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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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HISTOLOGICAL DIAGNOSIS OF DROWNING IN FORENSIC MEDICINE: A REVIEW OF CURRENT INTERNATIONAL EVIDENCE.

Authors: Ganiyeva Nilufar Khamraevna; Yunusova Shakhlo Erkinovna;

HISTOLOGICAL DIAGNOSIS OF DROWNING IN FORENSIC MEDICINE: A REVIEW OF CURRENT INTERNATIONAL EVIDENCE.

Abstract

Drowning remains one of the most complex and controversial causes of death in forensic medicine. Establishing the diagnosis of drowning is often difficult due to the absence of pathognomonic macroscopic signs and the influence of postmortem changes. In this regard, histological examination of organs and tissues plays an important role in supporting the forensic diagnosis. The aim of this review is to analyze current international scientific data on the histological criteria used in the diagnosis of drowning in forensic practice. The article summarizes the results of modern studies devoted to histopathological changes in the lungs, brain, liver, kidneys, and other organs observed in drowning cases. Particular attention is given to pulmonary edema, alveolar overdistension, the presence of foreign particles, and other microscopic findings that may indicate aspiration of water. In addition, the diagnostic value and limitations of histological examination in drowning cases are discussed. The review also highlights the importance of a comprehensive forensic approach that includes histological analysis together with autopsy findings, circumstantial evidence, and laboratory methods. The analysis of international literature demonstrates that histological examination remains an important auxiliary tool in the forensic diagnosis of drowning, although it should always be interpreted in conjunction with other forensic data.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average