METHODS: A total of 282 native knees from 141 patients were retrospectively gathered from the hospital\'s records. Patients, aged between 16 and 45, who underwent Tc99m-methyl diphosphonate SPECT/CT scans for both knees, adhering to the Imperial Knee Protocol, were included. A statistical analysis was conducted, including 23 knee morphometric parameters, comparing left and right knees, and classifying them based on functional knee phenotypes across the coronal, sagittal, and axial planes.
RESULTS: Regarding the functional coronal knee phenotype, 26% of patients (n = 37) exhibited identical phenotypes in both knees (p < 0.001). Significant correlated similarities between the left and right knees were observed in the coronal plane (Pearson\'s r = 0.76, 0.68, 0.76, 0.76, p < 0.001) and in several morphometric measures in the sagittal plane (Pearson\'s r = 0.92, 0.72, 0.64, p < 0.001). Moderately correlated similarities were noted in the axial plane (Pearson\'s r = 0.43, 0.44, 0.43, p < 0.001).
CONCLUSIONS: Only 26% of native knees exhibit an identical coronal phenotype in their contralateral knee, whereas 67% have the adjacent coronal phenotype. Strongly correlated resemblances were established across various left and right knee morphometric parameters in the coronal, sagittal, and axial planes. These findings could enhance decisions in procedures like total knee arthroplasties or osteotomies, where alignment is key to outcomes, and reveal a potential for future artificial intelligence-driven models to improve our understanding and improve personalized treatment strategies for knee osteoarthritis.
方法:从医院的记录中回顾性收集了来自141例患者的282例本地膝关节。患者,年龄在16至45岁之间,双膝接受Tc99m-甲基二膦酸盐SPECT/CT扫描,遵守帝国膝盖协议,包括在内。进行了统计分析,包括23个膝关节形态参数,比较左膝和右膝,并根据整个冠状区的功能性膝关节表型对它们进行分类,矢状,和轴向平面。
结果:关于功能性冠状膝关节表型,26%的患者(n=37)在两个膝盖表现出相同的表型(p<0.001)。在冠状面(Pearson'sr=0.76,0.68,0.76,0.76,0.76,p<0.001)和在矢状面上的几种形态测量(Pearson'sr=0.92,0.72,0.64,p<0.001)观察到左右膝盖之间的显著相关相似性。在轴向平面中注意到中等相关的相似性(Pearson'sr=0.43,0.44,0.43,p<0.001)。
结论:只有26%的天然膝关节表现出相同的冠状表型,而67%具有相邻的冠状表型。在冠状区的各种左右膝盖形态参数之间建立了紧密相关的相似性,矢状,和轴向平面。这些发现可以增强全膝关节置换术或截骨术等手术的决策,对齐是结果的关键,并揭示了未来人工智能驱动模型的潜力,以提高我们的理解并改进膝关节骨关节炎的个性化治疗策略。