Kimlik Belirlemede Ağız Diş ve Çene Radyolojisinin Rolü

Yıl 2023, , 217 - 223, 27.12.2023

Menduh Sercan Kaya

https://doi.org/10.51122/neudentj.2023.80

Öz

Adli odontoloji, diş hekimliğinin yasal konularla ilgilenen birimidir. Günümüzde karşılaştırmalı tanımlama, ölen kişinin ölüm öncesi ve ölüm sonrası görüntülerinin karşılaştırılmasına dayanmaktadır. Oral ve paraoral bölgedeki yapıların benzersizliği ve çevresel etkilere karşı dirençleri, karşılaştırmalı tanımlamaya olanak tanır. Karşılaştırmalı tanımlama 3 aşamada yapılır. Bu aşamalar antemortem veri toplama, postmortem veri toplama ve bu verilerin karşılaştırılmasıdır. Bu veriler arasında en değerlileri ölüm saatine en yakın radyografik kayıtlardır. Tanımlama için dijital radyografiler, kullanım ve arşivleme kolaylığı nedeniyle genellikle analog radyografilere tercih edilir. Radyografi tekniklerinin çoğu tanımlamada önemli olmakla birlikte en sık kullanılan radyografi teknikleri periapikal, bitewing, sefalometrik, bilek grafileri, okluzal, panoramik, waters ve üç boyutlu görüntüleme yöntemleridir.

Anahtar Kelimeler

adli odontoloji, ağız ve çene radyolojisi, kimlik tespiti

The Role of Oral And Maxillofacial Radiology in Identification: Review

Öz

Forensic odontology is the unit of dentistry that deals with legal issues. Comparative identification today is based on the comparison of antemortem and post-mortem images of the deceased. The uniqueness of the structures in the oral and paraoral region and their resistance to environmental effects allow comparative identification. Comparative identification is done in 3 stages. These stages are antemortem data collection, postmortem data collection and comparison of these data. Among these data, the most valuable ones are the radiographic records closest to the time of death. For identification, digital radiographs are generally preferred to analog radiographs due to their ease of use and archiving. Although most of the radiography techniques are important in identification, the most commonly used radiography techniques are periapical, bitewing, cephalometric, wrist radiographs, occlusal, panoramic, waters and three-dimensional imaging methods.

