Literature DB >> 30179688

Post-mortem X-ray computed tomography (PMCT) identification using ante-mortem CT-scan of the sphenoid sinus.

Lucile Deloire1, Idris Diallo2, Romain Cadieu1, Mathieu Auffret3, Zarrin Alavi4, Julien Ognard1, Douraïed Ben Salem5.   

Abstract

PURPOSE: To evaluate forensic identification of individuals through visual comparison of sphenoid sinus anatomical configuration using ante- and post-mortem CT-scans. METHOD AND MATERIALS: Ante- and post-mortem head CT-scan of 33 individuals were retrospectively collected. Ten head CT-scans were randomly selected from various neurological contexts and added to the ante-mortem group. Ten other head CT-scans were randomly selected from our post-mortem PACS and added to the post-mortem group. These CT-scans were assigned into 2 groups for analysis: an ante-mortem group (33 + 10) and a post-mortem group (33 + 10). For ethics and to avoid identification bias, CT-scans were anonymized - not showing any head structure but only sphenoid sinuses. An anatomical based classification system using the sphenoid sinuses anatomical variations was created according to anatomical and surgical literature. This classification was used by readers to identify in two different steps a maximum of matched and then unmatched scans.
RESULTS: The first reader had a sensitivity of 100% [CI: 89.4%-100%] and a specificity of 100% [CI: 99.8%-100%]. Sensitivity and specificity were respectively 93.9% [CI: 79.8%-99.3%] and 99.9% [CI: 99.6%-100%] for the second reader. Positive and negative predictive values were respectively 100% [CI: 89.4%-100%] and 100% [CI: 99.8%-100%] for the first reader. Positive and negative values were respectively 96.9% [CI: 83.8%-99.9%] and 99.9% [CI: 99.7%-100%] for the second reader. Inter-reader variability was estimated by Cohen's kappa and an excellent agreement was found.
CONCLUSION: We reported an excellent validity and reliability of subjective visual comparison of ante- and post-mortem CT-data using an anatomical based classification of the sphenoid sinus.
Copyright © 2018 Elsevier Masson SAS. All rights reserved.

Keywords:  Forensic identification; Post-mortem computed tomography; Sphenoid sinus

Mesh:

Year:  2018        PMID: 30179688     DOI: 10.1016/j.neurad.2018.08.003

Source DB:  PubMed          Journal:  J Neuroradiol        ISSN: 0150-9861            Impact factor:   3.447


  5 in total

1.  Post-mortem computed tomography as part of dental identification - a proposed guideline.

Authors:  Niels Dyrgaard Jensen; Sara Arge; Nikolaj Friis Hansen; Niels Lynnerup
Journal:  Forensic Sci Med Pathol       Date:  2019-07-30       Impact factor: 2.007

2.  Automatic forensic identification using 3D sphenoid sinus segmentation and deep characterization.

Authors:  Kamal Souadih; Ahror Belaid; Douraied Ben Salem; Pierre-Henri Conze
Journal:  Med Biol Eng Comput       Date:  2019-12-17       Impact factor: 2.602

3.  Three-dimensional analysis of sphenoid sinus uniqueness for assessing personal identification: a novel method based on 3D-3D superimposition.

Authors:  Annalisa Cappella; Daniele Gibelli; Michaela Cellina; Debora Mazzarelli; Antonio Giancarlo Oliva; Danilo De Angelis; Chiarella Sforza; Cristina Cattaneo
Journal:  Int J Legal Med       Date:  2019-08-08       Impact factor: 2.686

4.  Forensic Identification from Three-Dimensional Sphenoid Sinus Images Using the Iterative Closest Point Algorithm.

Authors:  Xiaoai Dong; Fei Fan; Wei Wu; Hanjie Wen; Hu Chen; Kui Zhang; Ji Zhang; Zhenhua Deng
Journal:  J Digit Imaging       Date:  2022-04-04       Impact factor: 4.903

5.  Pragmatic Approaches to Reducing Radiation Dose in Brain Computed Tomography Scan using Scan Parameter Modification.

Authors:  Mohammad Reza Choopani; Iraj Abedi; Fatemeh Dalvand
Journal:  J Med Signals Sens       Date:  2022-07-26
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.