Dutch population specific sex estimation formulae using the proximal femur
| Autor: | Roelof-Jan Oostra, A.E. van der Merwe, H.H. de Boer, Kyra E. Stull, R.R. van Rijn, Kerri L. Colman, M.C.L. Janssen |
|---|---|
| Přispěvatelé: | Other Research, Radiology and Nuclear Medicine, ACS - Amsterdam Cardiovascular Sciences, Medical Biology, ARD - Amsterdam Reproduction and Development |
| Rok vydání: | 2018 |
| Předmět: |
Adult
Male Population Logistic regression 01 natural sciences Pathology and Forensic Medicine Young Adult 03 medical and health sciences 0302 clinical medicine Statistics Humans Femur 030216 legal & forensic medicine education Reliability (statistics) Netherlands Mathematics education.field_of_study Proximal femur 010401 analytical chemistry Reproducibility of Results Forensic anthropology Sex Determination by Skeleton 0104 chemical sciences Logistic Models Sex estimation Multicollinearity Forensic Anthropology Female Metric (unit) Tomography X-Ray Computed Law |
| Zdroj: | Forensic science international, 286, 268.e1-268.e8. Elsevier Ireland Ltd |
| ISSN: | 0379-0738 |
| DOI: | 10.1016/j.forsciint.2017.12.029 |
| Popis: | Sex estimation techniques are frequently applied in forensic anthropological analyses of unidentified human skeletal remains. While morphological sex estimation methods are able to endure population differences, the classification accuracy of metric sex estimation methods are population-specific. No metric sex estimation method currently exists for the Dutch population. The purpose of this study is to create Dutch population specific sex estimation formulae by means of osteometric analyses of the proximal femur. Since the Netherlands lacks a representative contemporary skeletal reference population, 2D plane reconstructions, derived from clinical computed tomography (CT) data, were used as an alternative source for a representative reference sample. The first part of this study assesses the intra- and inter-observer error, or reliability, of twelve measurements of the proximal femur. The technical error of measurement (TEM) and relative TEM (%TEM) were calculated using 26 dry adult femora. In addition, the agreement, or accuracy, between the dry bone and CT-based measurements was determined by percent agreement. Only reliable and accurate measurements were retained for the logistic regression sex estimation formulae; a training set (n = 86) was used to create the models while an independent testing set (n = 28) was used to validate the models. Due to high levels of multicollinearity, only single variable models were created. Cross-validated classification accuracies ranged from 86% to 92%. The high cross-validated classification accuracies indicate that the developed formulae can contribute to the biological profile and specifically in sex estimation of unidentified human skeletal remains in the Netherlands. Furthermore, the results indicate that clinical CT data can be a valuable alternative source of data when representative skeletal collections are unavailable. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect