Literature DB >> 32279240

Are coding systems of frontal sinuses anatomically reliable? A study of correlation among morphological and metrical features.

Daniele Gibelli1, Michaela Cellina2, Stefano Gibelli3, Antonio Giancarlo Oliva2, Giovanni Termine3, Chiarella Sforza4.   

Abstract

Frontal sinuses are of special interest for personal identification thanks to their high variability. A common procedure for comparing ante-mortem and post-mortem material is based on coding systems classifying frontal sinuses according to their morphological and metrical characteristics. However, the calculation of possible combinations is performed on the hypothesis that all the classified features are independent one from each other. This study aims at analysing the correlation among morphological and metrical characteristics of frontal sinuses. Two hundred CT scans of patients equally divided between males and females were segmented through the ITK-SNAP software. Number of accessory septations, scalloping and supra-orbital cells, side asymmetry and superiority, breadth, height, length and volume were extracted from the frontal sinuses of each subject. A possible relationship among morphological and metrical features was analysed through Pearson's correlation test, Mann-Whitney test or chi-square test according to the type of compared data (p < 0.05). In general, a positive correlation was found for all comparisons among metrical measurements (breadth, height, depth and volume) and number of septations, scalloping and supra-orbital cells (p < 0.05), but not between the number of scalloping and supra-orbital cells. In addition, side of asymmetry was positively related with side of superiority of the upper profile of frontal sinuses (p < 0.05). This study proved that morphological and metrical characteristics of frontal sinuses are strictly related one with each other: therefore, the coding systems based on these features should be applied with caution for personal identification, as the number of possible combinations is lower than reported by literature.

Entities:  

Keywords:  3D segmentation; CT scan; Forensic anatomy; Frontal sinus; Personal identification

Mesh:

Year:  2020        PMID: 32279240     DOI: 10.1007/s00414-020-02293-1

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  16 in total

1.  User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability.

Authors:  Paul A Yushkevich; Joseph Piven; Heather Cody Hazlett; Rachel Gimpel Smith; Sean Ho; James C Gee; Guido Gerig
Journal:  Neuroimage       Date:  2006-03-20       Impact factor: 6.556

2.  A new digital method for the objective comparison of frontal sinuses for identification.

Authors:  Mary Cox; Matthew Malcolm; Scott I Fairgrieve
Journal:  J Forensic Sci       Date:  2009-05-26       Impact factor: 1.832

Review 3.  Identification by frontal sinus pattern in forensic anthropology.

Authors:  G Quatrehomme; P Fronty; M Sapanet; G Grévin; P Bailet; A Ollier
Journal:  Forensic Sci Int       Date:  1996-12-02       Impact factor: 2.395

4.  Classification system of frontal sinus patterns by radiography. Its application to identification of unknown skeletal remains.

Authors:  M Yoshino; S Miyasaka; H Sato; S Seta
Journal:  Forensic Sci Int       Date:  1987-08       Impact factor: 2.395

5.  Identification of the fragmentary, burned remains of two U.S. journalists seven years after their disappearance in Guatemala.

Authors:  D W Owsley
Journal:  J Forensic Sci       Date:  1993-11       Impact factor: 1.832

6.  Frontal sinus parameters in computed tomography and sex determination.

Authors:  Mitra Akhlaghi; Khadijeh Bakhtavar; Jhale Moarefdoost; Artin Kamali; Shahram Rafeifar
Journal:  Leg Med (Tokyo)       Date:  2016-01-19       Impact factor: 1.376

7.  The nasal septum deviation index (NSDI) based on CBCT data.

Authors:  Marina Codari; Matteo Zago; Giulia A Guidugli; Valentina Pucciarelli; Gianluca M Tartaglia; Francesco Ottaviani; Stefano Righini; Chiarella Sforza
Journal:  Dentomaxillofac Radiol       Date:  2015-12-21       Impact factor: 2.419

8.  Automatic frontal sinus recognition in computed tomography images for person identification.

Authors:  Luis A de Souza; Aparecido N Marana; Silke A T Weber
Journal:  Forensic Sci Int       Date:  2018-03-23       Impact factor: 2.395

Review 9.  Contributions of forensic anthropology to positive scientific identification: a critical Review.

Authors:  Douglas H Ubelaker; Austin Shamlou; Amanda Kunkle
Journal:  Forensic Sci Res       Date:  2018-10-08

10.  Importance of frontal sinus radiographs for human identification.

Authors:  Rhonan Ferreira da Silva; Rodrigo Naves Pinto; Geovane Miranda Ferreira; Eduardo Daruge Júnior
Journal:  Braz J Otorhinolaryngol       Date:  2008 Sep-Oct
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  2 in total

1.  Morphological analysis of three-dimensionally reconstructed frontal sinuses from Chinese Han population using computed tomography.

Authors:  Huan Zhao; Yuan Li; Hui Xue; Zhen Hua Deng; Wei Bo Liang; Lin Zhang
Journal:  Int J Legal Med       Date:  2020-10-17       Impact factor: 2.686

2.  Computer-aided superimposition of the frontal sinus via 3D reconstruction for comparative forensic identification.

Authors:  Yuan Li; Chong Xu; Dong Yu; Tu Xiong; Huan Zhao; Hui Xue; Wei Bo Liang; Zhen Hua Deng; Lin Zhang
Journal:  Int J Legal Med       Date:  2021-04-22       Impact factor: 2.686

  2 in total

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