Méndez-Manjón Irene, Haas Orion Luiz, Guijarro-Martínez Raquel, Belle de Oliveira Rogério, Valls-Ontañón Adaia, Hernández-Alfaro Federico
Department of Oral and Maxillofacial Surgery, Universitat Internacional de Catalunya, Sant Cugat del Vallès.
Institute of Maxillofacial Surgery. Teknon Medical Center, Barcelona, Spain.
J Craniofac Surg. 2019 Nov-Dec;30(8):2555-2559. doi: 10.1097/SCS.0000000000005781.
The objective was to validate a semi-automated segmentation method for 3-dimensional (3D) reconstruction of the mandibular condyle from cone beam computed tomography (CBCT) data and illustrate its application in volumetric analysis of the condyle.Ten CBCT datasets were used to validate the proposed semi-automatic method for 3D rendering of mandibular condyles. First, a standardized orientation protocol of the skull was applied. After defining the volume of interest, a grey-scale cut-off value was selected to allow an automatic reconstruction of the condyle's surface. Subsequently, condylar contour was optimized manually. The whole process was repeated twice by 2 independent investigators. Volumetric measurements of the condyle were used as a measure of conformity between both investigators. The reproducibility of condylar volume reconstruction was excellent for intra-examiner measurements (CV = 3.65%, intraclass correlation coefficient = 0.97) and good for inter-examiner measurements (CV = 7.15%, ICC = 0.89). The overall mean time required for the segmentation process was 6.31 + 2.78 minutes. The proposed protocol provides an accurate and reproducible tool for 3D reconstruction of the mandibular condyle using CBCT data. Its implementation will enable adequate follow-up of morphological changes in bone tissue with a Hounsfield unit-based imaging segmentation method.
目的是验证一种用于从锥形束计算机断层扫描（CBCT）数据三维（3D）重建下颌髁突的半自动分割方法，并说明其在髁突体积分析中的应用。使用10个CBCT数据集来验证所提出的下颌髁突3D渲染半自动方法。首先，应用标准化的颅骨定向方案。在定义感兴趣体积后，选择灰度截止值以自动重建髁突表面。随后，手动优化髁突轮廓。整个过程由2名独立研究人员重复两次。髁突体积测量用作两名研究人员之间一致性的度量。髁突体积重建的重复性对于检查者内测量非常好（CV = 3.65%，组内相关系数 = 0.97），对于检查者间测量良好（CV = 7.15%，ICC = 0.89）。分割过程所需的总体平均时间为6.31 + 2.78分钟。所提出的方案为使用CBCT数据进行下颌髁突的3D重建提供了一种准确且可重复的工具。其实施将能够使用基于亨氏单位的成像分割方法对骨组织的形态变化进行充分的随访。
