核磁共振成像扫描时的膝关节定位对分割软骨体积的影响

V. Janacova , V. Juras , P. Szomolanyi , S. Trattnig
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引用次数: 0

摘要

简介:利用磁共振成像分割对血管变化进行无创监测已成为临床试验和OA纵向研究的重要组成部分。方案的许多部分,如磁共振序列参数、磁共振硬件或随访间隔时间都是固定的,以确保观察到的血管变化是由退行性/再生过程而非其他混杂因素引起的。本研究的目的是评估患者体位对股骨VC的影响。方法:在3T西门子PrismaFit(西门子医疗集团,德国福希海姆)上对8名健康志愿者(4男4女,平均年龄:35.5 ± 10.2岁)的左膝进行扫描。使用三维 DESS(TE=5ms,TR=14.1ms,160 切片,0.6x0.6x0.6mm3,翻转角=25°,采集时间=5:58 分钟)。每个志愿者的髌骨中心都标有一条黑线,两侧各画一条间隔为 1 厘米的黑线。一个专用的 15 通道膝关节线圈被放置在与扫描仪激光器对准这些线的位置,从而得到五个不同的膝关节位置:中立位、两个内侧旋转位和两个外侧旋转位。使用 RadiAnt DICOM Viewer(波兰波兹南 Medixant 公司)测量膝关节旋转角度(图 1)。使用 MR ChondralHealth 3.1 版研究应用软件(Siemens Healthineers AG,德国福希海姆)自动分割图像,然后根据需要进行手动编辑。体素体积乘以体素个数得出九个股骨头软骨区域的VC值:内侧前方(MaF)/中央(McF)/后方(MpF);套管外侧(TL)/中央(TC)/内侧(TM)和外侧前方(LaF)/中央(LcF)/后方(LpF)。使用斯皮尔曼相关系数评估膝关节旋转角度与 VC 之间的相关性:结果观察到的相关性如下:MaF = -0.06,McF = -0.18,MpF = -0.3,TL = 0.07,TC = 0.05,TM = 0.01,LaF = 0.15,LcF = -0.12,LpF = -0.2.结论虽然健康人的膝关节旋转角度与股骨VC之间存在可观察到的相关性,但这些相关性普遍较弱,且在不同软骨区域之间存在差异。股骨髁软骨的体积基本上不受膝关节定位的影响,而后髁区域则表现出弱负相关,这意味着假性 VC 减少。未来计划使用线性混合效应模型进一步量化这种影响。虽然定位对VC的影响可以忽略不计,但如果在纵向研究中预计VC的变化较小,那么在可比情况下验证预定的分割方法至关重要。
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EFFECT OF KNEE POSITIONING DURING MRI SCAN ON SEGMENTED CARTILAGE VOLUME

INTRODUCTION

Non-invasive monitoring of VC using segmentation of MRI images has become vital part of clinical trials and longitudinal OA studies. Many parts of protocol such as MR sequence parameters, MR hardware or time between follow-ups are fixed to ensure that the observed change in VC caused by degenerative/regenerative processes and not by other confounders. Consistent patient positioning during follow-up visits improves the overall precision, however due to various reasons, such as pain, same positioning might not be possible.

OBJECTIVE

Objective of this study was to assess an effect of the patient positioning on the femoral VC.

METHODS

The left knees of eight healthy volunteers (4 male, 4 female, mean age: 35.5 ± 10.2 years) were scanned on 3T Siemens PrismaFit (Siemens Healthineers AG, Forchheim, Germany). The 3D DESS (TE=5ms, TR=14.1ms, 160 slices, 0.6x0.6x0.6mm3, flip angle=25°, acquisition=5:58min) was used. Each volunteer's patella center was marked with a black line, and two additional lines spaced 1cm apart were drawn on each side. A dedicated 15-channel knee coil was positioned to align these lines with the scanner laser, resulting in five different knee positions: neutral, two medial rotations, and two lateral rotations. Knee rotation angles were measured using RadiAnt DICOM Viewer (Medixant, Poznań, Poland) (Fig. 1). Images were segmented automatically using MR ChondralHealth version 3.1 research application software (Siemens Healthineers AG, Forchheim, Germany), then manually edited if needed. Voxel volume times number of voxels yielded the VC for nine femoral cartilage regions: medial anterior (MaF)/central (McF)/posterior (MpF); trochlear lateral (TL)/central (TC)/medial (TM) and lateral anterior (LaF)/central (LcF)/posterior (LpF). The correlation between knee rotation angle and VC was assessed using Spearman's correlation coefficient.

RESULTS

Observed correlations were as follows: MaF = -0.06, McF = -0.18, MpF = -0.3, TL = 0.07, TC = 0.05, TM = 0.01, LaF = 0.15, LcF = -0.12, LpF = -0.2.

CONCLUSION

While there are observable correlations between knee rotation angle and femoral VC in healthy individuals, these correlations are generally weak and vary across different cartilage regions. Volume of trochlear cartilage is essentially unaffected by knee positioning, while the posterior condyle region exhibit weak negative correlation, implying the false VC decrease. Further quantification of the effect using linear mixed effects models is planned in the future. While the impact of positioning on VC is negligible, if the anticipated change in VC is expected to be small in longitudinal studies, it's crucial to validate the intended segmentation method in comparable situations.

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Osteoarthritis imaging
Osteoarthritis imaging Radiology and Imaging
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