REJECT-REPEAT ANALYSIS OF RADIOGRAPHS IN DIGITAL COMPUTED RADIOGRAPHY (CR) UNIVERSITY OF ABUJA TEACHING HOSPITAL, NIGERIA.

Abstract

Background: Repeat-Reject Analysis (RRA) is a quality indicator and a critical tool for dose and image quality optimization in Radiology Departments. Aim: This study was aimed at evaluating the reject-repeat analysis of radiographs in digital computed radiography (CR) at the University of Abuja Teaching Hospital, Nigeria. Materials and Methods: The study was a prospective, cross-sectional design. The study was conducted at the Department of Radiology, University of Abuja st st Teaching Hospital (UATH), Gwagwalada, from 1 September 2020 to 31 March 2021. All the rejected-repeated images were used during the study period; 377 images were rejected. An adapted data capture sheet was used from the quality assurance workbook for Radiographers and Radiological Technologists. The obtained data was analyzed using micro soft excel and statistical package for social sciences (SPSS) version 22.0. Result: Out of the total of 1362 images that were acquired during the study period, 377 images were rejected. The overall repeat-reject rate was 27.67%. The highest examination was the chest 560 (41.375), followed by lower extremities 41 (10.87%). The lowest examinations were the paranasal sinuses 1 (0.26%) and Thoracic spine 2 (0.52%). The pelvic/hips had the highest repeat-reject rate 28 (52.82%), followed by the lumbosacral spine 29 (49.15%) and then post-nasal space 16 (47.05%) respectively. Conclusion: In this study, the overall repeat-reject rate was higher than the acceptable limit. The chest has the highest number of examinations. The pelvic/hips had the highest repeat-reject rate, followed by the lumbosacral spine and post-nasal space respectively.