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Eur Radiol ; 23(6): 1711-9, 2013 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-23242003

RESUMEN

OBJECTIVES: To investigate the contribution of whole-body post-mortem computed tomography (PMCT) in sudden unexpected death in infants and children. METHODS: Forty-seven cases of sudden unexpected death in children investigated with radiographic skeletal survey, whole-body PMCT and autopsy were enrolled. For imaging interpretation, non-specific post-mortem modifications and abnormal findings related to the presumed cause of death were considered separately. All findings were correlated with autopsy findings. RESULTS: There were 31 boys and 16 girls. Of these, 44 children (93.6 %) were younger than 2 years. The cause of death was found at autopsy in 18 cases (38.3 %), with 4 confirmed as child abuse, 12 as infectious diseases, 1 as metabolic disease and 1 as bowel volvulus. PMCT results were in accordance with autopsy in all but three of these 18 cases. Death remains unexplained in 29 cases (61.7 %) and was correlated with no abnormal findings on PMCT in 27 cases. Major discrepancies between PMCT and autopsy findings concerned pulmonary analysis. CONCLUSIONS: Whole-body PMCT may detect relevant findings that can help to explain sudden unexpected death and is essential for detecting non-accidental injuries. We found broad concordance between autopsy and PMCT, except in a few cases of pneumonia. It is a non-invasive technique acceptable to relatives. KEY POINTS: • Whole-body post-mortem computed tomography (PMCT) is an effective non-invasive method. • Whole-body PMCT is essential for detecting child abuse in unexpected death. • There is concordance on cause of death between PMCT and autopsy. • Whole-body PMCT could improve autopsy through dissection and sampling guidance. • PMCT shows findings that may be relevant when parents reject autopsy.


Asunto(s)
Muerte Súbita/etiología , Tomografía Computarizada por Rayos X/métodos , Autopsia , Causas de Muerte , Niño , Maltrato a los Niños , Preescolar , Femenino , Cabeza/patología , Humanos , Lactante , Masculino , Interpretación de Imagen Radiográfica Asistida por Computador , Factores de Tiempo , Imagen de Cuerpo Entero/métodos
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