University of Oulu

Petteri Oura, Niina Korpinen, Jaakko Niinimäki, Jaro Karppinen, Markku Niskanen, Juho-Antti Junno, Estimation of stature from dimensions of the fourth lumbar vertebra in contemporary middle-aged Finns, Forensic Science International, Volume 292, 2018, Pages 71-77, ISSN 0379-0738, https://doi.org/10.1016/j.forsciint.2018.09.001

Estimation of stature from dimensions of the fourth lumbar vertebra in contemporary middle-aged Finns

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Author: Oura, Petteri1,2,3; Korpinen, Niina4; Niinimäki, Jaakko1,3;
Organizations: 1Medical Research Center Oulu, Faculty of Medicine, University of Oulu and Oulu University Hospital, PO Box 5000, FI-90014 Oulu, Finland
2Center for Life Course Health Research, Faculty of Medicine, University of Oulu, PO Box 5000, FI-90014 Oulu, Finland
3Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, PO Box 5000, FI-90014 Oulu, Finland
4Department of Archaeology, Faculty of Humanities, University of Oulu, PO Box 5000, FI-90014 Oulu, Finland
5Cancer and Translational Medicine Research Unit, Faculty of Medicine, University of Oulu, PO Box 5000, FI-90014 Oulu, Finland
Format: article
Version: accepted version
Access: embargoed
Persistent link: http://urn.fi/urn:nbn:fi-fe2019060719475
Language: English
Published: Elsevier, 2018
Publish Date: 2019-09-25
Description:

Abstract

Background: Accurate stature estimation plays an essential role in the identification of unknown deceased individuals. For cases in which conventional methods of stature estimation are not applicable, we studied the stature estimation potential of the fourth lumbar vertebra (L4) among a large living sample of representative contemporary Finns. We also generated stature estimation equations for the middle-aged Finnish population.

Material and methods: Our study population comprised the Northern Finland Birth Cohort 1966 for which lumbar magnetic resonance imaging (MRI) scans and objective measurements of stature were available from midlife (n = 1358). After screening the MRI scans for vertebral pathologies, we measured the maximum and minimum widths, depths and heights of the L4 body with high precision and reliability. We then calculated their sums and means together with approximations of vertebral cross-sectional area and volume. By constructing simple and multiple linear regression models around the L4 parameters, we generated equations for stature prediction, and investigated their accuracy on the basis of the adjusted R squared (R2) and standard error of the estimate (SEE) values of the models.

Results: The multiple linear regression models of the mean width, depth and height of L4 yielded the highest prediction accuracies with the lowest prediction errors (for the entire sample, R2 = 0.621 and SEE = 5.635 cm; for men, R2 = 0.306 and SEE = 5.125 cm; for women, R2 = 0.367 and SEE = 4.640 cm).

Conclusions: When conventional methods for estimating stature are not applicable, the lumbar vertebrae may be utilized for this purpose. Relatively accurate stature estimates can be given on the basis of only L4 dimensions.

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Series: Forensic science international
ISSN: 0379-0738
ISSN-E: 1872-6283
ISSN-L: 0379-0738
Volume: 292
Pages: 71 - 77
DOI: 10.1016/j.forsciint.2018.09.001
OADOI: https://oadoi.org/10.1016/j.forsciint.2018.09.001
Type of Publication: A1 Journal article – refereed
Field of Science: 615 History and archaeology
3126 Surgery, anesthesiology, intensive care, radiology
Subjects:
L4
Funding: NFBC1966 received financial support from University of Oulu (Grant no. 24000692), Oulu University Hospital)Grant no. 24301140), European Regional Development Fund (Grant no. 539/2010 A31592).
Copyright information: © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
  https://creativecommons.org/licenses/by-nc-nd/4.0/