An osteometric and 3D analysis of the atlanto-occipital joint: An initial screening method to exclude crania and atlases in commingled remains

被引:12
作者
Cappella, Annalisa [1 ,2 ]
Affatato, Luciana [3 ]
Gibelli, Daniele [1 ]
Mazzarelli, Debora [3 ]
Zago, Matteo [4 ]
Dolci, Claudia [1 ]
Sforza, Chiarella [1 ]
Cattaneo, Cristina [3 ]
机构
[1] Univ Milan, Dipartimento Sci Biomed Salute, Milan, Italy
[2] IRCCS Policlin San Donato, UO Lab Morfol Umana Applicata, San Donato Milanese, MI, Italy
[3] Univ Milan, Lab Antropol & Odontol Forense, Sez Med Legale, Dipartimento Sci Biomed Salute, Milan, Italy
[4] Politecn Milan, Dipartimento Meccan, Milan, Italy
来源
AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY | 2022年 / 177卷 / 03期
关键词
3D analysis; anatomical variability; Atlanto-occipital joint; commingled remains; osteometrics; COMPUTED-TOMOGRAPHY; SKELETAL ELEMENTS; INDIVIDUALS; RELIABILITY; NUMBER; AREA;
D O I
10.1002/ajpa.24437
中图分类号
Q98 [人类学];
学科分类号
030303 ;
摘要
Objectives The anatomical features of the atlanto-occipital joint can be potentially useful in re-associating or excluding crania to atlases in commingled remains. This study investigated whether linear measurements and the 3-dimensional (3D) surface of occipital condyles and articular facets of atlases can represent valid insights for this purpose. Methods The variations among eight corresponding linear distances were analyzed in a sample of 150 individuals through six supervised machine learning techniques attempting to develop classifiers able to identify elements belonging to the same individual. Furthermore, a 3D analysis was conducted on the articular surfaces through superimpositions of 3D models of corresponding and non-corresponding crania and atlases obtained by using respectively stereophotogrammetry and laser scanning. This analysis investigated differences in terms of point-to-point distances (Root Mean Square, RMS) of superimposed 3D surfaces. Results None of the six machine learning techniques were able to correctly detect a satisfying percentage of correspondent pairs in the overall sample by using the linear variables. The 3D analysis of the articular surfaces found RMS values over 0.53 mm only for superimposed non-corresponding surfaces, which sets a threshold value to identify 32% of incorrect pairs. Discussion The re-association of cranium to atlas proved to be challenging and hardly possible when considering only metric variables. However, the 3D geometry of the articular surfaces represents a valid variable for this purpose and 3D analyses pave the way for an initial exclusion of incorrect re-associations, thus should not be considered as a re-association method per se, but as an exclusionary screening technique.
引用
收藏
页码:439 / 453
页数:15
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