Chan Adrian C H, Adachi Jonathan D, Papaioannou Alexandra, Wong Andy Kin On
Osteoporosis Program, University Health Network, Toronto, ON, Canada.
Department of Medicine, McMaster University, Hamilton, ON, Canada.
J Clin Densitom. 2018 Jan-Mar;21(1):130-139. doi: 10.1016/j.jocd.2016.12.001. Epub 2017 Jan 3.
Lower peripheral quantitative computed tomography (pQCT)-derived leg muscle density has been associated with fragility fractures in postmenopausal women. Limb movement during image acquisition may result in motion streaks in muscle that could dilute this relationship. This cross-sectional study examined a subset of women from the Canadian Multicentre Osteoporosis Study. pQCT leg scans were qualitatively graded (1-5) for motion severity. Muscle and motion streak were segmented using semi-automated (watershed) and fully automated (threshold-based) methods, computing area, and density. Binary logistic regression evaluated odds ratios (ORs) for fragility or all-cause fractures related to each of these measures with covariate adjustment. Among the 223 women examined (mean age: 72.7 ± 7.1 years, body mass index: 26.30 ± 4.97 kg/m), muscle density was significantly lower after removing motion (p < 0.001) for both methods. Motion streak areas segmented using the semi-automated method correlated better with visual motion grades (rho = 0.90, p < 0.01) compared to the fully automated method (rho = 0.65, p < 0.01). Although the analysis-reanalysis precision of motion streak area segmentation using the semi-automated method is above 5% error (6.44%), motion-corrected muscle density measures remained well within 2% analytical error. The effect of motion-correction on strengthening the association between muscle density and fragility fractures was significant when motion grade was ≥3 (p interaction <0.05). This observation was most dramatic for the semi-automated algorithm (OR: 1.62 [0.82,3.17] before to 2.19 [1.05,4.59] after correction). Although muscle density showed an overall association with all-cause fractures (OR: 1.49 [1.05,2.12]), the effect of motion-correction was again, most impactful within individuals with scans showing grade 3 or above motion. Correcting for motion in pQCT leg scans strengthened the relationship between muscle density and fragility fractures, particularly in scans with motion grades of 3 or above. Motion streaks are not confounders to the relationship between pQCT-derived leg muscle density and fractures, but may introduce heterogeneity in muscle density measurements, rendering associations with fractures to be weaker.
较低的外周定量计算机断层扫描(pQCT)得出的腿部肌肉密度与绝经后女性的脆性骨折有关。图像采集过程中的肢体运动可能会导致肌肉中出现运动条纹,从而削弱这种关系。这项横断面研究对加拿大多中心骨质疏松症研究中的一部分女性进行了检查。对pQCT腿部扫描的运动严重程度进行了定性分级(1 - 5级)。使用半自动(分水岭法)和全自动(基于阈值法)方法对肌肉和运动条纹进行分割,计算面积和密度。二元逻辑回归评估了在进行协变量调整后,与这些测量指标相关的脆性或全因骨折的比值比(OR)。在检查的223名女性中(平均年龄:72.7±7.1岁,体重指数:26.30±4.97kg/m²),两种方法在去除运动后肌肉密度均显著降低(p < 0.001)。与全自动方法(rho = 0.65,p < 0.01)相比,使用半自动方法分割的运动条纹面积与视觉运动分级的相关性更好(rho = 0.90,p < 0.01)。尽管使用半自动方法进行运动条纹面积分割的分析 - 再分析精度高于5%误差(6.44%),但运动校正后的肌肉密度测量误差仍保持在2%以内。当运动分级≥3时,运动校正对加强肌肉密度与脆性骨折之间关联的作用显著(p交互作用<0.05)。这种观察结果在半自动算法中最为显著(校正前OR:1.62 [0.82, 3.17],校正后OR:2.19 [1.05, 4.59])。尽管肌肉密度与全因骨折总体上存在关联(OR:1.49 [1.05, 2.12]),但运动校正的效果在运动分级为3级或以上的扫描个体中再次最为显著。对pQCT腿部扫描进行运动校正加强了肌肉密度与脆性骨折之间的关系,特别是在运动分级为3级或以上的扫描中。运动条纹不是pQCT得出的腿部肌肉密度与骨折之间关系的混杂因素,但可能会在肌肉密度测量中引入异质性,使与骨折的关联变弱。