Literature DB >> 35705766

Quantifying the potential of morphological parameters for human dental identification: part 3-selecting the strongest skeletal identifiers in the mandible.

Anca R Iliescu1, Cezar V Capitaneanu2, Debora Hürter2, Steffen Fieuws3, Jannick De Tobel4, Patrick W Thevissen2.   

Abstract

The current study aimed to select the best mandibular morphological identifiers. One-hundred eighty-five panoramic radiographs were retrospectively collected, in which four landmarks were located on the mandible: the most superior point of the condyle right/left (CONR/L), of the coronoid right/left (CORR/L), of the mandibular lingula right/left (LINR/L), and the most mesial point of the mental foramen right/left (MMFR/L). Five linear measurements, 6 angles, and 10 ratios were measured bilaterally. Three groups of statistics were considered: (1) mean potential set; (2) inter-observer agreement quantified by intra-class correlation (ICC) and within-subject coefficient of variation (WSCV); and (3) Spearman correlation. Parameters were selected for a step-by-step cascade. In a univariate approach, the following parameters proved to have the best identifying capacity: ratio 3 right (between lines CONR - CORR and LINR - MMFR) with mean potential set 13%, ICC 0.90, and WSCV 4.8%; ratio 4 (between lines CONR/L - CORR/L and MMFR - MMFL) with mean potential set 13%, ICC 0.92, and WSCV 8.9%; and angle 4 left (between landmarks LINL, MMFL, and MMFR) with mean potential set of 18%, ICC 0.91, and WSCV 1.2%. The correlation coefficients ranged from 0.01 to 0.33. In a multivariate approach, the identifying capacity improved drastically, with all ratios combined as the strongest identifier (mean potential set 1.29%). In conclusion, a single ratio or a single angle already narrows down the set of potential matches, but the mean potential set remains relatively large. Combining all ratios drastically increases the certainty of the match.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Forensic odontology; Human identification; Mandible; Panoramic radiographs

Mesh:

Year:  2022        PMID: 35705766     DOI: 10.1007/s00414-022-02852-8

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.791


  24 in total

1.  Location of mental foramen using digital panoramic Radiography.

Authors:  Ajmal Mohamed; Kannan Nataraj; Vinod B Mathew; Beena Varma; Shamil Mohamed; Nidhin J Valappila; Aravind S Meena
Journal:  J Forensic Dent Sci       Date:  2016 May-Aug

2.  Gender determination by radiographic analysis of mental foramen in the Maharashtra population of India.

Authors:  Girish Suragimath; S R Ashwinirani; Vineetha Christopher; Shobha Bijjargi; Renuka Pawar; Ajay Nayak
Journal:  J Forensic Dent Sci       Date:  2016 Sep-Dec

3.  Assessment of sexual dimorphism using digital orthopantomographs in South Indians.

Authors:  Sailaja Sambhana; Praveen Sanghvi; Rezwana Begum Mohammed; Prasanth Prathapan Shanta; Anshuj Ajay Rao Thetay; Varunjeet Singh Chaudhary
Journal:  J Forensic Dent Sci       Date:  2016 Sep-Dec

4.  Morphological variations of lingula and prevalence of accessory mandibular foramina in mandibles: A study.

Authors:  Mohammed Asdullah; Afroz Alam Ansari; Masood Hassan Khan; Nasir A Salati; Kauser J Khawja; Arti S Sachdev
Journal:  Natl J Maxillofac Surg       Date:  2018 Jul-Dec

5.  Mandibular Canal Course and the Position of the Mental Foramen by Panoramic X-Ray in Chilean Individuals.

Authors:  Gloria Cartes; Ivonne Garay; Naira Figueiredo Deana; Pablo Navarro; Nilton Alves
Journal:  Biomed Res Int       Date:  2018-06-07       Impact factor: 3.411

6.  Mental Foramen Size, Position and Symmetry in a Multi-Ethnic, Urban Black Population: Radiographic Evidence.

Authors:  Seidu Adebayo Bello; John Ademola Adeoye; Nosa Ighile; Nathan Ukuoghene Ikimi
Journal:  J Oral Maxillofac Res       Date:  2018-12-30

Review 7.  DNA recovery and analysis from skeletal material in modern forensic contexts.

Authors:  Krista E Latham; Jessica J Miller
Journal:  Forensic Sci Res       Date:  2018-10-08

8.  Prediction of age and gender using digital radiographic method: A retrospective study.

Authors:  V Poongodi; R Kanmani; M S Anandi; C L Krithika; A Kannan; P H Raghuram
Journal:  J Pharm Bioallied Sci       Date:  2015-08

9.  Determination of sex by radiographic analysis of mental foramen in North Indian population.

Authors:  Akhilesh Chandra; Anil Singh; Manjunath Badni; Rohit Jaiswal; Archana Agnihotri
Journal:  J Forensic Dent Sci       Date:  2013-01

10.  Assessment of the Effect of Dimensions of the Mandibular Ramus and Mental Foramen on Age and Gender Using Digital Panoramic Radiographs: A Retrospective Study.

Authors:  Tanvi Dosi; Sonal Vahanwala; Dhaman Gupta
Journal:  Contemp Clin Dent       Date:  2018 Jul-Sep
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