锥形束计算机断层成像滤过性和层厚对牙合龋检测的影响:离体研究。

Mehrdad Abdinian, Marzieh Ghaiour
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引用次数: 0

摘要

目的:评价锥形束ct (cone-beam computed tomography, CBCT)不同滤过度和层厚对牙合龋的诊断准确性。材料与方法:选择100颗牙齿进行离体实验研究。采用不同的切片厚度和滤镜,由两名观察者在全景视图和横截面视图上对牙齿的CBCT图像进行评估和评分。采用配对t检验、重复测量方差分析(ANOVA)和最小显著性差异(LSD)检验与组织学金标准进行比较。采用受试者工作特征(Receiver operating characteristic, ROC)分析确定各层厚度及滤过度的诊断准确率(结果:横切面真牙检出的平均得分低于全景面真牙检出的平均得分)。结论:增加CBCT图像滤过度可提高牙合龋检出的准确率;然而,增加切片厚度会导致较低的诊断准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Effect of Filtration and Slice Thickness of Cone-Beam Computed Tomography Images on Occlusal Caries Detection: An Ex Vivo Study.

Effect of Filtration and Slice Thickness of Cone-Beam Computed Tomography Images on Occlusal Caries Detection: An Ex Vivo Study.

Effect of Filtration and Slice Thickness of Cone-Beam Computed Tomography Images on Occlusal Caries Detection: An Ex Vivo Study.

Effect of Filtration and Slice Thickness of Cone-Beam Computed Tomography Images on Occlusal Caries Detection: An Ex Vivo Study.

Objectives: The aim of this study was to evaluate the diagnostic accuracy of different filtrations and slice thicknesses of cone-beam computed tomography (CBCT) in the detection of occlusal caries.

Materials and methods: One-hundred teeth were selected for this ex-vivo experimental study. The CBCT images of the teeth were evaluated and scored by two observers in panoramic and cross-sectional views using different slice thicknesses and filtrations. Paired t-test, repeated-measures analysis of variance (ANOVA), and the least significant difference (LSD) test were used to compare the data with the histological gold standard. Receiver operating characteristic (ROC) analysis was used to determine the diagnostic accuracy of each slice thickness and filtration (P<0.05).

Results: The mean score of true caries detection in cross-sectional views was lower than that in panoramic views (P<0.05). Repeated-measures ANOVA showed a significant difference in the mean of true detections in different thicknesses of cross-sectional views, but this difference was significant only between 5 mm thickness and other thicknesses in panoramic views. On all the views, increasing the thickness decreased the accuracy of caries detection. Repeated-measures ANOVA showed a significant difference between different filtrations; on all the views, increasing the filtration increased the accuracy of caries detection.

Conclusions: An increase of filtration of CBCT images increases the accuracy of occlusal caries detection; however, an increase in slice thickness results in a lower diagnostic accuracy.

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