Staff View: Validation of post mortem dental CT for disaster victim identification

Validation of post mortem dental CT for disaster victim identification

The objective of this study was to test the accuracy and inter-reader variability of comparative radiologic identification based on dental post mortem computed tomography (PMCT) and ante mortem (AM) dental radiographs. Five raters with varying degrees of expertize and experience independently compar...

Full description

Saved in:

Bibliographic Details
Main Authors:	Ruder, Thomas D., Thali, Yannick A., Abdul Rashid, Saiful Nizam, Mund, Michael T., Thali, Michael J., Hatch, Gary M., Christensen, Angi M., Somaini, Sandra, Ampanozi, Garyfalia
Format:	Article
Language:	English
Published:	Elsevier 2016
Online Access:	http://psasir.upm.edu.my/id/eprint/43206/1/Validation%20of%20post%20mortem%20dental%20CT%20for%20disaster%20victim%20identification.pdf http://psasir.upm.edu.my/id/eprint/43206/ http://www.sciencedirect.com/science/article/pii/S2212478016300065
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.upm.eprints.43206
record_format	eprints
spelling	my.upm.eprints.432062016-05-18T04:11:42Z http://psasir.upm.edu.my/id/eprint/43206/ Validation of post mortem dental CT for disaster victim identification Ruder, Thomas D. Thali, Yannick A. Abdul Rashid, Saiful Nizam Mund, Michael T. Thali, Michael J. Hatch, Gary M. Christensen, Angi M. Somaini, Sandra Ampanozi, Garyfalia The objective of this study was to test the accuracy and inter-reader variability of comparative radiologic identification based on dental post mortem computed tomography (PMCT) and ante mortem (AM) dental radiographs. Five raters with varying degrees of expertize and experience independently compared 115 dental PMCT images to 114 AM dental radiographs to identify matching pairs (n=98), unmatched PMCT images (n=17), and unmatched AM radiographs (n=16). Levels of confidence (LOC) and number of concordant features (NOCF) of matched pairs were documented. Accuracy of matches/exclusions, interrater correlation coefficient and correlation between correct matches/exclusions, LOC and NOCF were calculated for all raters. Mean accuracy was 92% for matches and 80% for exclusions. Interrater correlation coefficient regarding LOC and NOCF were 0.623 and 0.907 respectively. LOC were correlated with NOCF of matched pairs but accuracy of matches/exclusions was neither correlated to LOC nor to NOCF. This study shows that visual comparison of PMCT images with AM dental radiographs is a reliable method for identification. Accuracy of identification using PMCT/AM dental radiographs was as high as in comparable studies using post mortem (PM) dental radiographs/AM dental radiographs. Raters with practical experience in forensic identification and experience with the imaging modality (in this case: dental PMCT) achieved higher accuracy than inexperienced raters. Match accuracy did not correlate with subjective confidence or number of concordant features. It is advised to work in teams rather than individually when dealing with real cases in forensic identification, to minimize subjective interpretation and avoid confirmation bias. Elsevier 2016 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43206/1/Validation%20of%20post%20mortem%20dental%20CT%20for%20disaster%20victim%20identification.pdf Ruder, Thomas D. and Thali, Yannick A. and Abdul Rashid, Saiful Nizam and Mund, Michael T. and Thali, Michael J. and Hatch, Gary M. and Christensen, Angi M. and Somaini, Sandra and Ampanozi, Garyfalia (2016) Validation of post mortem dental CT for disaster victim identification. Journal of Forensic Radiology and Imaging, 5. pp. 25-30. ISSN 2212-4780; ESSN: 2212-4799 http://www.sciencedirect.com/science/article/pii/S2212478016300065 10.1016/j.jofri.2016.01.006
institution	Universiti Putra Malaysia
building	UPM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Putra Malaysia
content_source	UPM Institutional Repository
url_provider	http://psasir.upm.edu.my/
language	English
description	The objective of this study was to test the accuracy and inter-reader variability of comparative radiologic identification based on dental post mortem computed tomography (PMCT) and ante mortem (AM) dental radiographs. Five raters with varying degrees of expertize and experience independently compared 115 dental PMCT images to 114 AM dental radiographs to identify matching pairs (n=98), unmatched PMCT images (n=17), and unmatched AM radiographs (n=16). Levels of confidence (LOC) and number of concordant features (NOCF) of matched pairs were documented. Accuracy of matches/exclusions, interrater correlation coefficient and correlation between correct matches/exclusions, LOC and NOCF were calculated for all raters. Mean accuracy was 92% for matches and 80% for exclusions. Interrater correlation coefficient regarding LOC and NOCF were 0.623 and 0.907 respectively. LOC were correlated with NOCF of matched pairs but accuracy of matches/exclusions was neither correlated to LOC nor to NOCF. This study shows that visual comparison of PMCT images with AM dental radiographs is a reliable method for identification. Accuracy of identification using PMCT/AM dental radiographs was as high as in comparable studies using post mortem (PM) dental radiographs/AM dental radiographs. Raters with practical experience in forensic identification and experience with the imaging modality (in this case: dental PMCT) achieved higher accuracy than inexperienced raters. Match accuracy did not correlate with subjective confidence or number of concordant features. It is advised to work in teams rather than individually when dealing with real cases in forensic identification, to minimize subjective interpretation and avoid confirmation bias.
format	Article
author	Ruder, Thomas D. Thali, Yannick A. Abdul Rashid, Saiful Nizam Mund, Michael T. Thali, Michael J. Hatch, Gary M. Christensen, Angi M. Somaini, Sandra Ampanozi, Garyfalia
spellingShingle	Ruder, Thomas D. Thali, Yannick A. Abdul Rashid, Saiful Nizam Mund, Michael T. Thali, Michael J. Hatch, Gary M. Christensen, Angi M. Somaini, Sandra Ampanozi, Garyfalia Validation of post mortem dental CT for disaster victim identification
author_facet	Ruder, Thomas D. Thali, Yannick A. Abdul Rashid, Saiful Nizam Mund, Michael T. Thali, Michael J. Hatch, Gary M. Christensen, Angi M. Somaini, Sandra Ampanozi, Garyfalia
author_sort	Ruder, Thomas D.
title	Validation of post mortem dental CT for disaster victim identification
title_short	Validation of post mortem dental CT for disaster victim identification
title_full	Validation of post mortem dental CT for disaster victim identification
title_fullStr	Validation of post mortem dental CT for disaster victim identification
title_full_unstemmed	Validation of post mortem dental CT for disaster victim identification
title_sort	validation of post mortem dental ct for disaster victim identification
publisher	Elsevier
publishDate	2016
url	http://psasir.upm.edu.my/id/eprint/43206/1/Validation%20of%20post%20mortem%20dental%20CT%20for%20disaster%20victim%20identification.pdf http://psasir.upm.edu.my/id/eprint/43206/ http://www.sciencedirect.com/science/article/pii/S2212478016300065
_version_	1643833497493700608
score	13.211869

Validation of post mortem dental CT for disaster victim identification

Similar Items