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Updated: May 16, 2026

A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn

A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn

Published on: April 7, 2023

A pattern-based approach to bowel obstruction in the newborn.

Charles M Maxfield¹, Brett H Bartz, Jennifer L Shaffer

¹Department of Radiology, Duke University Medical Center, Box 3808, Durham, NC 27710, USA. charles.maxfield@duke.edu

Pediatric Radiology

|December 13, 2012

Summary

Newborn intestinal obstruction diagnosis is challenging. A systematic approach using eight radiographic patterns aids radiologists in managing infants, guiding treatment from medical care to emergent surgery.

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A Mouse Model of Intestinal Partial Obstruction

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Last Updated: May 16, 2026

A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn

A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn

Published on: April 7, 2023

A Mouse Model of Intestinal Partial Obstruction

A Mouse Model of Intestinal Partial Obstruction

Published on: March 5, 2018

Area of Science:

Pediatric Radiology
Gastrointestinal Imaging

Background:

Intestinal obstruction is a frequent neonatal condition requiring prompt diagnosis and management.
Radiologists are pivotal in identifying diverse pathologies, from benign to life-threatening.
Accurate diagnosis and management of neonatal intestinal obstruction are complex due to varied underlying causes.

Purpose of the Study:

To propose a systematic radiographic pattern-based approach for diagnosing and managing neonatal intestinal obstruction.
To enhance diagnostic accuracy and streamline patient triage for optimal clinical outcomes.

Main Methods:

Development of a diagnostic framework based on eight distinct radiographic patterns.
Categorization of patterns into five for upper gastrointestinal examinations (UGI) and four for contrast enema studies.
Utilizing pattern recognition to guide further imaging and clinical management decisions.

Main Results:

The proposed pattern recognition system effectively categorizes neonatal intestinal obstruction cases.
This approach facilitates appropriate triage, distinguishing between medical management, elective/urgent surgery, and emergent surgical intervention.
Radiographic pattern identification aids in directing necessary follow-up imaging studies.

Conclusions:

A systematic, pattern-based radiographic approach is crucial for effective management of neonatal intestinal obstruction.
This strategy empowers radiologists to accurately diagnose, triage, and guide treatment for affected infants.
Implementing this systematic approach can improve patient care and surgical decision-making in neonatal gastrointestinal emergencies.