Literature DB >> 29800867

Skeletal dimensions as predictors for the shape of the nose in a South African sample: A cone-beam computed tomography (CBCT) study.

A F Ridel1, F Demeter2, J Liebenberg3, E N L'Abbé4, D Vandermeulen5, A C Oettlé6.   

Abstract

The profile of the nose is an important feature for facial approximations. Although several manual and semi-automated prediction guidelines exist for estimating the shape of the nose, the reliability and applicability of these methods to South Africans groups are unknown. The aim of this study was to predict the displacements of capulometric landmarks from hard-tissue planes to facilitate nasal soft-tissue reconstruction in a South African sample. Cone beam computed tomography (CBCT) scans of 120 adult South Africans were selected from the Oral and Dental Hospital, University of Pretoria, South Africa. Measurements involving craniometric and capulometric landmarks of the nose were obtained as plane-to-plane distances. Correlation coefficients between hard- and soft-tissue measurements were determined, and regression equations computed to assist in the prediction of the most probable shape and size of the nose. All hard- and soft-tissue measurements appeared significantly different between groups, except for the distance between the pronasale and nasion in the transverse plane and for the distance between the alare and the nasion in the coronal plane. The nasal height, nasal bone length and the nasal bone projection were significant predictors of the pronasale, subnasale and alare positions. More precisely, the nasal height and the nasal bone length were significant predictors of the pronasale position in both groups. Nasal bone projection was only useful for predicting shape in white South Africans. The variation in the skeletal predictors of the external shape of the nose noted between black and white South Africans and the results of the cross-validation testing emphasize the need for population specific guidelines.
Copyright © 2018 Elsevier B.V. All rights reserved.

Keywords:  Capulometric landmarks; Craniometric landmarks; Facial approximation; Human variability; Plane-to-plane distances; Regression equations

Mesh:

Year:  2018        PMID: 29800867     DOI: 10.1016/j.forsciint.2018.05.011

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  4 in total

1.  Three-dimensional prediction of nose morphology in Chinese young adults: a pilot study combining cone-beam computed tomography and 3dMD photogrammetry system.

Authors:  Guang Chu; Jia-Min Zhao; Meng-Qi Han; Qing-Nan Mou; Ling-Ling Ji; Hong Zhou; Teng Chen; Shao-Yi Du; Yu-Cheng Guo
Journal:  Int J Legal Med       Date:  2020-07-09       Impact factor: 2.686

2.  Lip morphology estimation models based on three-dimensional images in a modern adult population from China.

Authors:  Jia-Min Zhao; Ling-Ling Ji; Meng-Qi Han; Qing-Nan Mou; Guang Chu; Teng Chen; Shao-Yi Du; Yu-Xia Hou; Yu-Cheng Guo
Journal:  Int J Legal Med       Date:  2021-03-24       Impact factor: 2.686

Review 3.  An overview of the latest developments in facial imaging.

Authors:  Carl N Stephan; Jodi M Caple; Pierre Guyomarc'h; Peter Claes
Journal:  Forensic Sci Res       Date:  2018-10-29

Review 4.  Methods of Analysis of the Nasal Profile: A Systematic Review with Meta-analysis.

Authors:  Agnieszka Jankowska; Joanna Janiszewska-Olszowska; Maciej Jedliński; Katarzyna Grocholewicz
Journal:  Biomed Res Int       Date:  2021-03-15       Impact factor: 3.411

  4 in total

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