Skip to main content
Erschienen in:

28.07.2018 | Original Article

Magnetic resonance imaging of third molars in forensic age estimation: comparison of the Ghent and Graz protocols focusing on apical closure

verfasst von: Jannick De Tobel, Griet Iona Loïs Parmentier, Inès Phlypo, Benedicte Descamps, Sara Neyt, Wim Leon Van De Velde, Constantinus Politis, Koenraad Luc Verstraete, Patrick Werner Thevissen

Erschienen in: International Journal of Legal Medicine | Ausgabe 2/2019

Einloggen, um Zugang zu erhalten

Abstract

Purpose

To compare the Ghent and Graz magnetic resonance imaging (MRI) protocols for third molars, focusing on the assessment of apical closure. To study the influence of (1) voxel size and (2) head fixation using a bite bar. To compare both protocols with a ground truth of apical development.

Materials and methods

In 11 healthy volunteers, 3T MRI was conducted, including four Ghent sequences and two Graz sequences, with and without bite bar. After removal, 39 third molars were scanned with 7T μMRI and μCT to establish the ground truth of apical development. Three observers in consensus evaluated assessability and allocated developmental stages.

Results

The Ghent T2 FSE sequence (0.33 × 0.33 × 2 mm3) was more assessable than the Graz T1 3D FSE sequence (0.59 × 0.59 × 1 mm3). Comparing assessability in both sequences with bite bar rendered P = 0.02, whereas comparing those without bite bar rendered P < 0.001. Within the same sequence, the bite bar increased assessability, with P = 0.03 for the Ghent T2 FSE and P = 0.07 for the Graz T1 3D FSE. Considering μCT as ground truth for staging, allocated stages on MRI were most frequently equal or higher. Among in vivo protocols, the allocated stages did not differ significantly.

