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Dehiscence Detection Using Video Prints of Enhanced Images Acquired with a CCD Intra-Oral Detector

机译:使用CCD口腔检测仪获得的增强图像的视频打印进行裂开检测

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Objectives: The radiographic determination of dehiscence in the alveolar bone adjacent to teeth is problematic unless it occurs over time and can be displayed by radiographic subtraction. Hence a study was performed to determine whether enhancement of digitally-acquired images might facilitate detection of this condition. Methods: Fresh, non-embalmed dentulous cadavers served as the test model. Areas of natural dehiscence were recorded. In the absence o f natural dehiscence, defects were created in regions of the buccal or labial alveolar bone using a# 15 scalpel. The created defects were categorized either as “natural simulation” or “w ell-definedO ther areas were left intact as normal controls. Periapical radiographs were made using a RVG-S? with an Irix 70? X-ray generator (Trophy Radiologie, Vincennes, France). Constant projection geometry and exposure parameters were maintained. The observers were six orthodontists who examined video prints of enhanced images individually under identical viewing conditions. Results: The effect of presence and type of alveolar bone defect was statistically significant (p<0.002); however, the mode of image contrast enhancement had no significant impact (p<0.05). The overall sensitivity for detection o f the bony defects was only 30%, with a specificity of 79% and overall accuracy of 48%. Conclusions. Irrespective of the mode of contrast enhancement used, video prints from digital readout of images of the teeth and surrounding bone showed low sensitivity for the detection o f naturally occurring dehiscence and created defects simulating this condition.
机译:目的:放射照相确定邻近牙齿的牙槽骨裂隙是有问题的,除非随着时间的推移发生裂隙并且可以通过放射照相减法显示。因此,进行了一项研究以确定增强数字获取的图像是否可以促进这种情况的检测。方法:新鲜,无牙根的尸体作为测试模型。记录自然开裂的区域。在没有自然开裂的情况下,使用15号手术刀在颊或唇齿槽骨区域产生缺陷。所创建的缺陷被归类为“自然模拟”或“完全定义的其他区域”保留为正常对照。使用RVG-S进行根尖射线照相用Irix 70? X射线发生器(法国Vincennes的Trophy Radiologie)。保持恒定的投影几何形状和曝光参数。观察者是六名正畸医生,他们在相同的观看条件下分别检查了增强图像的视频打印。结果:牙槽骨缺损的存在和类型的影响具有统计学意义(p <0.002);但是,图像对比度增强模式没有显着影响(p <0.05)。检测骨缺损的总灵敏度仅为30%,特异性为79%,总准确度为48%。结论。不管使用哪种对比增强方式,从牙齿和周围骨骼图像的数字读出中获得的视频打印图像对于自然裂开的检测均显示出较低的灵敏度,并产生了模拟这种情况的缺陷。

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