1. Abdominal ultrasound should become part of standard care for early diagnosis and management of necrotising enterocolitis: a narrative review
- Author
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Jacqueline van Druten, Minesh Khashu, Hassan Abdalla, Saeed Sharif, and Sherwin S Chan
- Subjects
medicine.medical_specialty ,Abdominal ultrasound ,Operating procedures ,Infant, Newborn, Diseases ,030218 nuclear medicine & medical imaging ,Abdominal radiograph ,03 medical and health sciences ,0302 clinical medicine ,Necrotising enterocolitis ,Standard care ,Enterocolitis, Necrotizing ,030225 pediatrics ,medicine ,Humans ,Intensive care medicine ,Ultrasonography ,Cause of death ,business.industry ,Infant, Newborn ,Disease Management ,Obstetrics and Gynecology ,General Medicine ,digestive system diseases ,Early Diagnosis ,Pediatrics, Perinatology and Child Health ,Narrative review ,Differential diagnosis ,business - Abstract
Necrotising enterocolitis (NEC) is a leading cause of death and disability in preterm newborns. Early diagnosis through non-invasive investigations is a crucial strategy that can significantly improve outcomes. Hence, this review gives particular attention to the emerging role of abdominal ultrasound (AUS) in the early diagnosis of NEC, its performance against abdominal radiograph and the benefits of AUS use in daily practice. AUS has been used in the diagnosis and management of NEC for a couple of decades. However, its first-line use has been minimal, despite growing evidence demonstrating AUS can be a critical tool in the early diagnosis and management of NEC. In 2018, the NEC group of the International Neonatal Consortium recommended using AUS to detect pneumatosis and/or portal air in preterm NEC as part of the ‘Two out of three’ model. To facilitate widespread adoption, and future improvement in practice and outcomes, collaboration between neonatologists, surgeons and radiologists is needed to generate standard operating procedures and indications for use for AUS. The pace and scale of the benefit generated by use of AUS can be amplified through use of computer-aided detection and artificial intelligence.
- Published
- 2019
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