Literature DB >> 24657979

The use of maxillary sinus dimensions in gender determination: a thin-slice multidetector computed tomography assisted morphometric study.

Oguzhan Ekizoglu1, Ercan Inci, Elif Hocaoglu, Ibrahim Sayin, Fatma Tulin Kayhan, Ismail Ozgur Can.   

Abstract

Gender determination is an important step in identification. For gender determination, anthropometric evaluation is one of the main forensic evaluations. In the present study, morphometric analysis of maxillary sinuses was performed to determine gender. For morphometric analysis, coronal and axial paranasal sinus computed tomography (CT) scan with 1-mm slice thickness was used. For this study, 140 subjects (70 women and 70 men) were enrolled (age ranged between 18 and 63). The size of each subject's maxillary sinuses was measured in anteroposterior, transverse, cephalocaudal, and volume directions. In each measurement, the size of the maxillary sinus is significantly small in female gender (P < 0.001). When discrimination analysis was performed, the accuracy rate was detected as 80% for women and 74.3% for men with an overall rate of 77.15%. With the use of 1-mm slice thickness CT, morphometric analysis of maxillary sinuses will be helpful for gender determination.

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Year:  2014        PMID: 24657979     DOI: 10.1097/SCS.0000000000000734

Source DB:  PubMed          Journal:  J Craniofac Surg        ISSN: 1049-2275            Impact factor:   1.046


  9 in total

1.  Sexual Dimorphism of Maxillary Sinus: A Morphometric Analysis using Cone Beam Computed Tomography.

Authors:  Ayeesha Urooge; Bharati A Patil
Journal:  J Clin Diagn Res       Date:  2017-03-01

2.  Investigation of maxillary sinus volume relationships with nasal septal deviation, concha bullosa, and impacted or missing teeth using cone-beam computed tomography.

Authors:  Fahrettin Kalabalık; Elif Tarım Ertaş
Journal:  Oral Radiol       Date:  2018-11-24       Impact factor: 1.852

3.  Sex determination with morphological characteristics of the skull by using 3D modeling techniques in computerized tomography.

Authors:  Ayse Kurtulus Dereli; Volkan Zeybek; Ergin Sagtas; Hande Senol; Hakan Abdullah Ozgul; Kemalettin Acar
Journal:  Forensic Sci Med Pathol       Date:  2018-09-19       Impact factor: 2.007

Review 4.  Reliability of gender determination from paranasal sinuses and its application in forensic identification-a systematic review and meta-analysis.

Authors:  Sridhar M; Anjana Bagewadi; Vasanti Lagali-Jirge; Lokesh Kumar S; Arun Panwar; Vaishali Keluskar
Journal:  Forensic Sci Med Pathol       Date:  2022-10-06       Impact factor: 2.456

5.  Determination of sexual dimorphism of maxillary sinus using cone-beam computed tomography in a rural population of western Maharashtra - A retrospective, cross-sectional study.

Authors:  Anuja A Deshpande; Anita D Munde; Sunil S Mishra; Kedar D Kawsankar; Ruchira V Sawade; Baviskar Mandar
Journal:  J Family Med Prim Care       Date:  2022-03-18

6.  Development and validation of a new formula for sex estimation based on multislice computed tomographic measurements of maxillary and frontal sinuses among Brazilian adults.

Authors:  Diego Santiago de Mendonça; Lúcio Mitsuo Kurita; Francisco Samuel Rodrigues Carvalho; Fabrício Mesquita Tuji; Paulo Goberlânio de Barros Silva; Tácio Pinheiro Bezerra; Andréa Silvia Walter de Aguiar; Fábio Wildson Gurgel Costa
Journal:  Dentomaxillofac Radiol       Date:  2021-03-18       Impact factor: 3.525

7.  Sex estimation from sternal measurements using multidetector computed tomography.

Authors:  Oguzhan Ekizoglu; Elif Hocaoglu; Ercan Inci; Mustafa Gokhan Bilgili; Dilek Solmaz; Irem Erdil; Ismail Ozgur Can
Journal:  Medicine (Baltimore)       Date:  2014-12       Impact factor: 1.889

8.  3D Evaluation of Maxillary Sinus Using Computed Tomography: A Sexual Dimorphic Study.

Authors:  Balaji Babu Bangi; Uday Ginjupally; Lakshmi Kavitha Nadendla; Bhavana Vadla
Journal:  Int J Dent       Date:  2017-04-04

Review 9.  Pediatric paranasal sinuses-Development, growth, pathology, & functional endoscopic sinus surgery.

Authors:  Sophie Lee; Justin Fernandez; S Ali Mirjalili; Joshua Kirkpatrick
Journal:  Clin Anat       Date:  2022-04-26       Impact factor: 2.409

  9 in total

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