Radiomic analysis of postmortem lung changes: a PMCT-based approach for estimating the postmortem interval
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View abstract on PubMed
Summary
This summary is machine-generated.Radiomic features from postmortem CT scans can help estimate the postmortem interval (PMI). Specific lung radiomic features show significant changes over time, offering a new quantitative method for forensic investigations.
Area Of Science
- Forensic Radiology
- Medical Imaging
- Computational Pathology
Background
- Estimating the postmortem interval (PMI) is critical in forensic medicine.
- Traditional methods for PMI estimation have limitations.
- Quantitative imaging techniques offer potential for improved accuracy.
Purpose Of The Study
- To investigate the utility of radiomic features from postmortem computed tomography (PMCT) scans of the lungs for PMI estimation.
- To identify specific radiomic features that correlate with postmortem changes in the lungs.
- To evaluate the potential of radiomics as a complementary tool in forensic investigations.
Main Methods
- Sequential PMCT scans were acquired from 17 bodies with known postmortem intervals (4-108 hours).
- Radiomic features were extracted from lung tissues.
- A mixed-effects model was used to analyze the relationship between radiomic features and PMI, testing four model variants.
Main Results
- Twelve distinct radiomic features showed statistically significant trends with the postmortem interval.
- Features such as cluster shade (GLCM) decreased, median intensity increased, and root mean squared features decreased over time.
- The identified features included first-order statistics, shape, and second-order texture attributes, reflecting lung alterations like gas formation.
Conclusions
- PMCT-based radiomics shows promise as a complementary tool for postmortem interval estimation.
- Quantitative imaging analysis can enhance the accuracy of forensic investigations.
- Radiomic features provide objective data reflecting postmortem changes in the lungs.
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