ArticleBiology2022
Application of Micro-Computed Tomography for the Estimation of the Post-Mortem Interval of Human Skeletal Remains.
Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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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
9 citing papers in PubMed, 14 citations in OpenAlex.
- Post-mortem interval estimation of skeletal remains using spectroscopic analysis: a systematic review.International journal of legal medicine · 2026Review
- Task-Specific Multimodal Imaging and Spectroscopy for Post-Mortem Interval Assessment in Human Skeletal Remains: An Exploratory Decision-Support Framework.Diagnostics (Basel, Switzerland) · 2026Article
- Advancements in High-Resolution Computed Tomography: Revolutionising Bone Health Micro-Research.Bioengineering (Basel, Switzerland) · 2025Article
- Unveiling the Forensic Potential of Oral and Nasal Microbiota in Post-Mortem Interval Estimation.International journal of molecular sciences · 2025Article
- Handheld hyperspectral imaging as a tool for the post-mortem interval estimation of human skeletal remains.Heliyon · 2024Article
- Review
- Morphological and Tissue Characterization with 3D Reconstruction of a 350-Year-Old AustrianBiology · 2023Article
- Post-Mortem Interval and Microbiome Analysis through 16S rRNA Analysis: A Systematic Review.Diagnostics (Basel, Switzerland) · 2022Review
- Combining with lab-on-chip technology and multi-organ fusion strategy to estimate post-mortem interval of rat.Frontiers in medicine · 2022Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is challenging to estimate the post-mortem interval (PMI) of skeletal remains within a forensic context. As a result of their interactions with the environment, bones undergo several chemical and physical changes after death. So far, multiple methods have been used to follow up on post-mortem changes. There is, however, no definitive way to estimate the PMI of skeletal remains. This research aimed to propose a methodology capable of estimating the PMI using micro-computed tomography measurements of 104 human skeletal remains with PMIs between one day and 2000 years. The present study indicates that micro-computed tomography could be considered an objective and precise method of PMI evaluation in forensic medicine. The measured parameters show a significant difference regarding the PMI for Cort Porosity p < 0.001, BV/TV p > 0.001, Mean1 p > 0.001 and Mean2 p > 0.005. Using a machine learning approach, the neural network showed an accuracy of 99% for distinguishing between samples with a PMI of less than 100 years and archaeological samples.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.