Analysis of image repetition rates and causes in digital radiology
Abstract Background The percentage of repeated images reflects both image quality and the unnecessary exposure of patients to X-rays. Before the digitalization of radiology systems, studying image repetition was common. However, since the transition to digital radiography, there have been fewer studies on this subject, likely because many believe that digital technology has removed the problem of image repetition. Aim of the study This study aimed to investigate the rate of repeat radiographs in the digital radiography (DR) imaging department and its reasons. Methods A retrospective analysis was performed on radiographs taken during morning and evening shifts at two hospitals in April and May 2025. The analysis focused on the overall repeat rate, the repeat rates for each type of examination, and the reasons for the repeat radiographs. Results Of the total 2192 radiographs, 186 were repeated. From the data analysis, the overall average repeated image rate was 8.5%, and the most common reasons for image rejection were positioning error (48.91%) and centering error (18.81%). The rate of repetition varied for different examination types and patients in different age groups. Conclusion Digital radiography systems demonstrated a lower repeat rate compared to traditional radiographs. The primary cause of repeated images was errors in positioning and centering, which are linked to the radiographer's performance. Implementing regular retraining programs for radiographers may help decrease the repeat rate.
Authors
- Mohammad Abdolahi (ORCID: https://orcid.org/0000-0002-0386-4918)
- Akbar Adelnia
Institutions
- Bushehr University of Medical Sciences (IR)
Publication Details
- Journal
- The Egyptian Journal of Radiology and Nuclear Medicine
- Published
- 2025-10-29
- DOI
- https://doi.org/10.1186/s43055-025-01620-z
- Primary Topic
- Digital Radiography and Breast Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Bushehr University of Medical Sciences