Literature DB >> 23692276

Pronasale position: an appraisal of two recently proposed methods for predicting nasal projection in facial reconstruction.

Pavla Zednikova Mala1.   

Abstract

This study examines two recently proposed methods for predicting nose projection from the skull, those developed by Stephan et al. (Am J Phys Anthropol 122, 2003, 240) and Rynn et al. (Forensic Sci Med Pathol 6, 2010, 20). A sample of 86 lateral head cephalograms of adult subjects from Central Europe was measured, and the actual and predicted dimensions were compared. Regarding nose projection (the anterior and vertical position of the pronasale), in general, the method of Rynn et al. (Forensic Sci Med Pathol 6, 2010, 20) was found to perform better and with less error variance than the method of Stephan et al. (Am J Phys Anthropol 122, 2003, 240), but the mean difference between the actual and predicted values did not exceed 2.2 mm (6.5% of the actual dimension) in most of the variables tested. The vertical dimensions of the nose were predictable with greater accuracy than the horizontal dimensions. Although the mean error of both methods is not great in practice and thus both methods could be considered to be "accurate," the real variance of error should not be overlooked.
© 2013 American Academy of Forensic Sciences.

Keywords:  accuracy test; facial approximation; facial reconstruction; forensic anthropology; forensic science; nose projection; soft tissue prediction

Mesh:

Year:  2013        PMID: 23692276     DOI: 10.1111/1556-4029.12128

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  2 in total

Review 1.  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

2.  Craniofacial anthropometric investigation of relationships between the nose and nasal aperture using 3D computed tomography of Korean subjects.

Authors:  Joon Yeol Ryu; Ki-Su Park; Min-Ji Kim; Ji-Su Yun; U-Young Lee; Sang-Seob Lee; Byung-Yoon Roh; Jeong-Uk Seo; Chang-Un Choi; Won-Joon Lee
Journal:  Sci Rep       Date:  2020-09-30       Impact factor: 4.379

  2 in total

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