Baltacıoĝlu İsmail H, Eren Hakan, Yavuz Yasemin, Kamburoğlu Kıvanç
1 Ankara University, Faculty of Dentistry, Department of Restorative Dentistry, Ankara, Turkey.
2 Ankara University, Faculty of Dentistry, Department of Dentomaxillofacial Radiology, Ankara, Turkey.
Dentomaxillofac Radiol. 2016;45(6):20160099. doi: 10.1259/dmfr.20160099. Epub 2016 Jul 4.
To assess the in vitro diagnostic ability of CBCT images using seven different display types in the detection of recurrent caries.
Our study comprised 128 extracted human premolar and molar teeth. 8 groups each containing 16 teeth were obtained as follows: (1) Black Class I (Occlusal) amalgam filling without caries; (2) Black Class I (Occlusal) composite filling without caries; (3) Black Class II (Proximal) amalgam filling without caries; (4) Black Class II (Proximal) composite filling without caries; (5) Black Class I (Occlusal) amalgam filling with caries; (6) Black Class I (Occlusal) composite filling with caries; (7) Black Class II (Proximal) amalgam filling with caries; and (8) Black Class II (Proximal) composite filling with caries. Teeth were imaged using 100 × 90 mm field of view at three different voxel sizes of a CBCT unit (Planmeca ProMax(®) 3D ProFace™; Planmeca, Helsinki, Finland). CBCT TIFF images were opened and viewed using custom-designed software for computers on different display types. Intra- and interobserver agreements were calculated. The highest area under the receiver operating characteristic curve (Az) values for each image type, observer, reading and restoration were compared using z-tests against Az = 0.5. The significance level was set at p = 0.05.
We found poor and moderate agreements. In general, Az values were found when software and medical diagnostic monitor were utilized. For Observer 2, Az values were statistically significantly higher when software was used on medical monitor [p = 0.036, p = 0.015 and p = 0.002, for normal-resolution mode (0.200 mm(3) voxel size), high-resolution mode (0.150 mm(3) voxel size) and low-resolution mode (0.400 mm(3) voxel size), respectively]. No statistically significant differences were found among other display types for all modes (p > 0.05). In general, no difference was found among 3 different voxel sizes (p > 0.05). In general, higher Az values were obtained for composite restorations than for amalgam restorations for all observers. For Observer 1, Az values for composite restorations were statistically significantly higher than those of amalgam restorations for MacBook and iPhone (Apple Inc., Cupertino, CA) assessments (p = 0.002 and p = 0.048, respectively).
Higher Az values were observed with medical monitors when used with dedicated software compared to other display types which performed similarly in the diagnosis of recurrent caries under restorations. In addition, observers performed better in detection of recurrent caries when assessing composite restorations than amalgams.
评估使用七种不同显示类型的锥形束计算机断层扫描(CBCT)图像在检测继发龋方面的体外诊断能力。
我们的研究包括128颗拔除的人类前磨牙和磨牙。如下获得8组,每组包含16颗牙齿:(1)无龋的黑色I类(咬合面)银汞合金充填物;(2)无龋的黑色I类(咬合面)复合树脂充填物;(3)无龋的黑色II类(邻面)银汞合金充填物;(4)无龋的黑色II类(邻面)复合树脂充填物;(5)有龋的黑色I类(咬合面)银汞合金充填物;(6)有龋的黑色I类(咬合面)复合树脂充填物;(7)有龋的黑色II类(邻面)银汞合金充填物;以及(8)有龋的黑色II类(邻面)复合树脂充填物。使用CBCT设备(普兰梅卡ProMax(®) 3D ProFace™;芬兰赫尔辛基的普兰梅卡公司)在三种不同体素大小下,以100×90 mm视野对牙齿进行成像。使用定制设计的计算机软件在不同显示类型上打开并查看CBCT TIFF图像。计算观察者内和观察者间的一致性。使用z检验将每种图像类型、观察者、读数和修复体的受试者操作特征曲线下的最高面积(Az)值与Az = 0.5进行比较。显著性水平设定为p = 0.05。
我们发现一致性较差和中等。总体而言,当使用软件和医学诊断显示器时发现了Az值。对于观察者2,在医学显示器上使用软件时,Az值在统计学上显著更高[分别对于正常分辨率模式(0.200 mm³体素大小)、高分辨率模式(0.150 mm³体素大小)和低分辨率模式(0.400 mm³体素大小),p = 0.036、p = 0.015和p = 0.002]。对于所有模式,在其他显示类型之间未发现统计学上的显著差异(p > 0.05)。总体而言,在三种不同体素大小之间未发现差异(p > 0.05)。总体而言,对于所有观察者,复合树脂修复体的Az值高于银汞合金修复体。对于观察者1,在MacBook和iPhone(苹果公司,加利福尼亚州库比蒂诺)评估中,复合树脂修复体的Az值在统计学上显著高于银汞合金修复体(分别为p = 0.002和p = 0.048)。
与其他显示类型相比,医学显示器与专用软件一起使用时观察到更高的Az值,其他显示类型在修复体下继发龋的诊断中表现相似。此外,观察者在评估复合树脂修复体时比银汞合金修复体在检测继发龋方面表现更好。