Anahtar Kelimeler

forensic odontology, identification, oral and maxillofacial radiology

Kaynakça

• 1. Forrest AS. Collection and recording of radiological information for forensic purposes. Aust Dent J. 2012;57:24-32.
• 2. Kaul B, Vaid V, Gupta S, Kaul S. Forensic odontological parameters as biometric tool: A review. Int J Clin Pediatr Dent. 2021;14:416.
• 3. Canger EM, Arslan DS. The utılızatıon of radıology ın forensıc odontology. J Dent Fac Atatürk Uni. 2013;23:252-60.
• 4. Görmez Ö, Yılmaz H. Kimliklendirmede dental değerlendirmenin önemi. S.D.Ü. Tıp Fak. Derg. 2014;21:29-34.
• 5. Diac MM, İov T, Knieling A, Damian Sİ, Tabian D, Bulgaru İliescu D. Dental identification in forensic anthropology. A literature review. International journal of medical dentistry. 2020;24: 464-70.
• 6. Wood R, Kogon S. Dental radiology considerations in DVI incidents: A review. Forensic Sci Int. 2010;201:27-32.
• 7. Samuel SG, Pandey A, Dahiya M. A report on the current status of radiology in forensic odontology in the Indian scenario. Int J Forensic Dent. 2017;2:34.
• 8. Rehani S, Chandrashekhar C, Radhakrishnan R. The role of radiography in forensic dental practice. Indian J Dent Adv. 2011;3:413-7.
• 9. Chiam S-L. A note on digital dental radiography in forensic odontology. J Forensic Dent Sci. 2014;6:197. 10. Sood R, Mamachand P, Sood R, Parasher P. Role of odontology in determination of identity in forensic science—An overview. J Adv Med Dent Scie Res. 2014;2:174-80.
• 11. Pittayapat P, Jacobs R, De Valck E, Vandermeulen D, Willems G. Forensic odontology in the disaster victim identification process. J Forensic Odontostomatol. 2012;30:1.
• 12. Afşin H, Karadayi B. Felaket kurbanlarinin kimliklendirilmesinde diş kayitlarinin önemi. Adli Tıp Bulteni 2012;17:31-7.
• 13. Goldstein M, Sweet DJ, Wood RE. A specimen positioning device for dental radiographic identification--image geometry considerations. J Forensic Sci. 1998;43:185-9.
• 14. Wood R. Forensic aspects of maxillofacial radiology. Forensic Sci Int. 2006;159: 47-55.
• 15. Smitha T. Artificial Intelligence in Forensic Odontology. J Forensic Dent Sci. 2021; 13: 01-2.
• 16. Kvaal SI, Kolltveit KM, Thomsen IO, Solheim T. Age estimation of adults from dental radiographs. Forensic Sci Int. 1995;74:175-85.
• 17. Star H, Thevissen P, Jacobs R, Fieuws S, Solheim T, Willems G. Human dental age estimation by calculation of pulptooth volume ratios yielded on clinically acquired cone beam computed tomography images of monoradicular teeth. J Forensic Sci. 2011;56:77-82.
• 18. Nuzzolese E, Di Vella G. Digital radiological research in forensic dental investigation: case studies. Minerva Stomatol. 2012;61:165-73.
• 19. Valenzuela A, Martin-De Las Heras S, Marques T, Expósito N, Bohoyo J. The application of dental methods of identification to human burn victims in a mass disaster. Int J Legal Med. 2000;113:236-9.
• 20. Lundberg E, Mihajlovic NS, Sjöström M, Ahlqvist J. The use of panoramic images for identification of edentulous persons. J Forensic Odontostomatol. 2019;37:18.
• 21. Zikir A, Manica S. Forensic dentistry and disaster victim identification (DVI) in Indonesia. Aust J Forensic Sci. 2021;53:75-83.
• 22. Wenzel A, Richards A, Heidmann J. Matching simulated antemortem and postmortem dental radiographs from human skulls by dental students and experts: testing skills for pattern recognition. J Forensic Odontostomatol. 2010;28:5-12.
• 23. Fridell S, Ahlqvist J. The use of dental radiographs for identification of children with unrestored dentitions. J Forensic Odontostomatol. 2006;24:42-6.
• 24. Patil N, Karjodkar FR, Sontakke S, Sansare K, Salvi R. Uniqueness of radiographic patterns of the frontal sinus for personal identification. Imaging Sci Dent. 2012;42:213-7.
• 25. Soares CBRB, Almeida MSC, Lopes PdML, Beltrão RV, dos Anjos Pontual A, de Moraes Ramos-Perez FM, et al. Human identification study by means of frontal sinus imaginological aspects. Forensic Sci Int. 2016;262:183-9.
• 26. Fujimoto H, Hayashi T, Iino M. A novel method for landmark-based personal identification on panoramic dental radiographic and computed tomographic images. Journal of Forensic Radiology and Imaging. 2016;7:21-7.
• 27. Morgan B, Alminyah A, Cala A, Elliott D, Gorincour G, Hofman P, et al. Use of post-mortem computed tomography in Disaster Victim Identification. Positional statement of the members of the Disaster Victim Identification working group of the International Society of Forensic Radiology and Imaging. Journal of Forensic Radiology and Imaging. 2014;2:114-6.
• 28. Vidhya A, Doggalli N, Patil K, Narayan K, Thiruselvakumar D, Abirami A. Virtual autopsy: An imaging technological integration in forensic odontology. Int J Forensic Dent. 2019;4:2-6.
• 29. Tatlisumak E, Ovali GY, Aslan A, Asirdizer M, Zeyfeoglu Y, Tarhan S. Identification of unknown bodies by using CT images of frontal sinus. Forensic Sci Int. 2007;166:42-8.
• 30. Sakuma A, Makino Y, Saitoh H, Chiba F, Ishii N, Iwase H. Evaluation of a personal identification method using the fusion function of CT images and dental radiographs. Dentomaxillofac Radiol. 2015;44:20140137.
• 31. Murphy M, Drage N, Carabott R, Adams C. Accuracy and reliability of cone beam computed tomography of the jaws for comparative forensic identification: a preliminary study. J Forensic Sci. 2012;57:964-8.
• 32. Doğan ME, Yalçın ED. Investigation of the relationship of dental ımplants in the mandible with the lingual foramen by cone beam computed tomography. HRU International Journal of Dentistry and Oral Research.2022;7-10.
• 33. Kirchhoff S, Fischer F, Lindemaier G, Herzog P, Kirchhoff C, Becker C, et al. Is post-mortem CT of the dentition adequate for correct forensic identification: comparison of dental computed tomograpy and visual dental record. Int J Legal Med. 2008;122:471-9.
• 34. Vila-Blanco N, Carreira MJ, Varas-Quintana P, Balsa-Castro C, Tomas I. Deep neural networks for chronological age estimation from OPG images. IEEE Trans Med Imaging. 2020;39:2374-84.
• 35. Ahmed O, Saleem SA, Khan AA, Daruwala S, Pettiwala A. Artificial intelligence in forensic odontology--A review. International Dental Journal of Students' Research. 2023;11:54-60.
• 36. Doğan ME, Öztürk EMA. Oral radyolojide yapay zeka. HRU International Journal of Dentistry and Oral Research.2022;1:78-83.