Comparison of Five Cone Beam Computed Tomography Systems for the Detection of Vertical Root Fractures

被引:146
作者
Hassan, Bassam
Metska, Maria Elissavet [2 ]
Ozok, Ahmet Rifat [2 ]
van der Stelt, Paul [1 ]
Wesselink, Paul Rudolf [2 ]
机构
[1] Acad Ctr Dent Amsterdam, Dept Oral & Maxillofacial Radiol, NL-1066 EA Amsterdam, Netherlands
[2] Acad Ctr Dent Amsterdam, Dept Cariol Endodontol Pedodontol, NL-1066 EA Amsterdam, Netherlands
关键词
Cone beam computed tomography scan; diagnosis; root canal filling; vertical root fracture; IMAGE QUALITY; RADIOGRAPHIC FEATURES; CT; TEETH; DIAGNOSIS; CBCT; SCANNERS; DENSITY; NUMBER; MSCT;
D O I
10.1016/j.joen.2009.09.013
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
Introduction: This study compared the accuracy of cone beam computed tomography (CBCT) scans made by five different systems in detecting vertical root fractures (VRFs). It also assessed the influence of the presence of root canal filling (RCF), CBCT slice orientation selection, and the type of tooth (premolar/molar) on detection accuracy. Methods: Eighty endodontically prepared teeth were divided into four groups and placed in dry mandibles. The teeth in groups Fr-F and Fr-NF were artificially fractured; those in groups control-F and control-NF were not. Groups Fr-F and control-F were root filled. CBCT scans were made using five different commercial CBCT systems. Two observers evaluated images in axial, coronal, and sagittal reconstruction planes. Results: There was a significant difference in detection accuracy among the five systems (p = 0.00001). The presence of RCF did not influence sensitivity (p = 0.16), but it reduced specificity (p = 0.003). Axial slices were significantly more accurate than sagittal and coronal slices (p = 0.0001) in detecting VRF in all systems. Significantly more VRFs were detected among molars than premolars (p = 0.0001). Conclusions: RCF presence reduced specificity in all systems (p = 0.003) but did not influence accuracy (p = 0.79) except in one system (p = 0.012). Axial slices were the most accurate in detecting VRFs (p = 0.0001). (J Endod 2010;36:126-129)
引用
收藏
页码:126 / 129
页数:4
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