Work

Positional Challenges of the Anteroposterior Pelvic X‐Ray: Comparison of Imaging Reject Rates Between Trauma Trolley and Table Bucky

Year: 2025

Type: article

Abstract: INTRODUCTION: Pelvic x-rays can be conducted on a trauma trolley or conventional table bucky. The aim of this study was to compare the positional challenges and reject rate between pelvic x-ray images taken on a trauma trolley and a table bucky during a 12-month period in an Australian public metropolitan hospital's emergency department and to determine the accuracy rate of anatomical inclusion via a qualitative assessment of pelvic x-rays using a modified Visual Grading Scale (VGS). METHODS: A retrospective clinical audit of pelvic x-ray image reject rates over a 12-month period was conducted for an emergency department at an Australian hospital. Reject rate and anatomical cut-off were compared between images taken on a trauma trolley and a table bucky using independent samples t-test. RESULTS: A total of 1847 patients who underwent pelvic x-ray examinations were included in the study. The mean reject rate and the first exposure accuracy of pelvis x-rays taken on a trauma trolley were 35.5% and 56.7% respectively, while the mean reject rate and the first exposure accuracy for images taken on a table bucky were 18.8% and 81.8%, respectively (p < 0.01). The superior and lateral anatomy cut-off were the major causes of image rejection for both techniques. CONCLUSIONS: Pelvic x-rays taken on a trauma trolley had a significantly higher reject rate and lower first exposure accuracy compared with those taken on an x-ray table. Future studies could involve implementing strategies to reduce the reject rate of pelvic x-rays taken on trauma trolleys.

Source: Journal of Medical Radiation Sciences

DOI: 10.1002/jmrs.70004

Authors: Sangdon Lee, Frances Gray, Yobelli Jimenez, Susan Said, Cameron Moore

Institutions: The University of Sydney, Westmead Hospital

Language: English

Topic: Radiology practices and education

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,930