Hirvasniemi J, Thevenot J, Immonen V, Liikavainio T, Pulkkinen P, Jämsä T, Arokoski J, Saarakkala S
Department of Medical Technology, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland.
Department of Medical Technology, University of Oulu, Oulu, Finland.
Osteoarthritis Cartilage. 2014 Oct;22(10):1724-31. doi: 10.1016/j.joca.2014.06.021.
To quantify differences in bone texture between subjects with different stages of knee osteoarthritis (OA) and age- and gender-matched controls from plain radiographs using advanced image analysis methods.
Altogether 203 knees were imaged using constant X-ray parameters and graded according to Kellgren-Lawrence (KL) grading scale (KL0: n = 110, KL1: n = 28, KL2: n = 27, KL3: n = 31, KL4: n = 7). Bone density-related and structure-related parameters were calculated from medial and lateral tibial subchondral bone plate and trabecular bone and from femur. Density-related parameters were derived from grayscale values and structure-related parameters from Laplacian- and local binary patterns (LBP)-based images.
Reproducibilities of structure-related parameters were better than bone density-related parameters. Bone density-related parameters were significantly (P < 0.05) higher in KL2-4 groups than in control group (KL0) in medial tibial subchondral bone plate and trabecular bone. LBP-based structure parameters differed significantly between KL0 and KL2-4 groups in medial subchondral bone plate, between KL0 and KL1-4 groups in medial and lateral trabecular bone, and between KL0 and KL1-4/KL2-4 in medial and lateral femur. Laplacian-based parameters differed significantly between KL0 and KL2-4 groups in medial side regions-of-interest (ROIs).
Our results indicate that the changes in bone texture in knee OA can be quantitatively evaluated from plain radiographs using advanced image analysis. Based on the results, increased bone density can be directly estimated if the X-ray imaging conditions are constant between patients. However, structural analysis of bone was more reproducible than direct evaluation of grayscale values, and is therefore better suited for quantitative analysis when imaging conditions are variable.
使用先进的图像分析方法,量化不同阶段膝关节骨关节炎(OA)患者与年龄和性别匹配的对照组在平片上的骨纹理差异。
共对203个膝关节使用恒定的X射线参数进行成像,并根据Kellgren-Lawrence(KL)分级量表进行分级(KL0:n = 110,KL1:n = 28,KL2:n = 27,KL3:n = 31,KL4:n = 7)。从胫骨内侧和外侧软骨下骨板及小梁骨以及股骨计算与骨密度相关和与结构相关的参数。与密度相关的参数从灰度值得出,与结构相关的参数从基于拉普拉斯和局部二值模式(LBP)的图像得出。
与结构相关的参数的可重复性优于与骨密度相关的参数。在胫骨内侧软骨下骨板和小梁骨中,KL2 - 4组的与骨密度相关的参数显著高于对照组(KL0)(P < 0.05)。基于LBP的结构参数在KL0与KL2 - 4组的内侧软骨下骨板之间、KL0与KL1 - 4组的内侧和外侧小梁骨之间以及KL0与KL1 - 4/KL2 - 4组的内侧和外侧股骨之间存在显著差异。基于拉普拉斯的参数在KL0与KL2 - 4组的内侧感兴趣区域(ROI)之间存在显著差异。
我们的结果表明,使用先进的图像分析可以从平片中定量评估膝关节OA的骨纹理变化。基于这些结果,如果患者之间的X射线成像条件恒定,则可以直接估计骨密度增加情况。然而,骨的结构分析比灰度值的直接评估更具可重复性,因此在成像条件可变时更适合进行定量分析。