在 3T MRI 高级图像分析的 3-6 个月观察下,能否检测到膝骨关节炎(OA)患者的软骨损失?
Can cartilage loss be detected in knee osteoarthritis (OA) patients with 3-6 months' observation using advanced image analysis of 3T MRI?
机构信息
Division of Research, New England Baptist Hospital, 125 Parker Hill Ave, Boston, MA 02120, USA.
出版信息
Osteoarthritis Cartilage. 2010 May;18(5):677-83. doi: 10.1016/j.joca.2010.02.010. Epub 2010 Feb 26.
PURPOSE
Prior investigations of magnetic resonance imaging (MRI) biomarkers of cartilage loss in knee osteoarthritis (OA) suggest that trials of interventions which affect this biomarker with adequate statistical power would require large clinical studies of 1-2 years duration. We hypothesized that smaller, shorter duration, "Proof of Concept" (PoC) studies might be achievable by: (1) selecting a population at high risk of rapid medial tibio-femoral (TF) progression, in conjunction with; (2) high-field MRI (3T), and; (3) using advanced image analysis. The primary outcome was the cartilage thickness in the central medial femur.
METHODS
Multi-centre, non-randomized, observational cohort study at four sites in the US. Eligible participants were females with knee pain, a body mass index (BMI)> or =25 kg/m(2), symptomatic radiographic evidence of medial TF OA, and varus mal-alignment. The 29 participants had a mean age of 62 years, mean BMI of 36 kg/m(2), with eight index knees graded as Kellgren-Lawrence (K&L)=2 and 21 as K&L=3. Eligible participants had four MRI scans of one knee: two MRIs (1 week apart) were acquired as a baseline with follow-up MRI at 3 and 6 months. A trained operator, blind to time-point but not subject, manually segmented the cartilage from the Dual Echo Steady State water excitation MR images. Anatomically corresponding regions of interest were identified on each image by using a three-dimensional statistical shape model of the endosteal bone surface, and the cartilage thickness (with areas denuded of cartilage included as having zero thickness - ThCtAB) within each region was calculated. The percentage change from baseline at 3 and 6 months was assessed using a log-scale analysis of variance (ANOVA) model including baseline as a covariate. The primary outcome was the change in cartilage thickness within the aspect of central medial femoral condyle exposed within the meniscal window (w) during articulation, neglecting cartilage edges [nuclear (n)] (nwcMF x ThCtAB), with changes in other regions considered as secondary endpoints.
RESULTS
Anatomical mal-alignment ranged from -1.9 degrees to 6.3 degrees , with mean 0.9 degrees . With one exception, no changes in ThCtAB were detected at the 5% level for any of the regions of interest on the TF joint at 3 or 6 months of follow-up. The change in the primary variable (nwcMF x ThCtAB) from (mean) baseline at 3 months from the log-scale ANOVA model was -2.1% [95% confidence interval (CI) (-4.4%, +0.2%)]. The change over 6 months was 0.0% [95% CI (-2.7%, +2.8%)]. The 95% CI for the change from baseline did not include zero for the cartilage thickness within the meniscal window of the lateral tibia (wLT x ThCtAB) at 6 month follow-up (-1.5%, 95% CI [-2.9, -0.2]), but was not significant at the 5% level after correction for multiple comparisons.
CONCLUSIONS
The small inconsistent compartment changes, and the relatively high variabilities in cartilage thickness changes seen over time in this study, provide no additional confidence for a 3- or 6-month PoC study using a patient population selected on the basis of risk for rapid progression with the MRI acquisition and analyses employed.
目的
先前的磁共振成像(MRI)生物标志物研究表明,在膝关节骨关节炎(OA)中,影响该生物标志物的干预措施需要进行为期 1-2 年的大型临床研究,以获得足够的统计效力。我们假设,通过以下方式,可以实现较小、较短时间的“概念验证”(PoC)研究:(1)选择具有快速内侧胫骨股骨(TF)进展风险的人群,同时;(2)采用高磁场 MRI(3T),和;(3)使用先进的图像分析。主要结局是中央内侧股骨的软骨厚度。
方法
在美国四个地点进行的多中心、非随机、观察性队列研究。符合条件的参与者为有膝关节疼痛、体重指数(BMI)≥25 kg/m2、内侧 TF OA 有症状性放射学证据和内翻畸形的女性。29 名参与者的平均年龄为 62 岁,平均 BMI 为 36 kg/m2,其中 8 个指数膝关节分级为 Kellgren-Lawrence(K&L)=2,21 个为 K&L=3。符合条件的参与者有一侧膝关节接受了 4 次 MRI 扫描:两次 MRI(相隔 1 周)作为基线进行采集,在 3 个月和 6 个月时进行随访 MRI。一名经过培训的操作人员,对时间点不知情,但对受试者知情,从双回波稳态水激发 MR 图像手动分割软骨。通过使用骨髓内骨表面的三维统计形状模型,在每个图像上识别出相应的感兴趣区域,计算每个区域内的软骨厚度(包括软骨缺损区域的厚度为零 - ThCtAB)。使用基线作为协变量的对数尺度方差(ANOVA)模型评估 3 个月和 6 个月时的基线变化百分比。主要结局是在关节运动过程中半月板窗口(w)内暴露的中央内侧股骨髁的软骨厚度变化,忽略软骨边缘[nuclear(n)](nwcMF x ThCtAB),认为其他区域的变化为次要终点。
结果
解剖学畸形范围从-1.9 度到 6.3 度,平均为 0.9 度。除了一个例外,在 3 个月和 6 个月的随访中,TF 关节的任何感兴趣区域都没有在 5%的水平上检测到任何区域的 ThCtAB 变化。从基线开始,3 个月时对数尺度 ANOVA 模型的主要变量(nwcMF x ThCtAB)变化为-2.1%(95%置信区间(CI)(-4.4%,+0.2%))。6 个月时的变化为 0.0%(95% CI(-2.7%,+2.8%))。在进行多次比较校正后,6 个月时半月板窗(wLT x ThCtAB)的软骨厚度变化在统计学上没有显著意义,但在 5%的水平上没有包括零(-1.5%,95%CI[-2.9,-0.2])。
结论
在这项研究中,随着时间的推移,各小关节变化不一致,软骨厚度变化的相对变异性较高,这为使用基于 MRI 采集和分析选择的快速进展风险患者人群进行 3 或 6 个月的 PoC 研究提供了额外的信心。
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