ArticleInternational journal of legal medicine2024
A diagnostic strategy for pulmonary fat embolism based on routine H&E staining using computational pathology.
Article in International journal of legal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Digital pathology in forensic science: a systematic review of the literature.Forensic science, medicine, and pathology · 2026Pooled it
- Development of a deep learning-based tool for coronary artery stenosis evaluation in forensic autopsies using whole slide imaging.International journal of legal medicine · 2026Article
- PMI estimation with cross-species transfer learning and visual information generated by pathomics foundation model.International journal of legal medicine · 2026Article
- Case Report: Application of bronchoalveolar lavage fluid morphology in the diagnosis of pulmonary fat embolism.Frontiers in medicine · 2026Article
- iForensic, multicentric validation of digital whole slide images (WSI) in forensic histopathology setting according to the College of American Pathologists guidelines.International journal of legal medicine · 2025Article
- Commentary on "The integration and implications of artificial intelligence in forensic science".Forensic science, medicine, and pathology · 2024Article
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
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Abstract
Pulmonary fat embolism (PFE) as a cause of death often occurs in trauma cases such as fractures and soft tissue contusions. Traditional PFE diagnosis relies on subjective methods and special stains like oil red O. This study utilizes computational pathology, combining digital pathology and deep learning algorithms, to precisely quantify fat emboli in whole slide images using conventional hematoxylin-eosin (H&E) staining. The results demonstrate deep learning's ability to identify fat droplet morphology in lung microvessels, achieving an area under the receiver operating characteristic (ROC) curve (AUC) of 0.98. The AI-quantified fat globules generally matched the Falzi scoring system with oil red O staining. The relative quantity of fat emboli against lung area was calculated by the algorithm, determining a diagnostic threshold of 8.275% for fatal PFE. A diagnostic strategy based on this threshold achieved a high AUC of 0.984, similar to manual identification with special stains but surpassing H&E staining. This demonstrates computational pathology's potential as an affordable, rapid, and precise method for fatal PFE diagnosis in forensic practice.
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