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Society for Pediatric Radiology – Poster Archive
Final ID: Poster #: EDU-010
The Extremely Low Gestational Age Infants: Neuro Sonography of Normal Brain and Complications.
Purpose or Case Report: Advances in Neonatal Intensive Care have led to substantial improvement in survival of preterm infants of extremely low gestational age (ELGA) between 22+0 and 23+6 weeks gestation. ELGA newborns are more susceptible to several complications of prematurity. Recognition of the sonographic features of the normal brain and identification of potential short and long-term complications of these infants is paramount.
High resolution transfontanellar ultrasonography is the baseline “gold standard” of care imaging modality to assess the integrity of the neonatal brain and potential complications encountered in ELGA newborns. Color and spectral Doppler US allows high reliability and precision in the evaluation of the intracranial vasculature.
The purpose of this exhibit is
1. To illustrate a spectrum of the sonographic features of the normal developing brain in ELGA infants.
2. To characterize the sonographic findings of short and long-term brain anatomical complications.
3. To describe common pitfalls when imaging these infants.
Methods & Materials:
Results:
Conclusions:
High resolution transfontanellar ultrasonography is the baseline “gold standard” of care imaging modality to assess the integrity of the neonatal brain and potential complications encountered in ELGA newborns. Color and spectral Doppler US allows high reliability and precision in the evaluation of the intracranial vasculature.
The purpose of this exhibit is
1. To illustrate a spectrum of the sonographic features of the normal developing brain in ELGA infants.
2. To characterize the sonographic findings of short and long-term brain anatomical complications.
3. To describe common pitfalls when imaging these infants.
Methods & Materials:
Results:
Conclusions:
More abstracts on this topic:
Breast Ultrasounds in the Children's Hospital Emergency Department
Gleason Miranda, Moredock Elisabeth, Parish David, Pfeifer Cory
Assessment of Germinal Matrix Hemorrhage on Cranial Ultrasound with Deep Learning AlgorithmsKim Kevin, Nowrangi Rajeev, Mcgehee Arianna, Joshi Neil, Acharya Patricia
Poster____EDU-010.pdf
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