Age Estimation by Cranial Suture Using Postmortem Computed Tomography Images Among Malaysian

Öz

Introduction: In the forensic context, cranial sutures are valuable in the determination of age at death. Purpose: This study was conducted to review the Meindl and Lovejoy’s (ML) age estimation method in cranial suture from post-mortem computed tomography (PMCT) Digital Imaging and Communications in Medicine (DICOM) images among the Malaysian population. Material and Methods: About 106 scanned cases by PMCT between year 2015 and 2018 at the institute were analysed upon fulfilling the inclusion and exclusion criteria. The estimated age was formulated by the ML scoring method. The total scores from combinations of seven different suture areas were analysed for correlation with age and its regression formula was applied for cross-validation study with actual age in terms of bias and inaccuracy. Results: The sex and race contribute no measurable bias towards the age prediction. There was significant correlation between the total scores of cranial suture closure pattern and age. Results showed that the ML scoring method was useful for age estimation, in which 62.3% of cases were accurately estimated within standard of estimation error (SEE) range as well as the ML reference age range. There was a relatively good association between cranial suture closure pattern and age using the vault system by the ML method on PMCT DICOM images of the crania.

Anahtar Kelimeler

• Cranial Sutures
• Forensic Anthropology
• Meindl and Lovejoy
• PMCT
• Age Estimation

Malezyalılar Arasında Postmortem Bilgisayarlı Tomografi Görüntüleri Kullanılarak Kranial Sütür ile Yaş Tahmini

Öz

Giriş: Adli bağlamda, kranial sütürler ölüm yaşının belirlenmesinde değerlidir. Amaç: Bu çalışma, Malezya popülasyonunda post-mortem bilgisayarlı tomografi (PMBT) Dijital Görüntüleme ve Tıpta İletişim ("Digital Imaging and Communications in Medicine"-DICOM) görüntülerinden kranial sütürde Meindl ve Lovejoy'un (ML) yaş tahmin yöntemini incelemek için yapılmıştır. Gereç ve Yöntem: Enstitüde 2015 ve 2018 yılları arasında PMBT tarafından taranan yaklaşık 106 vaka, dahil etme ve hariç tutma kriterlerini yerine getirdikten sonra analiz edildi. Tahmini yaş, ML puanlama yöntemiyle formüle edildi. Yedi farklı sütür alanının kombinasyonlarından elde edilen toplam puanlar, yaşla korelasyon için analiz edildi ve yanlılık ve yanlışlık açısından gerçek yaş ile çapraz doğrulama çalışması için regresyon formülü uygulandı. Sonuç: Cinsiyet ve ırk, yaş tahminine yönelik ölçülebilir bir önyargıya katkıda bulunmaz. Kranial sütür kapanma paterni toplam puanları ile yaş arasında anlamlı bir ilişki vardı. Sonuçlar, ML puanlama yönteminin, vakaların %62,3'ünün standart tahmin hatası (SEE) aralığının yanı sıra ML referans yaş aralığı içinde doğru bir şekilde tahmin edildiği yaş tahmini için yararlı olduğunu göstermiştir. Kafatasının PMBT DICOM görüntülerinde ML yöntemiyle tonoz sistemi kullanılarak kraniyal sütür kapanma paterni ile yaş arasında anlamlı bir ilişki olduğu sonucuna varıldı.

Anahtar Kelimeler

• Kranial Sütürler
• Adli Antropoloji
• Meindl ve Lovejoy
• PMCT
• Yaş Tahmini

Kaynakça

1. Reference1 Fumiko C, Yohsuke M, Ayumi M. Age estimation by multidetector CT images of the sagittal suture. Int J Leg Med 2013;127:1005-11.
2. Reference2 Khandare SV, Bhise SS, Shinde AB. Age estimation from cranial sutures: CT scan study. Indian J Basic Appl Med Res 2014;3:203–11.
3. Reference3 Laura D, Luigi C, Al Ozonoff. A preliminary study of the relationship between obliteration of cranial sutures and age at time of death. Biol Sys Open Access 2016;5:1–3.
4. Reference4 William FM, Sumit G, Pratima, J. Morphological study of vault suture & its correlation with age in central Rajasthan. Nat J Med Res 2014;4:19–22.
5. Reference5 Meindl RS, Lovejoy CO. Ectocranial suture closure: A revised method for the determination of skeletal age at death based on the lateralanterior sutures. Am J Phys Anthropol 1985;68:57–66.
6. Reference6 Stephen PN, Carlos JZ. A test of Meindl & Lovejoy’s method of estimating adult age at death from cranial suture closure. University of Indianapolis Archeology and Forensics Laboratory, 2005.
7. Reference7 Millard AB. Age assessment from cranial suture closure (PhD Thesis). Graduate Council of Texas State University, San Marcos, 2011.
8. Reference8 Sittiporn R, Sukon P, Karnda M. Age estimation approaches using cranial suture closure: A validation study on a Thai population. J Forensic Leg Med 2018;53:79–86.

9. Reference9 Vijay K, Swapnil SA, Binay KB. Fusion of skull vault sutures in relation to age: A cross sectional postmortem study done in 3rd, 4th & 5th decades of life. J Forensic Res 2012;3:1–3.
10. Reference10 Imran S, Santosh K, Gyan PG. Determination of age by studying radiological fusion of cranial sutures and sternum in living persons between the fourth and seventh decade. J Med Sci Clin Res 2017;5:15428–34.
11. Reference11 Pardeep S, Oberoi SS, Gorea RK. Age estimation in old individuals by CT scan of skull. J Indian Acad Forensic Med 2014;26:10–13.
12. Reference12 Zanzrukiya K, Prajapati P, Govekar G. A cross sectional study of cranial suture closure by CT scan with reference to age: A prospective study. Int Res Public Med Sci 2015;1:57-63.
13. Reference13 Ruengdit S, Prasitwattanaseree S, Mekjaidee K. Age estimation approaches using cranial suture closure: A validation study on a Thai population. J Forensic Leg Med 2018;53:79–86.
14. Reference14 Gocha TP, Ingvoldstad ME, Kolatorowicz A. Testing the applicability of six macroscopic skeletal aging techniques on a modern Southeast Asian sample. Forensic Sci Int 2015;249:318-e1.
15. Reference15 Wolff K, Vas Z, Sótonyi P. Skeletal age estimation in Hungarian population of known age and sex. Forensic Sci Int 2012;223:374-e1.
16. Reference16 Galera V, Ubelaker DH, Hayek LA. Comparison of macroscopic cranial methods of age estimation applied to skeletons from the Terry collection. J Forensic Sci 1998;43:933–939.
17. Reference17 Boldsen JL, Milner GR, Konigsberg LW. Transition analysis: A new method for estimating age from skeletons. In: Hoppa RD, Vaupel JW eds. Paleodemography: Age distribution from skeletal samples. New York: Cambridge University Press, 2002: 73–106.