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Outcomes after Embolization in Pediatric Abdominal Solid Organ Injury: A Trauma Center Experience.

Samarth GowdaTushar GhoshRengarajan RajagopalPawan Kumar GargPushpinder KheraArvind SinhaTaruna Yadav
Published in: The Indian journal of radiology & imaging (2024)
Background  Trauma is a significant cause of morbidity and mortality worldwide among children. Nonoperative management is the standard of care in hemodynamically stable children with blunt abdominal solid organ injury. Embolization is a potential pathway, which has shown increasing evidence for benefit in adult trauma patients. However, the data in children is limited. Materials and Methods  A retrospective analysis of hospital data of all children (<18 years of age), presenting to a tertiary-care trauma center in India, with history of blunt trauma from January 2021 to June 2023, was performed. Preprocedural imaging, angiographic and embolization details, number of blood transfusions, and length of hospital stay were assessed. Results  Two hundred and sixteen children (average age: 11.65 years) presented with a history of abdominal trauma during the study period. Eighty four children were FAST positive, out of whom, 67 patients had abdominal solid organ injury on computed tomography. Liver was the most commonly injured solid organ ( n  = 45), followed by the spleen and kidney. Ten children had solid abdominal organ arterial injuries for which eight children underwent embolization. The average length of hospital stay in embolization group ( n  = 8) was 4 days, as compared to 11 days in children undergoing operative management ( n  = 2). At 6 months follow-up, all children were asymptomatic. Conclusion  Superselective embolization is a safe and feasible procedure in appropriately selected children with abdominal injury.
Keyphrases
  • young adults
  • trauma patients
  • computed tomography
  • healthcare
  • magnetic resonance
  • big data
  • machine learning
  • minimally invasive
  • deep learning
  • positron emission tomography
  • artificial intelligence
  • data analysis