2014
DOI: 10.1016/j.legalmed.2014.06.003
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“Blind spots” in forensic autopsy: Improved detection of retrobulbar hemorrhage and orbital lesions by postmortem computed tomography (PMCT)

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Cited by 13 publications
(5 citation statements)
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“…Autopsy, therefore, remains the gold standard when examining orbital roof fractures. The study also showed that CT is also a good tool for detecting retrobulbar hemorrhage as one of the “blind spots” in autopsy [ 19 ]. A study by the authors from France comparing postmortem CT findings with autopsy findings in a set of 236 cadavers showed a correlation in both fractures of the skull and cranial base, which is a different conclusion from previous studies and our findings.…”
Section: Discussionmentioning
confidence: 99%
“…Autopsy, therefore, remains the gold standard when examining orbital roof fractures. The study also showed that CT is also a good tool for detecting retrobulbar hemorrhage as one of the “blind spots” in autopsy [ 19 ]. A study by the authors from France comparing postmortem CT findings with autopsy findings in a set of 236 cadavers showed a correlation in both fractures of the skull and cranial base, which is a different conclusion from previous studies and our findings.…”
Section: Discussionmentioning
confidence: 99%
“…Токсикологические показатели, необходимые для установки причины смерти в результате отравления, может выявить МР-спектроскопия [24]. Использование инструментов виртопсии позволяет оценить труднодоступные участки тела и обнаружить находки, часто упускаемые при классическом вскрытии (например, ретробульбарное кровоизлияние) [33].…”
Section: виртопсия в судебно-медицинской практикеunclassified
“…CT scans of the head are not only able to show plain pathologies, such as hemorrhage, tumors and fractures, but also make it possible to derive the sequence of complex fractures and the direction of an inflicted gunshot [64][65][66]. The use of deep learning for CT scans has been investigated in several studies.…”
Section: Possible Applications Of Deep Learning Techniques In Pmctmentioning
confidence: 99%