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生长下颌骨的三维统计形状模型。

A three-dimensional statistical shape model of the growing mandible.

机构信息

Department of Oral and Maxillofacial Surgery, Amsterdam UMC (Location AMC) and Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam, Amsterdam, The Netherlands.

出版信息

Sci Rep. 2021 Sep 22;11(1):18843. doi: 10.1038/s41598-021-98421-x.

DOI:10.1038/s41598-021-98421-x
PMID:34552162
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8458295/
Abstract

Mandibular growth and morphology are important topics in the field of oral and maxillofacial surgery. For diagnostic and planning purposes, a normative database or statistical shape model of the growing mandible can be of great benefit. A collection of 874 cadaveric children's mandibles with dental age between 1 and 12 years old were digitized using computed tomography scanning and reconstructed to three-dimensional models. Point correspondence was achieved using iterative closest point and coherent point drift algorithms. Principal component analysis (PCA) was applied to find the main modes of variation in the data set. The average mandible was presented, along with the first ten PCA modes. The first mode explained 78% of the total variance; combining the first ten modes accumulated to 95% of the total variance. The first mode was strongly correlated with age and hence, with natural growth. This is the largest study on three-dimensional mandibular shape and development conducted thus far. The main limitation is that the samples lack information such as gender and cause of death. Clinical application of the model first requires validation with contemporary samples.

摘要

下颌生长和形态是口腔颌面外科学领域的重要课题。为了诊断和规划目的,生长下颌的规范数据库或统计形状模型可能会非常有帮助。本研究使用计算机断层扫描对 874 具具有 1 至 12 岁牙龄的儿童尸体下颌骨进行数字化处理,并将其重建为三维模型。使用迭代最近点和相干点漂移算法实现点对应。应用主成分分析(PCA)寻找数据集的主要变化模式。展示了平均下颌骨以及前 10 个 PCA 模式。第一模式解释了总方差的 78%;前 10 个模式的组合累积到总方差的 95%。第一模式与年龄密切相关,因此与自然生长有关。这是迄今为止进行的最大的关于三维下颌形状和发育的研究。主要限制是样本缺乏性别和死因等信息。模型的临床应用首先需要用当代样本进行验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cb9/8458295/979d723d04c5/41598_2021_98421_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cb9/8458295/58d897f2871f/41598_2021_98421_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cb9/8458295/8d0079fedeac/41598_2021_98421_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cb9/8458295/1c5c72e9a981/41598_2021_98421_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cb9/8458295/78bbe7be3966/41598_2021_98421_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cb9/8458295/979d723d04c5/41598_2021_98421_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cb9/8458295/58d897f2871f/41598_2021_98421_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cb9/8458295/8d0079fedeac/41598_2021_98421_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cb9/8458295/f91a2b640fb6/41598_2021_98421_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cb9/8458295/536544f1509d/41598_2021_98421_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cb9/8458295/1c5c72e9a981/41598_2021_98421_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cb9/8458295/78bbe7be3966/41598_2021_98421_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cb9/8458295/979d723d04c5/41598_2021_98421_Fig7_HTML.jpg

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