Rationale and Objectives
The aim of this study was to determine whether resident performance in head ultrasound
on neonates improves following brain phantom simulation training.
Materials and Methods
Ten junior radiology residents with at least one year of radiology training were divided
into two equal groups. Both groups received a detailed head ultrasound protocol sheet
and observed a technologist perform a head ultrasound on a neonatal patient at the
beginning of their first pediatric radiology rotation. Both groups of residents also
received teaching with a brain phantom model. Group A residents independently performed
one head ultrasound exam, subsequently received phantom simulation training, and then
performed a post-training head ultrasound exam. Group B residents received phantom
simulation training prior to their first head ultrasound exam. Three pediatric radiologists
independently and blindly reviewed the ultrasound images of each head ultrasound exam
for proficiency of image acquisition using a validated scoring system. Scores of Group
A residents prior to phantom training were compared to their scores after phantom
training as well as to scores of Group B residents using simple linear regression.
Results
There was a statistically significant improvement in the performance of head ultrasound
on neonates when comparing the same residents pre- and postphantom training (p = 0.003). Residents who initially trained with the phantom performed significantly
better on their first head ultrasound examination on a neonate than those residents
who did not (p = 0.005).
Conclusion
Our novel head ultrasound phantom training model significantly improves radiology
resident performance of head ultrasound on neonates and may, therefore, be beneficial
for residency education.
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Article info
Publication history
Published online: August 04, 2020
Accepted:
June 18,
2020
Received in revised form:
June 17,
2020
Received:
May 16,
2020
Identification
Copyright
© 2020 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.
