Rastegar Sajjad, Beigi Jalal, Saeidi Ehsan, Dezhkam Ali, Mobaderi Tofigh, Ghaffari Hamed, Mehdipour Ali, Abdollahi Hamid
Student Research Committee, Paramedical Faculty, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
Department of Radiology Technology, Paramedical Faculty, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
Med J Islam Repub Iran. 2019 May 29;33:49. doi: 10.34171/mjiri.33.49. eCollection 2019.
Reject analysis is as a quality indicator and critical tool for dose and image quality optimization in radiology departments. By reducing image rejection rate (RR), radiation dose to patients can be reduced effectively, yielding increased total cost-effectiveness. The aims of this study were to assess the rate of image rejection at 2 direct digital radiography (DR) departments to find the sources of rejection and to observe how radiology students and radiographers deal with image rejection. Two radiology departments were surveyed during a 3-month period for all imaging procedures. Type of examination, numbers, and reasons for digital image rejection were obtained by systems and questionnaire. A predefined questionnaire, including 13 causes for rejection, was filled by radiographers and students. Out of the 14 022 acquired images, 1116 were rejected, yielding an overall RR of 8%. Highest RRs were found for examination of cervical spine and lumbosacral. Positioning errors and improper patient preparation were the main reasons for digital image rejection. The image RR was small, but there is a need for optimizing radiographic practice, and enhancing radiographer's knowledge may enhance the performance.
拒收分析作为一种质量指标，是放射科剂量和图像质量优化的关键工具。通过降低图像拒收率（RR），可以有效降低患者的辐射剂量，提高总体成本效益。本研究的目的是评估两个直接数字化X线摄影（DR）科室的图像拒收率，找出拒收原因，并观察放射科学生和放射技师如何处理图像拒收情况。在3个月的时间里，对两个放射科的所有成像程序进行了调查。通过系统和问卷调查获取检查类型、数字图像拒收的数量和原因。放射技师和学生填写了一份预定义的问卷，其中包括13个拒收原因。在采集的14022幅图像中，有1116幅被拒收，总体RR为8%。颈椎和腰骶部检查的RR最高。定位错误和患者准备不当是数字图像拒收的主要原因。图像RR虽小，但仍需要优化放射摄影操作，提高放射技师的知识水平可能会提升其表现。
