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The estimation of the volume of sheep mandibular defects using cone-beam computed tomography images and a stereological method

机译:锥形束计算机断层扫描图像和立体学方法估算绵羊下颌缺损的体积

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摘要

>Objective: The Cavalieri principle of stereological methods is widely used to estimate the volume of structures. Recently in clinical practice, it has become common to use this approach for daily routine purposes. The Cavalieri principle provides quantitative and unbiased volume estimates which are independent of the observer. In the present study, the efficacy of using the Cavalieri principle to estimate the volume of sheep mandibular defects on cone beam CT (CBCT) scans was tested.>Methods: 24 differently sized defects were created on 4 sheep mandibles. Before the defects were created, the outer boundaries of the defects were determined using plaster casts. CBCT scans of the defects were taken. The scans were reconstructed in the coronal plane and sections of 0.2 mm thickness with 0.2 mm and 0.4 mm intervals were obtained. The volume of each defect was estimated using the Cavalieri principle. The models were created using light-body silicone for the estimation of the actual volume of each defect. They were immersed in water using a pycnometer and the actual volumes were obtained on the basis of the Archimedean principle. The actual and estimated volumes of the defects were compared using the Wilcoxon signed-rank test.>Results: The results showed that the volumes from the Cavalieri estimates did not differ from the actual volumes of the defects (P > 0.05).>Conclusion: We concluded that the volume of mandibular defects can be accurately estimated using the Cavalieri principle on images from a CBCT scan.
机译:>目的:立体学方法的Cavalieri原理被广泛用于估算结构的体积。最近在临床实践中,将这种方法用于日常用途已变得很普遍。卡瓦列利原理提供了独立于观察者的定量和无偏量估计。在本研究中,测试了使用Cavalieri原理估计锥形束CT(CBCT)扫描中的绵羊下颌骨缺损的功效。>方法:在4个绵羊下颌骨上创建了24种不同尺寸的缺损。在创建缺陷之前,使用石膏模型确定缺陷的外部边界。进行了缺陷的CBCT扫描。在冠状平面内重建扫描,并获得0.2 mm厚度的切片,间隔为0.2 mm和0.4 mm。使用Cavalieri原理估算每个缺陷的体积。使用轻质有机硅创建模型以估计每个缺陷的实际体积。使用比重瓶将它们浸入水中,并根据阿基米德原理获得实际体积。使用Wilcoxon符号秩检验比较了缺陷的实际数量和估计数量。>结果:结果表明,Cavalieri估计的数量与缺陷的实际数量没有差异(P> 0.05)。>结论:我们得出的结论是,可以使用Cavalieri原理在CBCT扫描的图像上准确估计下颌骨缺损的数量。

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