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Reject Analysis in Digital Radiography and Computed Tomography: A Belgian Imaging Department Case Study Cover

Reject Analysis in Digital Radiography and Computed Tomography: A Belgian Imaging Department Case Study

Open Access
|Dec 2023

Abstract

Objective: Reject analysis is usually performed in digital radiography (DR) for quality assurance. Data for computed tomography (CT) rejects remains sparse. The aim of this study is to help provide a straightforward benchmark for reject analysis of both DR and CT.

Materials and methods: This retrospective observational study included 107,277 DR and 20,659 CT during 18 months in a tertiary care center. Rejected acquisitions were retrieved by Dose Archiving and Communication System (DACS). The DR and CT reject analysis included reject rates, reasons for rejection and supplementary radiation dose associated with these rejects.

Results: 8,904 rejected DR and 514 rejected CT were retrieved. The DR reject rate was 8.3% whereas the CT reject rate was 2.5%. The cumulative effective dose (ED) of DR rejects was 377.3 mSv while the cumulative ED of CT rejects was 1267.4 mSv. The major reason for rejects was positioning for both DR (61%) and CT (44%).

Conclusion: This study helps constitute a simple reproducible method to analyze both DR and CT rejects simultaneously. Although CT rejects are less often monitored than DR rejects, the radiation dose associated with CT rejects is much higher, which emphasizes the need to systematically monitor both DR and CT rejects. Investigating the reasons and the most frequently rejected examinations gives an opportunity for improvement of imaging techniques in cooperation with technologists.

DOI: https://doi.org/10.5334/jbsr.3259 | Journal eISSN: 2514-8281
Language: English
Submitted on: Jul 6, 2023
Accepted on: Oct 25, 2023
Published on: Dec 22, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 Laura Haddad, Hanna Saleme, Nigel Howarth, Denis Tack, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.