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Eur J Radiol ; 81(7): 1667-75, 2012 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-21531519

RESUMO

INTRODUCTION: The number of parents agreeing to autopsy following stillbirth is declining, which has undermined clinicians' ability to assess causes of intrauterine death and can impact counselling regarding recurrence. Post-mortem radiological imaging is a potential alternative method of investigating perinatal loss. The aim of this study was to assess the role of multi-detector computed tomography (MDCT) in the investigation of stillbirth. STUDY DESIGN: Following ethical approval and written consent, parents were offered MDCT of the stillborn infant. MDCT was performed with 3D reconstruction, and images were analysed for image quality, anthropomorphic measurements and pathologic findings. Body part and organ-specific measurements were performed; including head, chest and abdominal circumferences, and muscle and liver mass was also measured. Findings were correlated with obstetric history, post-mortem skeletal survey (plain radiography), and formal autopsy. RESULTS: Fourteen third-trimester stillborn infants were scanned. Image quality was moderate to excellent for most body structures. CT was better than plain radiography for imaging skeletal structures and large solid organs and demonstrated a range of pathologies including renal vein thrombosis, mesenteric calcification and skeletal hyperostosis that were not seen on plain radiographs. MDCT did not overlook autopsy findings and provided some additional information. CONCLUSION: This study confirms the feasibility of MDCT in the investigation of third trimester stillbirth. MDCT image quality is acceptable and the examination can demonstrate a range of anatomic and pathologic findings. Initially, its value may be as an important adjunct to conventional autopsy.


Assuntos
Autopsia/métodos , Natimorto , Tomografia Computadorizada por Raios X/métodos , Causas de Morte , Estudos de Viabilidade , Feminino , Humanos , Recém-Nascido , Gravidez , Terceiro Trimestre da Gravidez , Interpretação de Imagem Radiográfica Assistida por Computador , Estudos Retrospectivos , Estatísticas não Paramétricas
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