Mariya Ebrakhim, Denis Moiseev, Valery Strelnikov, Alaa Salloum, Ekaterina Faustova, Aleksandr Ermolaev, Yulianna Enina, Ellina Velichko, Yuriy Vasil'ev
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Statistical characteristics of samples and testing of hypotheses using statistical criteria were performed using Microsoft Excel. <b>Results</b>: we found that when manually selecting the reference and comparison areas for areas without signs of pathological changes in bone tissue, the average standard deviation was 0.058, and the coefficient of variation was 0.055 ± 0.011%, which makes the choice of the jaw angle as a reference more preferable. The average relative bone density of the assessed defective areas to the jaw angle was 0.64 ± 0.11, and the average relative bone density of the areas without pathology to the jaw angle was 1.052 ± 0.058. <b>Conclusions</b>: a research protocol was developed and justified using the ImageJ software package, which establishes a strict procedure for quantitative assessment of relative bone density based on the results of digital panoramic radiography. 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引用次数: 0
摘要
背景:本研究的目的是基于数字全景x线片的分析,建立一种方便、简单、可靠的评估牙科骨组织相对密度的方法。方法:采用ImageJ Version 1.54i软件对正体层析成像的平均灰度值进行测量。为了估计相对骨密度,使用了选择感兴趣区域(ROI)、计算选择面积和统计选择区域的函数。使用Microsoft Excel进行样本统计特征和统计标准假设检验。结果:我们发现,对于骨组织无病理变化迹象的区域,人工选择参照区域和比较区域时,平均标准差为0.058,变异系数为0.055±0.011%,选择颌角作为参照区域更为可取。缺损区相对颌骨角的平均相对骨密度为0.64±0.11,正常区相对颌骨角的平均相对骨密度为1.052±0.058。结论:使用ImageJ软件包制定并验证了研究方案,该方案建立了严格的基于数字全景x线摄影结果的相对骨密度定量评估程序。该方案可用于监测骨组织的状况后,各种类型的牙科治疗随着时间的推移。
A New Method for the Digital Assessment of the Relative Density of Bone Tissue in Dentistry Using the ImageJ Software Package.
Backgroud: The aim of this study was to create an accessible, simple and reliable method for assessing the relative density of bone tissue in dentistry based on the analysis of digital panoramic radiographs. Methods: Measurement of average gray values on orthopantomograms was carried out using ImageJ Version 1.54i software. To estimate the relative bone density, functions for selecting regions of interest (ROI), calculating the area of selection, and statistics of the selected area were used. Statistical characteristics of samples and testing of hypotheses using statistical criteria were performed using Microsoft Excel. Results: we found that when manually selecting the reference and comparison areas for areas without signs of pathological changes in bone tissue, the average standard deviation was 0.058, and the coefficient of variation was 0.055 ± 0.011%, which makes the choice of the jaw angle as a reference more preferable. The average relative bone density of the assessed defective areas to the jaw angle was 0.64 ± 0.11, and the average relative bone density of the areas without pathology to the jaw angle was 1.052 ± 0.058. Conclusions: a research protocol was developed and justified using the ImageJ software package, which establishes a strict procedure for quantitative assessment of relative bone density based on the results of digital panoramic radiography. The proposed protocol can be used to monitor the condition of bone tissue after all types of dental treatment over time.