Back to Search
Start Over
Comparison of accuracy of the maxillary sinus area and dimensions for sex estimation lateral cephalograms of Iranian samples
- Source :
- Journal of Forensic Radiology and Imaging. 17:18-22
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Background Sex estimation is a critical issue in forensic medicine. Since anthropologic evaluations on radiographs can contribute to more accurate sex estimation, this study measured the length and height, as well as area, of the maxillary sinus on lateral cephalometric radiography. Methods and materials In this descriptive-analytic study, 80 images obtained from 20 to 40-year-old individuals (40 males and 40 female) were selected. The height and anterior-posterior length of the maxillary sinus was performed using CATIA V5R20 (a software package for image analysis). Maxillary sinus area was determined using discriminant analysis in AutoCAD. Findings The mean maxillary sinus height was 40.48 mm in males and 38.7 mm in females. The mean maxillary sinus length was 40.31 mm in males and 37.31 mm in females. The area of the maxillary sinus was 1201.2 mm2 in males and 1043.4 mm2 in females. Two discriminant analysis models, one based on the height and length of the maxillary sinus and the other based on sinus area) were developed for sex estimation. The area under the receiver operating characteristic (ROC) curve was used for quality assessment of the fitted models and determination of their prediction ability. Conclusion The mean height, length and area of the maxillary sinus were significantly larger in males than in females (P
- Subjects :
- Orthodontics
Receiver operating characteristic
Maxillary sinus
Quality assessment
business.industry
Radiography
Lateral cephalograms
Linear discriminant analysis
Pathology and Forensic Medicine
medicine.anatomical_structure
Sex estimation
medicine
Radiology, Nuclear Medicine and imaging
business
Sinus (anatomy)
Subjects
Details
- ISSN :
- 22124780
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- Journal of Forensic Radiology and Imaging
- Accession number :
- edsair.doi...........74fd53a0c4a6e4046d77fca7085b3212
- Full Text :
- https://doi.org/10.1016/j.jofri.2019.05.003