Abdinian Mehrdad, Ghaiour Marzieh
Associate Professor, Dental Implant Research Center, Department of Oral and Maxillofacial Radiology, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran.
Postgraduate Student, Department of Pediatric Dentistry, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran.
J Dent (Tehran). 2018 Sep;15(5):283-293.
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.
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).
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.
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.
本研究旨在评估锥形束计算机断层扫描(CBCT)不同滤过设置和层厚在检测咬合面龋方面的诊断准确性。
选取100颗牙齿用于这项离体实验研究。由两名观察者在全景视图和横断面视图下,使用不同的层厚和滤过设置对牙齿的CBCT图像进行评估并评分。采用配对t检验、重复测量方差分析(ANOVA)以及最小显著差异(LSD)检验,将数据与组织学金标准进行比较。采用受试者操作特征(ROC)分析来确定每层厚和滤过设置的诊断准确性(P<0.05)。
横断面视图中龋病真阳性检测的平均得分低于全景视图(P<0.05)。重复测量方差分析显示,横断面视图不同层厚下真阳性检测均值存在显著差异,但在全景视图中仅5mm层厚与其他层厚之间存在显著差异。在所有视图中,增加层厚会降低龋病检测的准确性。重复测量方差分析显示不同滤过设置之间存在显著差异;在所有视图中,增加滤过会提高龋病检测的准确性。
增加CBCT图像的滤过可提高咬合面龋病检测的准确性;然而,增加层厚会导致诊断准确性降低。