Cargando…
A Cross-Sectional Study of Time Since Death From Image Analysis of Corneal Opacity
Estimation of time since death (TSD) is an important aspect of forensic medicine. Methods used so far are subjective and have human errors. Corneal opacity images using software to analyze the red, green, and blue (RGB) components of corneal color against the TSD may prove to be an objective method....
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192622/ https://www.ncbi.nlm.nih.gov/pubmed/34123671 http://dx.doi.org/10.7759/cureus.14975 |
_version_ | 1783706080209010688 |
---|---|
author | Nath, Anamika Patowary, Amar J Ropmay, Amarantha Donna Slong, Daunipaia Pratim, Kumar Pinku Rymbai, Bashan Kupar Marbaniang, Rangme Betlin Yvette |
author_facet | Nath, Anamika Patowary, Amar J Ropmay, Amarantha Donna Slong, Daunipaia Pratim, Kumar Pinku Rymbai, Bashan Kupar Marbaniang, Rangme Betlin Yvette |
author_sort | Nath, Anamika |
collection | PubMed |
description | Estimation of time since death (TSD) is an important aspect of forensic medicine. Methods used so far are subjective and have human errors. Corneal opacity images using software to analyze the red, green, and blue (RGB) components of corneal color against the TSD may prove to be an objective method. This study aimed to estimate TSD from image analysis of corneal opacity from the cornea of deceased individuals brought in for medicolegal autopsy to study the factors affecting corneal opacity and to formulate a predictive equation for the estimation of TSD. This was a cross-sectional study conducted at the department of forensic medicine and toxicology of a tertiary care medical institute over two years. The study group included cadavers brought in for autopsy where the TSD was known from hospital records. For study tools, we used a digital single-lens reflex (DSLR) camera with standardized settings, a dark box made of cardboard, and open-access RGB analysis software. Images were analyzed for differences in the numeric values of the RGB color and compared against the TSD. Correlations between TSD and age, gender, and environmental temperature were checked. This study involved 30 cases; these were analyzed and showed an increase in the numeric values of RGB for the corneal color as the TSD increases. Of note, the correlation of TSD with the color red was greater than for either blue or green; age had a positive correlation while gender had nearly no correlation, and the environmental temperature had a negative correlation. Based on this, gender was excluded from our equation. Also, we noted that the variance inflation factor of green was high and, therefore, excluded it from the predictive equation. The equation derived follows: TSD = {(0.091 x Age) + (0.171 x Red) + (0.018 x Blue) - (0.019 x Environmental Temperature) - 5.263}. Using this equation, the mean error was 21 minutes. This equation further narrowed the time range, usually given as four to six hours, when determining the TSD via conventional methods. Image analysis of corneal color after death using RGB analysis software can give us a more accurate and human error-free TSD that can be digitally stored and reproduced and, therefore, could prove useful in the forensic arena in the future. |
format | Online Article Text |
id | pubmed-8192622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-81926222021-06-11 A Cross-Sectional Study of Time Since Death From Image Analysis of Corneal Opacity Nath, Anamika Patowary, Amar J Ropmay, Amarantha Donna Slong, Daunipaia Pratim, Kumar Pinku Rymbai, Bashan Kupar Marbaniang, Rangme Betlin Yvette Cureus Pathology Estimation of time since death (TSD) is an important aspect of forensic medicine. Methods used so far are subjective and have human errors. Corneal opacity images using software to analyze the red, green, and blue (RGB) components of corneal color against the TSD may prove to be an objective method. This study aimed to estimate TSD from image analysis of corneal opacity from the cornea of deceased individuals brought in for medicolegal autopsy to study the factors affecting corneal opacity and to formulate a predictive equation for the estimation of TSD. This