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Über die Körperhöhenbestimmung anhand von Zahn, Kieferbogen- und Gaumenmaßen


Gille, R; Ramsthaler, F; Thali, Michael J; Strunk, J; Birngruber, C G; Verhoff, M A (2017). Über die Körperhöhenbestimmung anhand von Zahn, Kieferbogen- und Gaumenmaßen. Archiv für Kriminologie, 239(1-2):45-56.

Abstract

After the discovery of skeletonized human remains, the estimation of stature is an important element of the so-called "biological profile". Typically, long bone lengths are used in regression formulas. If long bones are not available, predictions of stature cannot be made. Human skulls are often the subject of forensic osteological examination, sometimes even detached. Therefore, it seems reasonable to search for skull measurements that have a sufficiently good correlation to stature. The aim of the study presented was to measure odonto-stomatological parameters using post-mortem CT data to check whether the estimation of stature was possible on this basis. Three classic tooth dimensions (MD, BL, ZL), two diagonal tooth dimensions (MBDL, DBML) first described by Lund and MOrnstad in 1999, two tooth dimensions defined for the first time in this study (MKDO, DKMO), the mesiodistal index (MDS) and also the palatal arch dimensions (arch length, arch width, molar length and dental length) - each at maxilla and mandible - were digitally measured on a total of 799 teeth of 48 virtual 3-D-reconstructed skulls (33 males and 15 females). For most of the aforementioned measurements no statistically significant relation to stature was found. There were positive correlations by Pearson at a significance level of 99 % (2-sided) at three measurements: ZL 15, MKDO 14 and MKDO 15. Positive correlations by Pearson at a significance level of 95 % (2-sided) could be determined for eight measurements, but an applicable regression formula could not be calculated for any of the parameters. Despite a statistical correlation of a few teeth parameters with body length, they must be considered unsuitable for estimating stature.

Abstract

After the discovery of skeletonized human remains, the estimation of stature is an important element of the so-called "biological profile". Typically, long bone lengths are used in regression formulas. If long bones are not available, predictions of stature cannot be made. Human skulls are often the subject of forensic osteological examination, sometimes even detached. Therefore, it seems reasonable to search for skull measurements that have a sufficiently good correlation to stature. The aim of the study presented was to measure odonto-stomatological parameters using post-mortem CT data to check whether the estimation of stature was possible on this basis. Three classic tooth dimensions (MD, BL, ZL), two diagonal tooth dimensions (MBDL, DBML) first described by Lund and MOrnstad in 1999, two tooth dimensions defined for the first time in this study (MKDO, DKMO), the mesiodistal index (MDS) and also the palatal arch dimensions (arch length, arch width, molar length and dental length) - each at maxilla and mandible - were digitally measured on a total of 799 teeth of 48 virtual 3-D-reconstructed skulls (33 males and 15 females). For most of the aforementioned measurements no statistically significant relation to stature was found. There were positive correlations by Pearson at a significance level of 99 % (2-sided) at three measurements: ZL 15, MKDO 14 and MKDO 15. Positive correlations by Pearson at a significance level of 95 % (2-sided) could be determined for eight measurements, but an applicable regression formula could not be calculated for any of the parameters. Despite a statistical correlation of a few teeth parameters with body length, they must be considered unsuitable for estimating stature.

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Additional indexing

Other titles:Stature estimation from teeth and jaw
Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Legal Medicine
Dewey Decimal Classification:340 Law
610 Medicine & health
Language:German
Date:2017
Deposited On:07 Aug 2017 13:44
Last Modified:07 Aug 2017 13:44
Publisher:Verlag Schmidt-Romhild
ISSN:0003-9225
Related URLs:http://www.archivfuerkriminologie.de/ (Publisher)

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