ArticleForensic sciences research2021
Postmortem chest computed tomography for the diagnosis of drowning: a feasibility study.
Article in Forensic sciences research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 14 citations in OpenAlex.
- Analysis of Forensic and Drowning Death Studies Using VOSviewer: A Bibliometric Study.Acta medica Philippina · 2026Article
- Optimization of Postprocessing parameters for abdominal Forensic CT scans.Forensic science international. Synergy · 2024Article
- Diatom-Positive Cadaver: Drowning or Homicide?Cureus · 2021Article
- Research advances in forensic diatom testing.Forensic sciences research · 2020Review
- Contribution of computed tomography in the postmortem diagnosis of drowning: a systematic review.Radiologia brasileiraReview
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It may be difficult to distinguish the cause of death in drowning cases without specific findings. The aim of this study was to explore the forensic value of thoracic postmortem computed tomography (PMCT) using routine images and three-dimensional (3D) image reconstructions. The imaging data of PMCT examinations of six drowning cadavers, aged 21-54 years, were analyzed. Twelve victims of sudden death from coronary artery disease (CAD) were chosen as a control group. After 3D bilateral lung images were reconstructed using image processing software, an interactive medical image control system was used to measure and analyze parameters including lung volume, lung volume ratio, mean CT value of the whole lung, and lung CT value distribution curves. Lung volume and lung volume ratio were used to assess the shape changes of the lung. Lung CT value distribution curves showed the corresponding number of pixels of the different CT values in the lung image. Lung volume was not significantly larger in drowning cases (mean 2 958 cm
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