was a cross-sectional study conducted at the department of forensic medicine and toxicology of a tertiary care medical institute over two years. The study group included cadavers brought in for autopsy where the TSD was known from hospital records. For study tools, we used a digital single-lens reflex (DSLR) camera with standardized settings, a dark box made of cardboard, and open-access RGB analysis software. Images were analyzed for differences in the numeric values of the RGB color and compared against the TSD. Correlations between TSD and age, gender, and environmental temperature were checked. This study involved 30 cases; these were analyzed and showed an increase in the numeric values of RGB for the corneal color as the TSD increases. Of note, the correlation of TSD with the color red was greater than for either blue or green; age had a positive correlation while gender had nearly no correlation, and the environmental temperature had a negative correlation. Based on this, gender was excluded from our equation. Also, we noted that the variance inflation factor of green was high and, therefore, excluded it from the predictive equation. The equation derived follows: TSD = {(0.091 x Age) + (0.171 x Red) + (0.018 x Blue) - (0.019 x Environmental Temperature) - 5.263}. Using this equation, the mean error was 21 minutes. This equation further narrowed the time range, usually given as four to six hours, when determining the TSD via conventional methods. Image analysis of corneal color after death using RGB analysis software can give us a more accurate and human error-free TSD that can be digitally stored and reproduced and, therefore, could prove useful in the forensic arena in the future. Cureus 2021-05-11 /pmc/articles/PMC8192622/ /pubmed/34123671 http://dx.doi.org/10.7759/cureus.14975 Text en Copyright © 2021, Nath et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Pathology Nath, Anamika Patowary, Amar J Ropmay, Amarantha Donna Slong, Daunipaia Pratim, Kumar Pinku Rymbai, Bashan Kupar Marbaniang, Rangme Betlin Yvette A Cross-Sectional Study of Time Since Death From Image Analysis of Corneal Opacity |
title | A Cross-Sectional Study of Time Since Death From Image Analysis of Corneal Opacity |
title_full | A Cross-Sectional Study of Time Since Death From Image Analysis of Corneal Opacity |
title_fullStr | A Cross-Sectional Study of Time Since Death From Image Analysis of Corneal Opacity |
title_full_unstemmed | A Cross-Sectional Study of Time Since Death From Image Analysis of Corneal Opacity |
title_short | A Cross-Sectional Study of Time Since Death From Image Analysis of Corneal Opacity |
title_sort | cross-sectional study of time since death from image analysis of corneal opacity |
topic | Pathology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192622/ https://www.ncbi.nlm.nih.gov/pubmed/34123671 http://dx.doi.org/10.7759/cureus.14975 |
work_keys_str_mv | AT nathanamika acrosssectionalstudyoftimesincedeathfromimageanalysisofcornealopacity AT patowaryamarj acrosssectionalstudyoftimesincedeathfromimageanalysisofcornealopacity AT ropmayamaranthadonna acrosssectionalstudyoftimesincedeathfromimageanalysisofcornealopacity AT slongdaunipaia acrosssectionalstudyoftimesincedeathfromimageanalysisofcornealopacity AT pratimkumarpinku acrosssectionalstudyoftimesincedeathfromimageanalysisofcornealopacity AT rymbaibashankupar acrosssectionalstudyoftimesincedeathfromimageanalysisofcornealopacity AT marbaniangrangmebetlinyvette acrosssectionalstudyoftimesincedeathfromimageanalysisofcornealopacity AT nathanamika crosssectionalstudyoftimesincedeathfromimageanalysisofcornealopacity AT patowaryamarj crosssectionalstudyoftimesincedeathfromimageanalysisofcornealopacity AT ropmayamaranthadonna crosssectionalstudyoftimesincedeathfromimageanalysisofcornealopacity AT slongdaunipaia crosssectionalstudyoftimesincedeathfromimageanalysisofcornealopacity AT pratimkumarpinku crosssectionalstudyoftimesincedeathfromimageanalysisofcornealopacity AT rymbaibashankupar crosssectionalstudyoftimesincedeathfromimageanalysisofcornealopacity AT marbaniangrangmebetlinyvette crosssectionalstudyoftimesincedeathfromimageanalysisofcornealopacity |