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首页> 外文期刊>Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology and Endodontics >Pixel intensity and fractal analyses: detecting osteoporosis in perimenopausal and postmenopausal women by using digital panoramic images.
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Pixel intensity and fractal analyses: detecting osteoporosis in perimenopausal and postmenopausal women by using digital panoramic images.

机译:像素强度和分形分析:通过使用数字全景图像,检测围绝经期和绝经后妇女的骨质疏松症。

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OBJECTIVE: Pixel intensity values (PI) and fractal dimensions (FD) were compared in selected mandibular regions on digital panoramic images of normal, osteopenic, and osteoporotic perimenopausal and postmenopausal women to evaluate their relative efficacies in detecting osteoporotic-associated bone density changes. STUDY DESIGN: Standardized mandibular angle, body, and canine/premolar (C/PM) regions on 54 charge-coupled device (CCD) digital panoramic images of normal and potentially osteoporotic postmenopausal women were analyzed for PI and FD. Lumbar spine and femoral neck dual-energy x-ray absorptiometry (DXA) on each patient served as the reference standard examination. Pearson correlation coefficients and analysis of variance (ANOVA) were performed. RESULTS: There was significant correlation among PI measurements (P < 0.01), and no significant correlation between FD. C/PM had significantly lower PI than control C/PM (P = 0.049). CONCLUSIONS: Osteoporotic changes in mandibular C/PM cancellous bone were detected in our study population on CCD digital panoramic images by using a robust image analysis paradigm. Future automated application of such image analysis could enable widespread, cost effective screening for osteoporosis in dental settings.
机译:目的:比较正常,骨质疏松和绝经后围绝经妇女和绝经后妇女的数字全景图像上选定下颌骨区域的像素强度值(PI)和分形维数(FD),以评估其在检测与骨质疏松症相关的骨密度变化中的相对功效。研究设计:对正常和潜在的骨质疏松症绝经后妇女的54个电荷耦合器件(CCD)数字全景图像上的标准化下颌角,身体和犬/前磨牙(C / PM)区域进行了PI和FD分析。每位患者的腰椎和股骨颈双能X线骨密度仪(DXA)均作为参考标准检查。进行了Pearson相关系数和方差分析(ANOVA)。结果:PI测量之间存在显着相关性(P <0.01),而FD之间无显着相关性。 C / PM的PI明显低于对照C / PM(P = 0.049)。结论:在我们的研究人群中,通过使用稳健的图像分析范例,在CCD数字全景图像上检测到了下颌C / PM松质骨的骨质疏松变化。这种图像分析的未来自动化应用可以实现对牙科环境中骨质疏松症的广泛,低成本的筛查。

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