Literature DB >> 29691730

Differentiation of dental restorative materials combining energy-dispersive X-ray fluorescence spectroscopy and post-mortem CT.

Tim Merriam1, Rolf Kaufmann2, Lars Ebert3, Renato Figi2, Rolf Erni2, Robin Pauer2, Till Sieberth3.   

Abstract

Today, post-mortem computed tomography (CT) is routinely used for forensic identification. Mobile energy-dispersive X-ray fluorescence (EDXRF) spectroscopy of a dentition is a method of identification that has the potential to be easier and cheaper than CT, although it cannot be used with every dentition. In challenging cases, combining both techniques could facilitate the process of identification and prove to be advantageous over chemical analyses. Nine dental restorative material brands were analyzed using EDXRF spectroscopy. Their differentiability was assessed by comparing each material's x-ray fluorescence spectrum and then comparing the spectra to previous research investigating differentiability in CT. To verify EDXRF's precision and accuracy, select dental specimens underwent comparative electron beam excited x-ray spectroscopy (EDS) scans, while the impact of the restorative surface area was studied by scanning a row of dental specimens with varying restorative surface areas (n = 10). EDXRF was able to differentiate all 36 possible pairs of dental filling materials; however, dual-energy CT was only able to differentiate 33 out of 36. The EDS scans showed correlating x-ray fluorescence peaks on the x-ray spectra compared to our EDXRF. In addition, the surface area showed no influence on the differentiability of the dental filling materials. EDXRF has the potential to facilitate corpse identification by differentiating and comparing restorative materials, providing more information compared to post-mortem CT alone. Despite not being able to explicitly identify a brand without a control sample or database, its fast and mobile use could accelerate daily routines or mass victim identification processes. To achieve this goal, further development of EDXRF scanners for this application and further studies evaluating the method within a specific routine need to be performed.

Entities:  

Keywords:  Corpse identification; Dental identification; Dental restorative materials; Energy-dispersive x-ray fluorescence; Forensic identification; Virtopsy

Mesh:

Substances:

Year:  2018        PMID: 29691730     DOI: 10.1007/s12024-018-9979-5

Source DB:  PubMed          Journal:  Forensic Sci Med Pathol        ISSN: 1547-769X            Impact factor:   2.007


  9 in total

1.  Extended CT scale overcomes restoration caused streak artifacts for dental identification in CT--3D color encoded automatic discrimination of dental restorations.

Authors:  C Jackowski; A Lussi; M Classens; T Kilchoer; S Bolliger; E Aghayev; A Criste; R Dirnhofer; M J Thali
Journal:  J Comput Assist Tomogr       Date:  2006 May-Jun       Impact factor: 1.826

2.  Dental CT imaging as a screening tool for dental profiling: advantages and limitations.

Authors:  Michael J Thali; Thomas Markwalder; Christian Jackowski; Martin Sonnenschein; Richard Dirnhofer
Journal:  J Forensic Sci       Date:  2006-01       Impact factor: 1.832

3.  Maximum intensity projection of cranial computed tomography data for dental identification.

Authors:  C Jackowski; E Aghayev; M Sonnenschein; R Dirnhofer; M J Thali
Journal:  Int J Legal Med       Date:  2005-10-20       Impact factor: 2.686

4.  Identification through X-ray fluorescence analysis of dental restorative resin materials: a comprehensive study of noncremated, cremated, and processed-cremated individuals.

Authors:  Mary A Bush; Raymond G Miller; Jennifer Prutsman-Pfeiffer; Peter J Bush
Journal:  J Forensic Sci       Date:  2007-01       Impact factor: 1.832

5.  Ultra-high-resolution dual-source CT for forensic dental visualization-discrimination of ceramic and composite fillings.

Authors:  C Jackowski; M Wyss; A Persson; M Classens; M J Thali; A Lussi
Journal:  Int J Legal Med       Date:  2008-03-12       Impact factor: 2.686

6.  Analytical survey of restorative resins by SEM/EDS and XRF: databases for forensic purposes.

Authors:  Mary A Bush; Raymond G Miller; Ann L Norrlander; Peter J Bush
Journal:  J Forensic Sci       Date:  2008-02-19       Impact factor: 1.832

7.  Three-dimensional visualization of composite fillings for dental identification using CT images.

Authors:  A Sakuma; H Saitoh; Y Makino; G Inokuchi; M Hayakawa; D Yajima; H Iwase
Journal:  Dentomaxillofac Radiol       Date:  2012-09       Impact factor: 2.419

8.  The applicability of using different energy levels in CT imaging for differentiation or identification of dental restorative materials.

Authors:  Josef M Kutschy; Garyfalia Ampanozi; Nicole Berger; Thomas D Ruder; Michael J Thali; Lars C Ebert
Journal:  Forensic Sci Med Pathol       Date:  2014-08-13       Impact factor: 2.007

9.  Radiopacity of restorative materials using digital images.

Authors:  Leda Maria Pescinini Salzedas; Mário Jefferson Quirino Louzada; Antonio Braz de Oliveira Filho
Journal:  J Appl Oral Sci       Date:  2006-04       Impact factor: 2.698

  9 in total

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