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利用融合的 CBCT 图像对髁突骨吸收进行定量评估:根据体积和厚度减少区分和诊断三个不同组。

Quantitative assessment of condylar bone resorption using fused CBCT images: differentiating and diagnosing three distinct groups based on volume and thickness decrease.

机构信息

Department of Oral and Maxillofacial Radiology, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Device & Beijing Key Laboratory of Digital Stomatology & Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health & NMPA Key Laboratory for Dental Materials, Beijing, China.

Center for Temporomandibular Disorders and Orofacial Pain, Peking University School and Hospital of Stomatology, Beijing, China.

出版信息

Dentomaxillofac Radiol. 2023 Nov;52(8):20230337. doi: 10.1259/dmfr.20230337. Epub 2023 Oct 23.

Abstract

OBJECTIVES

To investigate the accuracy of fused CBCT images in diagnosing three distinct groups of bone changes characterized by volume and thickness decrease in patients with temporomandibular joint osteoarthrosis (TMJ OA) during follow-up.

METHODS

In this retrospective study, 109 patients (176 TMJs) with TMJ OA were included. Two consecutive CBCT images for the same patient were registered and fused. Then, three image sets were established: without fusion, fused 2D image, and fused 3D image. Three residents randomly and independently evaluated whether there was condylar resorption with the three image sets respectively. The samples diagnosed as condylar resorption by the expert panel were divided into three subgroups according to the volume and thickness decrease calculated after segmentation. The inter- and intraobserver agreement, receiver operating characteristic (ROC), and area under the curve (AUC) evaluated the diagnostic capability for different subgroups.

RESULTS

For the volume decrease more than 50 mm and thickness decrease more than 1 mm groups, the AUC values for fused image sets were higher than those without fusion ( < 0.01). For the volume decrease within 50 mm and thickness decrease within 1 mm groups, the AUC values for fused 2D image sets were higher than the image sets without fusion ( < 0.05), but there was no significant difference between the fused 3D image sets and the image sets without fusion ( = 0.48 for volume decrease, = 0.37 for thickness decrease).

CONCLUSIONS

The fused images can improve the diagnostic accuracy and repeatability for the samples with at least 50 mm volume decrease or 1 mm thickness decrease compared with the image groups without fusion.

摘要

目的

探究在随访过程中,融合锥形束 CT(CBCT)图像在诊断颞下颌关节骨关节炎(TMJ OA)患者三种不同的以体积和厚度减小为特征的骨变化方面的准确性。

方法

在这项回顾性研究中,纳入了 109 例(176 个 TMJ)TMJ OA 患者。对同一患者的连续两次 CBCT 图像进行配准和融合。然后,建立了三组图像:无融合、融合二维图像和融合三维图像。三位观察者随机且独立地分别使用这三组图像评估是否存在髁突吸收。将专家小组诊断为髁突吸收的样本根据分割后计算的体积和厚度减小分为三组。评估不同亚组的组内和组间一致性、受试者工作特征(ROC)曲线和曲线下面积(AUC)。

结果

对于体积减少超过 50mm 和厚度减少超过 1mm 的组,融合图像组的 AUC 值高于无融合图像组(<0.01)。对于体积减少在 50mm 以内且厚度减少在 1mm 以内的组,融合二维图像组的 AUC 值高于无融合图像组(<0.05),但融合三维图像组与无融合图像组之间无显著差异(体积减少时为=0.48,厚度减少时为=0.37)。

结论

与无融合图像组相比,融合图像可以提高至少 50mm 体积减少或 1mm 厚度减少样本的诊断准确性和可重复性。

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本文引用的文献

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Application of fused image in detecting abnormalities of temporomandibular joint.融合影像在检测颞下颌关节异常中的应用。
Dentomaxillofac Radiol. 2019 Mar;48(3):20180129. doi: 10.1259/dmfr.20180129. Epub 2018 Dec 12.

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