Komatsu K, Abe Y, Yoshioka T, Ishimura H, Ebihara A, Suda H
Department of Pulp Biology and Endodontics, Division of Oral Health Sciences, Medical and Dental Sciences Track, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
Dentomaxillofac Radiol. 2014;43(8):20140256. doi: 10.1259/dmfr.20140256. Epub 2014 Sep 23.
The purpose of this study was to evaluate the accuracy of diagnosing vertical root fractures (VRFs) by comparing the volume of bone defects in VRFs with those in non-VRFs on reconstructed three-dimensional (3D) models (TDMs) using CBCT.
32 maxillary pre-molars and anterior teeth with radiolucent areas were evaluated on pre-operative CBCT images. Of the 32 teeth, 16 had a fractured root (VRF group) and 16 had a non-fractured root (non-VRF group). The radiolucent area of each tooth was traced in each dimension [mesiodistal, buccolingual and horizontal (the apicoincisal aspect)] by two observers, and 3D images were reconstructed with the Amira(®) software (Visage Imaging Inc., Richmond, Australia). The volume, V, of the TDM was divided into the coronal side and the periapical side at the horizontal slice through the apical foramen, and v was defined as the volume of the coronal side. The values of v/V were calculated for all cases. The Mann-Whitney U test was used to compare values between the VRF group and the non-VRF group (p < 0.05). A receiver operating characteristic (ROC) curve was constructed to select the optimal cut-point.
There was a statistically significant difference in the value of v/V between the two groups (p < 0.05). With a cut-point derived from the ROC curve, and the sensitivity, specificity and accuracy of predicting the VRFs were 1.00, 0.75 and 0.88, respectively.
Lesions resulting from VRFs can be distinguished from those of non-VRFs on 3D CBCT images with a high degree of accuracy, based on their different 3D shapes.
本研究的目的是通过比较使用锥形束计算机断层扫描(CBCT)重建的三维(3D)模型(TDM)上垂直根折(VRF)与非VRF的骨缺损体积,评估诊断VRF的准确性。
对32颗上颌前磨牙和前牙的术前CBCT图像进行评估,这些牙齿均有透射区。32颗牙齿中,16颗有根折(VRF组),16颗无根折(非VRF组)。两名观察者在每个维度[近远中、颊舌向和水平(根尖切缘方向)]描绘每颗牙齿的透射区,并用Amira(®)软件(澳大利亚里士满的Visage Imaging公司)重建3D图像。通过根尖孔的水平切片将TDM的体积V分为冠方和根尖方,v定义为冠方的体积。计算所有病例的v/V值。采用Mann-Whitney U检验比较VRF组和非VRF组的值(p < 0.05)。构建受试者工作特征(ROC)曲线以选择最佳切点。
两组之间的v/V值存在统计学显著性差异(p < 0.05)。根据ROC曲线得出的切点,预测VRF的敏感性、特异性和准确性分别为1.00、0.75和0.88。
基于不同的3D形状,VRF导致的病变在3D CBCT图像上可与非VRF的病变高度准确地区分开来。