【摘要】 目的:通过计算机分形维数分析初步探讨骨质疏松及骨量减少患者下颌骨骨微结构的改变。方法:摄制了45名女性骨质疏松患者,27名女性骨量减少患者及52例对照组的全景片,并应用与合作单位共同开发的计算机分形维数分析软件计算了这些全景片兴趣区的分形维数。结果:骨质疏松组测得的兴趣区的FD值高于骨量减少组测得的FD值(P<0.05),而骨量减少组测得的FD值高于对照组测得的FD值(P<0.05)。但是,无论是骨量减少组还是骨质疏松组,FD与椎骨L1-L4平均骨密度之间都没有很明显的相关性(|r|<0.3)。Fisher线性判别分析显示,FD<1.28判断为正常人,FD在1.28～1.35之间判断为骨量减少,而FD>1.35者判断为骨质疏松。诊断效果良好。结论:骨质疏松症及骨量减少患者下颌骨兴趣区域的FD值增大较正常人增大。利用兴趣区FD值可以较好地诊断骨质疏松及骨量减少。更多还原

【Abstract】 Objective: To investigate the fractal dimension(FD) changes of osteoporotic and osteopenia patients.Methods: Our study included 45 female osteoporotic patients(group A,n=45),27 female osteopenia patients(group B,N=27),and control group(group C,n=52).Standard digital panoramic tomography was taken for each patient.Lumbar and hip BMD of group A and group B were measured with dual energy X-ray absorptionmetry(DXA).Results: Difference in FD.was found between group A(mean=1.37,SD=0.044,n=45) and group B(mean=1.33,SD=0.049,n=27)(P<0.05),also between group B and group C(mean=1.20,SD=0.46,N=52)(P<0.05).However,we can not find a good relation between BMD and FD(|r|<0.3).Fisher linear discriminant shows that we can diagnose osteoporosis and osteopenia well with FD: in control group,most patients’ FD in ROI is lesser then 1.28;in osteopenia group,most patients’ FD in ROI is lesser then1.35,and grater then 1.25;in osteoporosis group,most patients’FD is greater than 1.35.Conclusion: In general,FD decreases with the increase of BMD.We can diagnose osteoporosis and osteopenia with FD in ROI.更多还原