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Maceration determines diagnostic yield of fetal and neonatal whole body post-mortem ultrasound
Authors:Susan Cheng Shelmerdine  Dean Langan  Uday Mandalia  Neil James Sebire  Owen John Arthurs
Affiliation:1. Department of Clinical Radiology, Great Ormond Street Hospital for Children, London, UK;2. UCL Great Ormond Street Institute of Child Health, Great Ormond Street Hospital for Children, London, UK;3. 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

Abstract:

Objectives

To determine factors in nondiagnostic fetal and neonatal post-mortem ultrasound (PMUS) examinations.

Methods

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.

Results

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.

Conclusions

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.
Keywords:
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