Usability of first molar teeth measurements for age and sex estimation in cone-beam computed tomography images

Yıl 2021, , 576 - 587, 22.09.2021

Nazan Kocak Topbas , Alime Okkesim

https://doi.org/10.31020/mutftd.958620

Cited By: 1

Öz

Aim: The morphological changes in tooth structure due to aging gain importance in the adult period. These age-related changes can be used to determine age and sex. The aim of this study was to determine the usability of first molar tooth measurements obtained by cone beam computed tomography (CBCT) in estimating chronological age and sex in Turkish study group.
Materials and methods: Three-dimensional images of 332 patients older than 12 years of age with known chronological age and sex were evaluated by semi-automatic segmentation performed separately by two observers. Pulp volume and tooth volume were measured from maxillary or mandibular molar tooth in each patient. Simple linear regression analysis and discriminant function analysis were performed to estimate age and sex using the measurements. In addition, independent sample t-test was used to compare the measurements according to sex and tooth position.
Results: Sex was estimated by maxillary first molar volume ratio in 76.6% of women and 56.3% of men. Age estimation (AE) with pulp/tooth volume ratio (PTVR) gave more effective results in males and maxillary first molars.
Conclusions: In this study, it was found that maxillary first molar volume ratio gave more accurate results in males AE and in females’ sex estimation (SE).

Anahtar Kelimeler

Age determination by teeth, Cone beam computed tomography, Dental pulp volume, Molar teeth, Sex determination analysis

Destekleyen Kurum

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Proje Numarası

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Teşekkür

The authors report no actual or potential conflicts of interest. No institutional and financial support.

Konik ışınlı bilgisayarlı tomografi görüntülerinde yaş ve cinsiyet tahmini için birinci molar diş ölçümlerinin kullanılabilirliği

Öz

Amaç: Yaşlanmaya bağlı olarak diş yapısında meydana gelen morfolojik değişiklikler erişkin dönemde önem kazanmaktadır. Bu yaşa bağlı değişiklikler yaş ve cinsiyeti belirlemek için kullanılabilir. Konik ışınlı bilgisayarlı tomografi (KIBT) ile elde edilen birinci molar diş ölçümlerinin Türk çalışma grubunda kronolojik yaş ve cinsiyet tahmininde kullanılabilirliğini belirlemek bu çalışmanın amacıdır.
Gereç ve yöntem: Kronolojik yaşı ve cinsiyeti bilinen 12 yaşından büyük 332 hastanın KIBT görüntüleri iki gözlemci tarafından ayrı ayrı yapılan yarı otomatik bölümleme ile değerlendirildi. Her hastada maksiller veya mandibular molar dişten pulpa hacmi ve diş hacmi ölçüldü. Ölçümleri kullanarak yaş ve cinsiyeti tahmin etmek için basit doğrusal regresyon analizi ve diskriminant fonksiyon analizi yapıldı. Ayrıca cinsiyet ve diş pozisyonuna göre ölçümleri karşılaştırmak için bağımsız örneklem t testi kullanıldı.
Bulgular: Cinsiyet, kadınların %76.6'sında ve erkeklerin %56.3'ünde maksiller birinci molar hacim oranı ile tahmin edilmiştir. Pulpa/diş hacmi oranı (PDHO) ile yaş tahmini (YT), erkeklerde ve maksiller birinci molarlarda daha etkili sonuçlar vermiştir.
Sonuç: Bu çalışmada maksiller birinci molar dişlerin hacim oranının erkeklerde yaş tahmininde, kadınlarda cinsiyet tahmininde (CT) daha doğru sonuçlar verdiği bulundu.

Anahtar Kelimeler

Azı dişleri, Cinsiyet belirleme analizi, Diş pulpa hacmi, Dişlerle yaş tayini, Konik ışınlı bilgisayarlı tomografi

