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GAND classification and volumetric assessment of unilateral cleft lip and palate malformations using cone beam computed tomography

机译:锥束计算机断层扫描技术对单侧唇and裂畸形进行GAND分类和容积评估

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摘要

The aim of this study was to propose a classification for unilateral cleft lip and palate (UCLP) malformations based on cone beam computed tomography (CBCT) images, as well as to estimate the amount of bone necessary for grafting, and to evaluate the relationship of this volume with scores obtained using the classification. CBCT images of 33 subjects with UCLP were evaluated according to gap, arch, nasal, and dental parameters (GAND classification). Additionally, these defects were segmented and the amount of graft needed for alveolar bone grafting was estimated. The reproducibility of GAND classification was analyzed by weighted kappa test. The association of volume assessment with the classification (gap and nasal parameters) was verified using analysis of variance, while the intra-observer agreement was analyzed using the intra-class correlation coefficient. The intra-observer reproducibility of the classification ranged from 0.29 to 0.92 and the inter-observer agreement ranged from 0.29 to 0.91. There were no statistically significant values when evaluating the association of the volume with the classification (P > 0.05). The GAND classification is a novel system that allows the quick estimation of the extent and complexity of the cleft. It is not possible to estimate the amount of bone needed for alveolar bone grafting based on the classification; individualized surgical planning should be done for each patient specifically.
机译:这项研究的目的是基于锥束计算机断层扫描(CBCT)图像提出单侧唇left裂(UCLP)畸形的分类,以及估计移植所需的骨量,并评估其之间的关系。该卷具有使用分类获得的分数。根据间隙,足弓,鼻和牙齿参数(GAND分类)评估了33名UCLP受试者的CBCT图像。此外,将这些缺陷进行了细分,并估算了牙槽骨移植所需的移植物数量。 GAND分类的可重复性通过加权kappa检验进行了分析。使用方差分析验证了容量评估与分类(间隙和鼻参数)的关联,而使用类内相关系数分析了观察者内一致性。观察者内部分类的再现性范围为0.29至0.92,观察者间一致性的范围为0.29至0.91。在评估体积与分类的关联时,没有统计学上的显着性值(P> 0.05)。 GAND分类是一种新颖的系统,可以快速估计裂痕的程度和复杂性。无法根据分类来估算牙槽骨移植所需的骨量;应针对每个患者进行个性化的手术计划。

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