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1.
Sci Justice ; 62(1): 110-116, 2022 01.
Artigo em Inglês | MEDLINE | ID: mdl-35033323

RESUMO

Identifying missing persons and unidentified dead bodies is a well-documented global problem in recent years. To curb this issue, countries such as the USA, UK, and Australia already have well-established DNA databases. Considering the alarming number of unidentified/unclaimed dead bodies reported in India every year, it is evident that the current practices are not sufficient to establish their identities. Forensic medicine professionals are ethically, morally, and dutybound to collect information about missing and unidentified persons and work with the government agencies to determine their identity. Concerning the social and public interest, we have developed the first-ever identification portal and DNA database of unidentified dead bodies autopsied at the Department of Forensic Medicine and Toxicology, AIIMS, New Delhi, India. After the investigation officer's informed consent, biological samples from unidentified dead bodies and a detailed phenotypic description, anthropological data and other visual characteristics of the deceased are recorded at the time of autopsy. This information is uploaded on our database which is available for public access, and the genotypic information generated through STR analysis is only available for internal usage.Claimants (biological relatives) may browse through the URL (https://umid-aiims.icmr.org.in/), and if they wish to claim an unidentified dead body, they may approach as per the given guidelines. The DNA profiles generated include a total of 16 STRs (15 autosomal tetranucleotide microsatellite STRs and 1 Sex Chromosome Specific STR). The claimant's STR profile is run through the questioned database to look for a potential match. If positive, the investigating officer of that particular case is informed for further necessary action. Until December 2020, our database consisted the information of 255 individuals and two unidentified cadavers were identified. This project's success can also lead to a pioneering National DNA database of unidentified and missing persons in India.


Assuntos
Bases de Dados de Ácidos Nucleicos , Medicina Legal , Autopsia , DNA/análise , Impressões Digitais de DNA , Humanos , Repetições de Microssatélites
2.
Phys Med ; 45: 52-58, 2018 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-29472090

RESUMO

PURPOSE: In this study non-calcified plaque composition is evaluated by Dual Energy CT (DECT). Energy Dispersive X-ray Spectroscopy (EDS) has been used to study the Plaque composition. An attempt has been made to explain the DECT results with EDS analysis. METHODS: Thirty-two ex-vivo human cadaver coronary artery samples were scanned by DECT and data was evaluated to calculate their effective atomic number and electron density (Zeff & ρe) by inversion method. Result of DECT was compared with pathology to assess their differentiating capability. The EDS study was used to explain DECT outcome. RESULTS: DECT study was able to differentiate vulnerable plaque from stable with 87% accuracy (area under the curve (AUC):0.85 [95% confidence interval {CI}:0.73-0.98}] and Kappa Coefficient (KC):0.75 with respect to pathology. EDS revealed significant compositional difference in vulnerable and stable plaque at p < .05. The weight percentage of higher atomic number elements like F, Na, Mg, S, Si, P, Cl, K and Ca was found to be slightly more in vulnerable plaques as compared to a stable plaque. EDS also revealed a significantly increased weight percentage of nitrogen in stable plaques. CONCLUSIONS: The EDS results were able to explain the outcomes of DECT study. This study conclusively explains the physics of DECT as a tool to assess the nature of non-calcified plaques as vulnerable and stable. The method proposed in this study allows for differentiation between vulnerable and stable plaque using DECT.


Assuntos
Doença da Artéria Coronariana/diagnóstico por imagem , Vasos Coronários/diagnóstico por imagem , Placa Aterosclerótica/diagnóstico por imagem , Tomografia Computadorizada por Raios X , Adulto , Área Sob a Curva , Doença da Artéria Coronariana/metabolismo , Doença da Artéria Coronariana/patologia , Vasos Coronários/metabolismo , Vasos Coronários/ultraestrutura , Feminino , Humanos , Masculino , Microscopia Eletrônica de Varredura , Pessoa de Meia-Idade , Placa Aterosclerótica/metabolismo , Placa Aterosclerótica/patologia , Curva ROC , Análise Espectral , Tomografia Computadorizada por Raios X/métodos , Adulto Jovem
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