Proje Numarası

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Kaynakça

• 1. Ge ZP, et al. Age estimation based on pulp chamber volume of first molars from cone-beam computed tomography images. Forensic Sci Int 2015;253:133.e1-7.
• 2. García-Campos C, et al. Contribution of dental tissues to sex determination in modern human populations. Am J Phys Anthropol 2018;166(2):459-72.
• 3. Seth J, et al. Dental age estimation in children and adolescents. Indian J Dent Sci 2018;10(4):248-51
• 4. Cameriere R, et al. Age estimation by pulp/tooth ratio in lateral and central incisors by peri-apical X-ray. J Forensic Leg Med 2013;20(5):530-6.
• 5. Yang F, Jacobs R, Willems G. Dental age estimation through volume matching of teeth imaged by cone-beam CT. Forensic Sci Int 2006;159 Suppl 1:S78-83.
• 6. Yekkala R, et al. An improved sample preparation for an LC method used in the age estimation based on aspartic acid racemization from human dentin. J Sep Sci 2007;30(1):118-21.
• 7. Pinchi V. et al. A new age estimation procedure based on the 3D CBCT study of the pulp cavity and hard tissues of the teeth for forensic purposes: A pilot study. J Forensic Leg Med 2015;36:150-7.
• 8. Asif MK, et al. Dental age estimation in Malaysian adults based on volumetric analysis of pulp/tooth ratio using CBCT data. Leg Med (Tokyo) 2019;36:50-58.
• 9. Smith BG, Knight JK. An index for measuring the wear of teeth. Br Dent J 1984;156(12):435-8.
• 10. Alayan I, Aldossary MS, Santini A. Validation of the efficacy of age assessment by the Brothwell tooth wear chart, using skulls of known age at death. J Forensic Dent Sci 2018;10(1):18-21.
• 11. Lu CK, et al. Forensic Age Estimation of Chinese Malaysian Adults by Evaluating Occlusal Tooth Wear Using Modified Kim's Index. Int J Dent 2017;2017:4265753.
• 12. Gilmore CC, Grote MN. Estimating age from adult occlusal wear: a modification of the miles method. Am J Phys Anthropol 2012;149(2):181-92.
• 13. Pentinpuro R, et al. Crown heights in the permanent teeth of 47,XYY males. Acta Odontol Scand 2017;75(5):379-385.
• 14. Acharya AB, et al. Validity of the mandibular canine index (MCI) in sex prediction: Reassessment in an Indian sample. Forensic Sci Int 2011;204(1-3):207.e1-4.
• 15. Acharya AB, Mainali S. Univariate sex dimorphism in the Nepalese dentition and the use of discriminant functions in sex assessment. Forensic Sci Int 2007;173(1):47-56.
• 16. Kondo S, Manabe Y. Analytical methods and interpretation of variation in tooth morphology. J Oral Biosci 2016;58(3):85-94.
• 17. Star H, et al. Human dental age estimation by calculation of pulp-tooth volume ratios yielded on clinically acquired cone beam computed tomography images of monoradicular teeth. J Forensic Sci 2011;56 Suppl 1:S77-82.
• 18. Albalawi AS, et al. Mandible: An Indicator for Sex Determination - A Three-dimensional Cone-Beam Computed Tomography Study. Contemp Clin Dent 2019;10(1):69-73.
• 19. Someda H, et al. Age estimation based on three-dimensional measurement of mandibular central incisors in Japanese. Forensic Sci Int 2009;185(1-3):110-4.
• 20. Andrade VM, et al. Age and sex estimation based on pulp cavity volume using cone beam computed tomography: development and validation of formulas in a Brazilian sample. Dentomaxillofac Radiol 2019;48(7):20190053.
• 21. Yang Z, et al. Age estimation for children and young adults by volumetric analysis of upper anterior teeth using cone-beam computed tomography data. Folia Morphol (Warsz) 2020;79(4): 851-9.
• 22. Chai T, Draxler RR. Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literatüre, Geosci Model Dev 2014;7(3):1247-50
• 23. Cameriere R, Ferrante L, Cingolani M. Variations in pulp/tooth area ratio as an indicator of age: a preliminary study. J Forensic Sci 2004;49(2):317-9.
• 24. Mathur H, et al. Conventional frontal sinus imaging in identification of sex : original study in population of Udaipur City, India. J Med Sci Clin Res 2013;1(1):33–7.
• 25. Gulsahi A, et al. Age estimation based on PTVR measured on cone-beam CT images. Dentomaxillofac Radiol 2018;47(1):20170239.
• 26. Agematsu H, et al. Three-dimensional observation of decrease in pulp cavity volume using micro-CT: age-related change. Bull Tokyo Dent Coll 2010;51(1):1-6.
• 27. Jaeggi T, Lussi A. Prevalence, incidence and distribution of erosion. Monogr Oral Sci 2014;25:55-73.
• 28. Deshpande S. Investigation of Tooth Wear and its Associated Etiologies in Adult Patients Visiting Dental Institute in India. Dentistry 2015;5:271.
• 29. Iscan YM, Steyn M. The Human Skeleton in Forensic Medicine. 3rd ed. Springfield: IL, Charles C, Thomas Pub, 2013; p. 493
• 30. Tardivo D, et al. Three-dimensional modeling of the various volumes of canines to determine age and sex: a preliminary study. J Forensic Sci 2011;56(3):766-70.
• 31. Lopez-Capp TT, et al. Sexing the Cranium from the Foramen Magnum Using Discriminant Analysis in a Brazilian Sample. Braz Dent J 2018;29(6):592-98.
• 32. Alias A, et al. Anthropometric analysis of mandible: an important step for sex determination. Clin Ter 2018;169(5):e217-e223.
• 33. Ekizoglu O, et al. The use of maxillary sinus dimensions in gender determination: a thin-slice multidetector computed tomography assisted morphometric study. J Craniofac Surg 2014;25(3):957-60.
• 34. Teke HY, et al. Determination of gender by measuring the size of the maxillary sinuses in computerized tomography scans. Surg Radiol Anat 2007;29(1):9-13.
• 35. Ilayaraja V, et al. Digitized Morphometric Analysis using Maxillary Canine and Mandibular First Molar for Age Estimation in South Indian Population. Open Dent J. 2018;12:762-69.
• 36. Adisen MZ, et al. Age estimation by measuring maxillary canine PTVR on cone beam CT images with two different voxel sizes, Aust J Forensic Sci. 2020;52(1):71-82.