Maceration determines diagnostic yield of fetal and neonatal whole body post-mortem ultrasound.


Journal

Prenatal diagnosis
ISSN: 1097-0223
Titre abrégé: Prenat Diagn
Pays: England
ID NLM: 8106540

Informations de publication

Date de publication:
01 2020
Historique:
received: 11 09 2019
revised: 07 11 2019
accepted: 08 11 2019
pubmed: 20 11 2019
medline: 9 2 2021
entrez: 20 11 2019
Statut: ppublish

Résumé

To determine factors in nondiagnostic fetal and neonatal post-mortem ultrasound (PMUS) examinations. All fetal and neonatal PMUS examinations were included over a 5-year study period (2014-2019). Nondiagnostic image quality by body parts (brain, spine, thorax, cardiac, and abdomen) was recorded and correlated with patient variables. Descriptive statistics and logistic regression analyses were performed to identify significant factors for nondiagnostic studies. Two hundred sixty-five PMUS examinations were included, with median gestational age of 22 weeks (12-42 wk), post-mortem weight of 363 g (16-4033 g), and post-mortem interval of 8 days (0-39 d). Diagnostic imaging quality was achieved for 178/265 (67.2%) studies. It was high for abdominal (263/265, 99.2%), thoracic (264/265, 99.6%), and spine (265/265, 100%) but lower for brain (210/265, 79.2%) and cardiac imaging (213/265, 80.4%). Maceration was the best overall predictor for nondiagnostic imaging quality (P < .0001). Post-mortem fetal weight was positively associated with cardiac (P = .0133) and negatively associated with brain imaging quality (P = .0002). Post-mortem interval was not a significant predictor. Fetal maceration was the best predictor for nondiagnostic PMUS, particularly for brain and heart. Fetuses with marked maceration and suspected cardiac or brain anomalies should be prioritised for post-mortem MRI.

Identifiants

pubmed: 31743482
doi: 10.1002/pd.5615
pmc: PMC7028035
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

232-243

Subventions

Organisme : Department of Health
ID : 14/168/02
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R002118/1
Pays : United Kingdom
Organisme : Department of Health
ID : NIHR-CDF-2017-10-037
Pays : United Kingdom
Organisme : Department of Health
ID : CDF-2017-10-037
Pays : United Kingdom
Organisme : Department of Health
ID : NIHR-CS-012-002
Pays : United Kingdom

Informations de copyright

© 2019 The Authors. Prenatal Diagnosis published by John Wiley & Sons Ltd.

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Auteurs

Susan Cheng Shelmerdine (SC)

Department of Clinical Radiology, Great Ormond Street Hospital for Children, London, UK.
UCL Great Ormond Street Institute of Child Health, Great Ormond Street Hospital for Children, London, UK.

Dean Langan (D)

UCL Great Ormond Street Institute of Child Health, Great Ormond Street Hospital for Children, London, UK.

Uday Mandalia (U)

Department of Clinical Radiology, Great Ormond Street Hospital for Children, London, UK.

Neil James Sebire (NJ)

UCL Great Ormond Street Institute of Child Health, Great Ormond Street Hospital for Children, London, UK.
Department of Histopathology, Great Ormond Street Hospital for Children, London, UK.

Owen John Arthurs (OJ)

Department of Clinical Radiology, Great Ormond Street Hospital for Children, London, UK.
UCL Great Ormond Street Institute of Child Health, Great Ormond Street Hospital for Children, London, UK.

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Classifications MeSH