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Sex Estimation From Sternal Measurements Using Multidetector Computed Tomography
We aimed to show the utility and reliability of sternal morphometric analysis for sex estimation. Sex estimation is a very important step in forensic identification. Skeletal surveys are main methods for sex estimation studies. Morphometric analysis of sternum may provide high accuracy rated data in...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4602791/ https://www.ncbi.nlm.nih.gov/pubmed/25501090 http://dx.doi.org/10.1097/MD.0000000000000240 |
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author | Ekizoglu, Oguzhan Hocaoglu, Elif Inci, Ercan Bilgili, Mustafa Gokhan Solmaz, Dilek Erdil, Irem Can, Ismail Ozgur |
author_facet | Ekizoglu, Oguzhan Hocaoglu, Elif Inci, Ercan Bilgili, Mustafa Gokhan Solmaz, Dilek Erdil, Irem Can, Ismail Ozgur |
author_sort | Ekizoglu, Oguzhan |
collection | PubMed |
description | We aimed to show the utility and reliability of sternal morphometric analysis for sex estimation. Sex estimation is a very important step in forensic identification. Skeletal surveys are main methods for sex estimation studies. Morphometric analysis of sternum may provide high accuracy rated data in sex discrimination. In this study, morphometric analysis of sternum was evaluated in 1 mm chest computed tomography scans for sex estimation. Four hundred forty 3 subjects (202 female, 241 male, mean age: 44 ± 8.1 [distribution: 30–60 year old]) were included the study. Manubrium length (ML), mesosternum length (2L), Sternebra 1 (S1W), and Sternebra 3 (S3W) width were measured and also sternal index (SI) was calculated. Differences between genders were evaluated by student t-test. Predictive factors of sex were determined by discrimination analysis and receiver operating characteristic (ROC) analysis. Male sternal measurement values are significantly higher than females (P < 0.001) while SI is significantly low in males (P < 0.001). In discrimination analysis, MSL has high accuracy rate with 80.2% in females and 80.9% in males. MSL also has the best sensitivity (75.9%) and specificity (87.6%) values. Accuracy rates were above 80% in 3 stepwise discrimination analysis for both sexes. Stepwise 1 (ML, MSL, S1W, S3W) has the highest accuracy rate in stepwise discrimination analysis with 86.1% in females and 83.8% in males. Our study showed that morphometric computed tomography analysis of sternum might provide important information for sex estimation. |
format | Online Article Text |
id | pubmed-4602791 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-46027912015-10-27 Sex Estimation From Sternal Measurements Using Multidetector Computed Tomography Ekizoglu, Oguzhan Hocaoglu, Elif Inci, Ercan Bilgili, Mustafa Gokhan Solmaz, Dilek Erdil, Irem Can, Ismail Ozgur Medicine (Baltimore) 6800 We aimed to show the utility and reliability of sternal morphometric analysis for sex estimation. Sex estimation is a very important step in forensic identification. Skeletal surveys are main methods for sex estimation studies. Morphometric analysis of sternum may provide high accuracy rated data in sex discrimination. In this study, morphometric analysis of sternum was evaluated in 1 mm chest computed tomography scans for sex estimation. Four hundred forty 3 subjects (202 female, 241 male, mean age: 44 ± 8.1 [distribution: 30–60 year old]) were included the study. Manubrium length (ML), mesosternum length (2L), Sternebra 1 (S1W), and Sternebra 3 (S3W) width were measured and also sternal index (SI) was calculated. Differences between genders were evaluated by student t-test. Predictive factors of sex were determined by discrimination analysis and receiver operating characteristic (ROC) analysis. Male sternal measurement values are significantly higher than females (P < 0.001) while SI is significantly low in males (P < 0.001). In discrimination analysis, MSL has high accuracy rate with 80.2% in females and 80.9% in males. MSL also has the best sensitivity (75.9%) and specificity (87.6%) values. Accuracy rates were above 80% in 3 stepwise discrimination analysis for both sexes. Stepwise 1 (ML, MSL, S1W, S3W) has the highest accuracy rate in stepwise discrimination analysis with 86.1% in females and 83.8% in males. Our study showed that morphometric computed tomography analysis of sternum might provide important information for sex estimation. Wolters Kluwer Health 2014-12-12 /pmc/articles/PMC4602791/ /pubmed/25501090 http://dx.doi.org/10.1097/MD.0000000000000240 Text en Copyright © 2014 Wolters Kluwer Health | Lippincott Williams & Wilkins http://creativecommons.org/licenses/by-nd/4.0 This is an open access article distributed under the Creative Commons Attribution-NoDerivatives License 4.0, which allows for redistribution, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to the author. http://creativecommons.org/licenses/by-nd/4.0 |
spellingShingle | 6800 Ekizoglu, Oguzhan Hocaoglu, Elif Inci, Ercan Bilgili, Mustafa Gokhan Solmaz, Dilek Erdil, Irem Can, Ismail Ozgur Sex Estimation From Sternal Measurements Using Multidetector Computed Tomography |
title | Sex Estimation From Sternal Measurements Using Multidetector Computed Tomography |
title_full | Sex Estimation From Sternal Measurements Using Multidetector Computed Tomography |
title_fullStr | Sex Estimation From Sternal Measurements Using Multidetector Computed Tomography |
title_full_unstemmed | Sex Estimation From Sternal Measurements Using Multidetector Computed Tomography |
title_short | Sex Estimation From Sternal Measurements Using Multidetector Computed Tomography |
title_sort | sex estimation from sternal measurements using multidetector computed tomography |
topic | 6800 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4602791/ https://www.ncbi.nlm.nih.gov/pubmed/25501090 http://dx.doi.org/10.1097/MD.0000000000000240 |
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