Prediction of nasal morphology in facial reconstruction: Validation and recalibration of the Rynn method.


Journal

Legal medicine (Tokyo, Japan)
ISSN: 1873-4162
Titre abrégé: Leg Med (Tokyo)
Pays: Ireland
ID NLM: 100889186

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 19 02 2019
revised: 04 07 2019
accepted: 14 07 2019
pubmed: 22 7 2019
medline: 14 2 2020
entrez: 22 7 2019
Statut: ppublish

Résumé

Prediction of the nose from the skull remains an important issue in forensic facial approximation. In 2010, Rynn et al. published a method of predicting nose projection from the skull. With this method, three craniometric measurements (x, y, z) are taken, and these are then used in regression formulae to estimate the nasal dimensions. The purpose of this study was to examine and test the accuracy of the Rynn et al. method and if necessary to adapt the formulae for this population. A sample of 90 CT scans of Turkish adults was used in the study. The actual and predicted dimensions were compared using t-test. The age of the individuals ranged from 20 to 40 years by sex. The descriptive statistics and correlations were calculated, and the actual and predicted measurements were compared. The differences between the actual and predicted values were statistically significant (p < 0.01), with -1 mm for males and -1.5 mm for females. Validation accuracies ranged from 76 to 92% in females and 72 to 82% in males. Recalibration equation accuracies ranged from 88 to 100% in females and 90 to 100% in males. The results showed that the recalibration of the Rynn et al. method and its formulae gave satisfactory results with less error and can be employed in facial approximation cases.

Sections du résumé

BACKGROUND BACKGROUND
Prediction of the nose from the skull remains an important issue in forensic facial approximation. In 2010, Rynn et al. published a method of predicting nose projection from the skull. With this method, three craniometric measurements (x, y, z) are taken, and these are then used in regression formulae to estimate the nasal dimensions.
AIM OBJECTIVE
The purpose of this study was to examine and test the accuracy of the Rynn et al. method and if necessary to adapt the formulae for this population.
SUBJECTS AND METHODS METHODS
A sample of 90 CT scans of Turkish adults was used in the study. The actual and predicted dimensions were compared using t-test. The age of the individuals ranged from 20 to 40 years by sex.
RESULTS RESULTS
The descriptive statistics and correlations were calculated, and the actual and predicted measurements were compared. The differences between the actual and predicted values were statistically significant (p < 0.01), with -1 mm for males and -1.5 mm for females. Validation accuracies ranged from 76 to 92% in females and 72 to 82% in males. Recalibration equation accuracies ranged from 88 to 100% in females and 90 to 100% in males.
CONCLUSION CONCLUSIONS
The results showed that the recalibration of the Rynn et al. method and its formulae gave satisfactory results with less error and can be employed in facial approximation cases.

Identifiants

pubmed: 31326670
pii: S1344-6223(19)30061-6
doi: 10.1016/j.legalmed.2019.07.002
pii:
doi:

Types de publication

Journal Article Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

26-31

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Ozgur Bulut (O)

Paleoanthropology, Senckenberg Centre for Human Evolution and Paleoenvironment, Eberhard Karls University of Tübingen, Germany. Electronic address: ozgur.bulut@yahoo.com.

Ching-Yiu Jessica Liu (CJ)

Face Lab, Liverpool John Moores University, Liverpool, United Kingdom.

Safa Gurcan (S)

Department of Biostatistics, Faulty of Veterinary Medicine, Ankara University, Turkey.

Baki Hekimoglu (B)

Radiology Department, Yildirim Beyazit Training and Research Hospital, Ankara, Turkey.

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Classifications MeSH