融合CBCT图像对髁突骨吸收的定量评估:根据体积和厚度的减少来区分和诊断三个不同的组。

IF 2.9 2区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE
Dento maxillo facial radiology Pub Date : 2023-11-01 Epub Date: 2023-10-23 DOI:10.1259/dmfr.20230337
Ji-Ling Feng, Ruo-Han Ma, Li-Li Sun, Jun-Ru Zhao, Yan-Ping Zhao, Gang Li
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引用次数: 0

摘要

目的:探讨融合CBCT图像在颞下颌关节骨关节病(TMJ OA)患者随访期间诊断以体积和厚度减少为特征的三组不同骨变化的准确性。方法:在本回顾性研究中,纳入109例TMJ OA患者(176例TMJ)。对同一患者的两个连续CBCT图像进行配准和融合。然后,建立了三个图像集:无融合图像、融合2D图像和融合3D图像。三名居民分别用三组图像随机独立评估是否存在髁突吸收。根据分割后计算出的体积和厚度减少,将专家组诊断为髁突吸收的样本分为三个亚组。观察者之间和观察者内部的一致性、受试者操作特征(ROC)和曲线下面积(AUC)评估了不同亚组的诊断能力。结果:对于体积减少超过50 mm3且厚度减小超过1 mm组,融合图像集的AUC值高于未融合图像集(p<0.01) mm3,厚度减小在1以内 mm组,融合后的2D图像集的AUC值高于未融合的图像集(p<0.05),但融合后的3D图像集与未融合图像集之间没有显著差异(体积减少p=0.48,厚度减少p=0.37)。结论:融合图像可以提高至少50个样本的诊断准确性和重复性 mm3体积减少或1 mm厚度与未融合的图像组相比减小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative assessment of condylar bone resorption using fused CBCT images: differentiating and diagnosing three distinct groups based on volume and thickness decrease.

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 mm3 and thickness decrease more than 1 mm groups, the AUC values for fused image sets were higher than those without fusion (p < 0.01). For the volume decrease within 50 mm3 and thickness decrease within 1 mm groups, the AUC values for fused 2D image sets were higher than the image sets without fusion (p < 0.05), but there was no significant difference between the fused 3D image sets and the image sets without fusion (p = 0.48 for volume decrease, p = 0.37 for thickness decrease).

Conclusions: The fused images can improve the diagnostic accuracy and repeatability for the samples with at least 50 mm3 volume decrease or 1 mm thickness decrease compared with the image groups without fusion.

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来源期刊
CiteScore
5.60
自引率
9.10%
发文量
65
审稿时长
4-8 weeks
期刊介绍: Dentomaxillofacial Radiology (DMFR) is the journal of the International Association of Dentomaxillofacial Radiology (IADMFR) and covers the closely related fields of oral radiology and head and neck imaging. Established in 1972, DMFR is a key resource keeping dentists, radiologists and clinicians and scientists with an interest in Head and Neck imaging abreast of important research and developments in oral and maxillofacial radiology. The DMFR editorial board features a panel of international experts including Editor-in-Chief Professor Ralf Schulze. Our editorial board provide their expertise and guidance in shaping the content and direction of the journal. Quick Facts: - 2015 Impact Factor - 1.919 - Receipt to first decision - average of 3 weeks - Acceptance to online publication - average of 3 weeks - Open access option - ISSN: 0250-832X - eISSN: 1476-542X
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