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自动 3D 密集表型分析可可靠、准确地量化人类下颌骨的形态。

Automatic 3D dense phenotyping provides reliable and accurate shape quantification of the human mandible.

机构信息

OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven, Leuven, Belgium.

Department of Oral and Maxillofacial Surgery, University Hospitals Leuven, Kapucijnenvoer 33, 3000, Leuven, Belgium.

出版信息

Sci Rep. 2021 Apr 20;11(1):8532. doi: 10.1038/s41598-021-88095-w.

Abstract

Automatic craniomaxillofacial (CMF) three dimensional (3D) dense phenotyping promises quantification of the complete CMF shape compared to the limiting use of sparse landmarks in classical phenotyping. This study assesses the accuracy and reliability of this new approach on the human mandible. Classic and automatic phenotyping techniques were applied on 30 unaltered and 20 operated human mandibles. Seven observers indicated 26 anatomical landmarks on each mandible three times. All mandibles were subjected to three rounds of automatic phenotyping using Meshmonk. The toolbox performed non-rigid surface registration of a template mandibular mesh consisting of 17,415 quasi landmarks on each target mandible and the quasi landmarks corresponding to the 26 anatomical locations of interest were identified. Repeated-measures reliability was assessed using root mean square (RMS) distances of repeated landmark indications to their centroid. Automatic phenotyping showed very low RMS distances confirming excellent repeated-measures reliability. The average Euclidean distance between manual and corresponding automatic landmarks was 1.40 mm for the unaltered and 1.76 mm for the operated sample. Centroid sizes from the automatic and manual shape configurations were highly similar with intraclass correlation coefficients (ICC) of > 0.99. Reproducibility coefficients for centroid size were < 2 mm, accounting for < 1% of the total variability of the centroid size of the mandibles in this sample. ICC's for the multivariate set of 325 interlandmark distances were all > 0.90 indicating again high similarity between shapes quantified by classic or automatic phenotyping. Combined, these findings established high accuracy and repeated-measures reliability of the automatic approach. 3D dense CMF phenotyping of the human mandible using the Meshmonk toolbox introduces a novel improvement in quantifying CMF shape.

摘要

自动颅面(CMF)三维(3D)密集表型有望与经典表型中稀疏标志点的有限应用相比,对完整的 CMF 形状进行量化。本研究评估了该新技术在人类下颌骨上的准确性和可靠性。对 30 个未经改变的和 20 个经手术的人类下颌骨应用了经典和自动表型技术。七位观察者在每个下颌骨上三次标记了 26 个解剖标志点。所有下颌骨都经过 Meshmonk 三次自动表型处理。该工具盒对上模板下颌骨网格进行非刚性表面配准,每个目标下颌骨上的模板下颌骨网格由 17415 个准标志点组成,并确定了与 26 个感兴趣的解剖位置相对应的准标志点。采用重复测量的均方根(RMS)距离来评估反复标志点指示与其质心之间的可靠性。自动表型显示非常低的 RMS 距离,这证实了其具有极好的可重复性。未经改变和经手术的样本中,手动和相应自动标志点之间的平均欧几里得距离分别为 1.40 毫米和 1.76 毫米。自动和手动形状配置的质心大小非常相似,内类相关系数(ICC)大于 0.99。质心大小的重复性系数小于 2 毫米,占本样本中质心大小总变异性的小于 1%。325 个标志点间距离的多元集的 ICC 均大于 0.90,再次表明经典或自动表型定量的形状之间具有高度相似性。综上所述,这些发现确立了自动方法的高精度和可重复性。使用 Meshmonk 工具盒对人类下颌骨进行 3D 密集 CMF 表型,为量化 CMF 形状引入了新的改进。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10f2/8058070/fb7adabfe645/41598_2021_88095_Fig1_HTML.jpg

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