Objective computerised assessment of residual ridge resorption in the human maxilla and maxillary sinus pneumatisation
Objective computerised assessment of residual ridge resorption in the human maxilla and maxillary sinus pneumatisation
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DOI：
10.1007/s00784-020-03196-6
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发表时间：
2020-02-24
影响因子：
3.4
通讯作者：
Steiner, Timm
中科院分区：
文献类型：
--
作者：
Gerken, Ulrike;Esser, Felix;Steiner, Timm
目的 上颌牙槽嵴萎缩性吸收是一种并发症，使得种植康复变得至关重要。我们的目标是开发一种新颖的计算机辅助程序，用于准确定量评估上颌残余牙槽嵴吸收，包括上颌窦的气化，该程序超越了先前描述的方法，并将其应用于大型数据集。材料和方法 为了开发和完善该方法，我们使用 405 名患者的计算机断层扫描数据进行了回顾性分析，以生成颧上颌骨和上颌窦的分段三维模型。使用解剖标志和定向线或平面，所有模型自动对齐，随后生成横截面图像 (n = 2835)，从而能够对萎缩进行分类以及上颌窦体积和尾部延伸的量化。结果我们开发并实施了准确且可重复的工作流程，用于上颌体积图像的半自动分析。对大型定量数据集的综合统计分析揭示了上颌突高度和窦体积与萎缩类别、年龄和区域的各种相关性，并确定了患者组的推测趋势。结论 该方法成功地用于处理大型数据集，以对萎缩进行分类，测量牙槽高度参数，并量化上颌窦体积、底部体积和气化。
Objectives Atrophic resorption of the maxillary alveolar ridge is a complication that makes implantological rehabilitation critical. Our aim was to develop a novel computer aided procedure for the accurate quantitative assessment of maxillary residual ridge resorption including pneumatisation of the maxillary sinus that goes beyond previously described approaches and to apply it to a large dataset. Materials and methods To develop and refine the method, we performed a retrospective analysis using computed tomography data from 405 patients to generate segmented, three-dimensional models of zygomaticomaxillary bones and maxillary sinuses. Using anatomical landmarks and orientation lines or planes, all models were aligned automatically to subsequently generate cross-sectional images (n = 2835), enabling the classification of atrophy as well as the quantification of volumes and caudal extensions of the maxillary sinuses. Results We developed and implemented an accurate and reproducible workflow for the semi-automated analysis of volumetric maxillary images. Comprehensive statistical analysis of the large quantitative dataset revealed various correlations of maxillary process heights and sinus volumes with atrophy class, age and region and identified conjectural trends over the patient group. Conclusions The method was used successfully to process a large dataset to classify atrophy, to measure alveolar height parameters, and to quantify maxillary sinus volume, bottom volume and pneumatisation.