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Dergiler / Anatomy / 2020 / Cilt: 14 - Sayı: 1

Evaluation of sternal morphology according to age and sex with multidetector computerized tomography

Güneş BOLATLI
Nadire ÜNVER DOĞAN
Mustafa KOPLAY
Zeliha FAZLIOGULLARI
Ahmet Kagan KARABULUT
Dergi
Anatomy
Sayfa
29–38
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

These data taken from a large series may also contribute to evaluation of variations in sternal morphology.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Objectives: The sternum is located in the middle of the anterior wall of the thoracic cage.
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Temel Bulgular & Veri:Methods: This study was performed retrospectively on 700 CT images. 3D volume rendering images of sternum were created from the axial CT images at a 1 mm slice thickness.
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Sonuç & Katkı:These data taken from a large series may also contribute to evaluation of variations in sternal morphology.
🔬Tür:Laboratuvar & Saha Deneyi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Özet

Objectives: The sternum is located in the middle of the anterior wall of the thoracic cage. It consists of three parts; manubrium, body (corpus) and xiphoid process. Since it is an easy bone to scan, it can be used for age and sex determination in forensic medicine. The aim of the study was to investigate the characteristics of the sternum according to age and gender. Methods: This study was performed retrospectively on 700 CT images. 3D volume rendering images of sternum were created from the axial CT images at a 1 mm slice thickness. Results: There were significant differences in sternum measurements according to age and sex. The xiphoid process was identified under three different types. Ossification between the manubrium and sternum body showed significant differences according to age and sex. Conclusion: Data collected from a single bone is important for age and sex prediction especially in forensic medicine. These data taken from a large series may also contribute to evaluation of variations in sternal morphology.

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Bu Makaleye Atıf Yap

BOLATLI, G., DOĞAN, N. Ü., KOPLAY, M., FAZLIOGULLARI, Z., KARABULUT, A. K. (2020). Evaluation of sternal morphology according to age and sex with multidetector computerized tomography. Anatomy, Cilt: 14 - Sayı: 1, 29–38. https://ajindex.com/articles/210669

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Kaynakça (14)

  1. Stark P, Jaramillo D. CT of the sternum. AJR Am J Roentgenol 1986;147:72–7
  2. Weaver AA, Schoell SL, Nguyen CM, Lynch SK, Stitzel JD. Morphometric analysis of variation in the sternum with sex and age. J Morphol 2014;275:1284–99
  3. Franklin D, O’Higgins P, Oxnard CE, Dadour I. Determination of sex in south african blacks by discriminant function analysis of mandibular linear dimensions: a preliminary investigation using the zulu local population. Forensic Sci Med Pathol 2006;2:263–8
  4. Akhlaghi M, Moradi B, Hajibeygi M. Sex determination using anthropometric dimensions of the clavicle in Iranian population. J Forensic Leg Med 2012;19:381–5
  5. Akhlaghi M, Sheikhazadi A, Ebrahimnia A, Hedayati M, Nazparvar B, Saberi Anary SH. The value of radius bone in prediction of sex and height in the Iranian population. J Forensic Leg Med May 2012;19:219–22
  6. Saraf A, Kanchan T, Krishan K, Ateriya N, Setia P. Estimation of stature from sternum – exploring the quadratic models. J Forensic Leg Med 2018;58:9–13
  7. Yekeler E, Tunaci M, Tunaci A, Dursun M, Acunas G. Frequency of sternal variations and anomalies evaluated by MDCT. AJR Am J Roentgenol 2006;186:956–60
  8. Bayarogullari H, Yengil E, Davran R, Aglagul E, Karazincir S, Balci A. Evaluation of the postnatal development of the sternum and sternal variations using multidetector CT. Diagn Interv Radiol 2014;20:82–9
  9. Akin K, Kosehan D, Topcu A, Koktener A. Anatomic evaluation of the xiphoid process with 64-row multidetector computed tomography. Skeletal Radiol 2011;40:447–52
  10. Gayzik FS, Yu MM, Danelson KA, Slice DE, Stitzel JD. Quantification of age-related shape change of the human rib cage through geometric morphometrics. J Biomech 2008;41:1545–54
  11. Oner Z, Turan MK, Oner S, Secgin Y, Sahin B. Sex estimation using sternum part lenghts by means of artificial neural networks. Forensic Sci Int 2019;301:6–11
  12. Scheuer L. Application of osteology to forensic medicine. Clin Anat 2002;15:297–312
  13. Morgan O, Tidball-Binz M, vanAlphen D (eds). Management of dead bodies after disasters: a field manual for first responders. Washington, DC: Pan American Health Organization; 2006. [Internet]. Available from: https://www.icrc.org/en/doc/assets/files/ other/icrc_002_0880.pdf 14. Sidler M, Jackowski C, Dirnhofer R, Vock P, Thali M. Use of multislice computed tomography in disaster victim identification – advantages and limitations. Forensic Sci Int 2007;169:118–28
  14. Peleg S, Kallevag RP, Dar G, Steinberg