Department of Stomatology, Wuqing People Hospital, Tianjin, China.
Department of Endodontics, Hangzhou Stomatological Hospital, Hangzhou, Zhejiang, China.
BMC Oral Health. 2022 Mar 2;22(1):48. doi: 10.1186/s12903-022-02085-6.
Cracked teeth may cause various clinical symptoms depending on the extension depth of the crack and the subsequent bacterial infections. However, techniques to reliably determine the extension depths of cracks in teeth before treatment are lacking. The aim of this study was to develop a new technique based on contrast-enhanced cone beam computed tomography (CBCT) to improve the accuracy of crack depth evaluation in vitro.
We developed an in vitro artificial simulation model of cracked teeth. Pre-experimental CBCT (pre-CBCT), and micro-computed tomography (micro-CT) were first performed for all cracked teeth (n = 31). Contrast-enhanced CBCT was then performed by infiltrating the crack with ioversol under vacuum conditions. The sensitivities of pre-CBCT and contrast-enhanced CBCT for the diagnosis of cracked teeth were calculated. According to the K-means clusters, crack depths measured by micro-CT were changed into categorical variables. Bland-Altman plot and the intraclass correlation coefficient (ICC) were used to analyze the consistency of the crack depths between the pre-CBCT and contrast-enhanced CBCT, as well as the ICC between the contrast-enhanced CBCT and micro-CT. Receiver operating characteristic (ROC) curves were generated to assess the ability for predicting crack depth in the differential diagnosis using pre-CBCT and contrast-enhanced CBCT. Restricted cubic splines were also used to model the non-linear relationship between the crack depths of contrast-enhanced CBCT and micro-CT.
The sensitivities of pre-CBCT and contrast-enhanced CBCT were 48.4%, and 67.7%, respectively. The ICC value of crack depth as measured by pre-CBCT and contrast-enhanced CBCT was 0.847 (95% confidence interval [CI] 0.380-0.960; P < 0.001). The areas under ROC curves (AUC) of pre-CBCT and contrast-enhanced CBCT were different: the AUC of pre-CBCT was 0.958 (P = 0.000, 95% CI 0.843-1.074), and the AUC of contrast-enhanced CBCT was 0.979 (P = 0.000, 95% CI 0.921-1.037), and the difference was not statistically significant (Z = - 0.707, P = 0.480). The ICC value of crack depth as measured by contrast-enhanced CBCT and micro-CT was 0.753 (95% CI 0.248-0.911; P < 0.001).
Contrast-enhanced CBCT under vacuum conditions with a contrast medium can significantly improve the crack detection rate of cracked teeth; however, it cannot measure the crack depths accurately.
根据裂纹的延伸深度和随后的细菌感染情况,裂牙可能会引起各种临床症状。然而,目前缺乏可靠的技术来确定治疗前牙齿裂纹的延伸深度。本研究旨在开发一种基于对比增强锥形束 CT(CBCT)的新技术,以提高体外裂纹深度评估的准确性。
我们建立了裂牙的体外人工模拟模型。对所有裂牙(n=31)均行预实验性 CBCT(pre-CBCT)和微计算机断层扫描(micro-CT)检查。然后,在真空条件下用碘海醇对裂纹进行渗透,进行对比增强 CBCT 检查。计算 pre-CBCT 和对比增强 CBCT 对裂牙诊断的敏感性。根据 K-均值聚类,将 micro-CT 测量的裂纹深度转换为分类变量。采用 Bland-Altman 图和组内相关系数(ICC)分析 pre-CBCT 和对比增强 CBCT 之间裂纹深度的一致性,以及对比增强 CBCT 和 micro-CT 之间的 ICC。绘制受试者工作特征(ROC)曲线,以评估 pre-CBCT 和对比增强 CBCT 在鉴别诊断中预测裂纹深度的能力。还使用受限立方样条对对比增强 CBCT 和 micro-CT 之间的裂纹深度的非线性关系进行建模。
pre-CBCT 和对比增强 CBCT 的敏感性分别为 48.4%和 67.7%。pre-CBCT 和对比增强 CBCT 测量的裂纹深度的 ICC 值为 0.847(95%置信区间[CI]:0.380-0.960;P<0.001)。pre-CBCT 和对比增强 CBCT 的 ROC 曲线下面积(AUC)不同:pre-CBCT 的 AUC 为 0.958(P=0.000,95%CI:0.843-1.074),对比增强 CBCT 的 AUC 为 0.979(P=0.000,95%CI:0.921-1.037),差异无统计学意义(Z=-0.707,P=0.480)。对比增强 CBCT 和 micro-CT 测量的裂纹深度的 ICC 值为 0.753(95%CI:0.248-0.911;P<0.001)。
在真空条件下用对比剂进行对比增强 CBCT 可以显著提高裂牙的裂纹检出率;然而,它不能准确测量裂纹深度。