的测量[2]。利用基于体素的方法(图1),我们得出了椎板T2中基于体素的位置无关变化,总结了每个股胫软骨所有体素的负/正变化(图1),然后总结了整个股胫关节(FTJ)的变化。基于位置、基于子区域、基于体素的位置无关层流T2变化在CL JSN和对照膝关节之间进行比较,使用Cohen's D作为效应大小的度量,95%置信区间使用引导获得。结果在深部,基于位置的股胫T2纵向变化显示两组之间的Cohen’s D值为0.37[0.04,0.69]),基于子区域的位置独立分析为0.33[0.00,0.65]),基于体素的位置独立分析为0.36[0.04,0.68])(图2)。在表层,只有基于体素的绝对变化评分对两组纵向T2变化的差异敏感(Cohen’s D: 0.34[0.02, 0.66])。图3显示了KLG 0膝关节与对照膝关节在体素上浅层cMF和cLF T2变化的差异模式。结论基于不同位置和不依赖于不同位置的T2分析(基于亚区和体素)对深层软骨的效应大小相似。然而,新的基于体素的方法似乎对浅表软骨层T2变化的组间差异也很敏感,其中基于位置的和基于亚区域的位置无关的方法未能提供显着的区分。此外,基于体素的技术允许可视化组间变化差异的模式,可以为未来关注特定感兴趣区域的分析提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Osteoarthritis imaging
Osteoarthritis imaging Radiology and Imaging
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