Conclusion

Imaging modality-specific and MRI sequence-specific reference data are needed in age estimation. A higher in-plane resolution and a bite bar increase assessability of apical closure, whereas they do not affect stage allocation of assessable apices.
Anhänge
Nur mit Berechtigung zugänglich
Literatur
3.
Zurück zum Zitat Schmeling A, Geserick G, Reisinger W, Olze A (2007) Age estimation. Forensic Sci Int 165:178–181CrossRef Schmeling A, Geserick G, Reisinger W, Olze A (2007) Age estimation. Forensic Sci Int 165:178–181CrossRef
9.
Zurück zum Zitat Štern D, Kainz P, Payer C, Urschler M (2017) Multi-factorial age estimation from skeletal and dental MRI volumes. In: International Workshop on Machine Learning in Medical Imaging. Springer Quebec City, Canada, pp 61–69CrossRef Štern D, Kainz P, Payer C, Urschler M (2017) Multi-factorial age estimation from skeletal and dental MRI volumes. In: International Workshop on Machine Learning in Medical Imaging. Springer Quebec City, Canada, pp 61–69CrossRef
10.
Zurück zum Zitat Thevissen PW, Kvaal SI, Dierickx K, Willems G (2012) Ethics in age estimation of unaccompanied minors. J Forensic Odontostomatol 30(Suppl 1):84–102PubMed Thevissen PW, Kvaal SI, Dierickx K, Willems G (2012) Ethics in age estimation of unaccompanied minors. J Forensic Odontostomatol 30(Suppl 1):84–102PubMed
12.
Zurück zum Zitat Gustafson G, Koch G (1974) Age estimation up to 16 years of age based on dental development. Odontol Revy 25:297–306PubMed Gustafson G, Koch G (1974) Age estimation up to 16 years of age based on dental development. Odontol Revy 25:297–306PubMed
19.
Zurück zum Zitat De Tobel J, Phlypo I, Fieuws S, Politis C, Verstraete K, Thevissen P (2017) Forensic age estimation based on development of third molars: a staging technique for magnetic resonance imaging. J Forensic Odontostomatol 35:117–140PubMedPubMedCentral De Tobel J, Phlypo I, Fieuws S, Politis C, Verstraete K, Thevissen P (2017) Forensic age estimation based on development of third molars: a staging technique for magnetic resonance imaging. J Forensic Odontostomatol 35:117–140PubMedPubMedCentral
20.
Zurück zum Zitat Levesque GY, Demirijian A, Tanguay R (1981) Sexual dimorphism in the development, emergence, and agenesis of the mandibular third molar. J Dent Res 60:1735–1741CrossRef Levesque GY, Demirijian A, Tanguay R (1981) Sexual dimorphism in the development, emergence, and agenesis of the mandibular third molar. J Dent Res 60:1735–1741CrossRef
23.
Zurück zum Zitat Levesque GY, Demirjian A (1980) The inter-examiner variation in rating dental formation from radiographs. J Dent Res 59:1123–1126CrossRef Levesque GY, Demirjian A (1980) The inter-examiner variation in rating dental formation from radiographs. J Dent Res 59:1123–1126CrossRef
24.
Zurück zum Zitat Unterpirker W, Ebner T, Stern D, Urschler M. (2015) Automatic third molar localization from 3D MRI using random regression forests. In: Proceedings of the 19th Conference on Medical Image Understanding and Analysis (MIUA) Lincoln, United Kingdom. pp. 195–200 Unterpirker W, Ebner T, Stern D, Urschler M. (2015) Automatic third molar localization from 3D MRI using random regression forests. In: Proceedings of the 19th Conference on Medical Image Understanding and Analysis (MIUA) Lincoln, United Kingdom. pp. 195–200
30.
Zurück zum Zitat Nasel C, Gahleitner A, Breitenseher M, Czerny C, Solar P, Imhof H (1998) Dental MR tomography of the mandible. J Comput Assist Tomogr 22:498–502CrossRef Nasel C, Gahleitner A, Breitenseher M, Czerny C, Solar P, Imhof H (1998) Dental MR tomography of the mandible. J Comput Assist Tomogr 22:498–502CrossRef
Metadaten
Titel
Magnetic resonance imaging of third molars in forensic age estimation: comparison of the Ghent and Graz protocols focusing on apical closure
verfasst von
Jannick De Tobel
Griet Iona Loïs Parmentier
Inès Phlypo
Benedicte Descamps
Sara Neyt
Wim Leon Van De Velde
Constantinus Politis
Koenraad Luc Verstraete
Patrick Werner Thevissen
Publikationsdatum
28.07.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Legal Medicine / Ausgabe 2/2019
Print ISSN: 0937-9827
Elektronische ISSN: 1437-1596
DOI
https://doi.org/10.1007/s00414-018-1905-6

Neu im Fachgebiet Rechtsmedizin

Pathologie der Milz

Nach einer Beschreibung der Milzanatomie und Darstellung der diagnostisch wichtigsten immunhistochemischen Färbungen zur Identifizierung der normalen Milzkompartimente werden am Beispiel eines nordafrikanischen Patienten mit rezentem …

Molekular definierte Nierenzellkarzinome 2025

Im Zuge der Überarbeitung der WHO-Klassifikation im Jahr 2022 konnten für mehrere Nierenzellkarzinome (NZK), die sich zuvor nicht eindeutig den bis dahin definierten Tumortypen zuordnen ließen, jedoch gemeinsame morphologische und molekulare …

Wichtige Änderungen in der WHO-Klassifikation der Hodentumoren 2022

In der 5. Auflage der „WHO-Klassifikation der Tumoren der ableitenden Harnwege und des männlichen Genitaltrakts“ sind bedeutende Anpassungen an den bisherigen Klassifikationen vorgenommen worden. Diese betreffen bei den Keimzelltumoren des Hodens …

DNA mixture deconvolution using fully continuous models EuroForMix and EFMrep

  • Open Access
  • Originalien

Mixture deconvolution is a powerful tool for inferring individual DNA profiles from DNA mixtures for subsequent transmission to a database or database queries. To carry out deconvolution, a mixed trace can be interpreted either manually by an …