BACKGROUND: Reject analysis can be used as a quality indicator, and is an important tool in localizing areas where optimization is required. Reducing number of rejects is important yielding reduced patient exposure and increased cost-effectiveness. PURPOSE: To determine rejection rates and causes in direct digital radiography. MATERIAL AND METHODS: Data were collected during a three-month period in spring 2010 at two direct digital laboratories in Norway. All X-ray examinations, types, numbers, and reasons for rejections were obtained using automatic reject analysis software. Thirteen causes for rejection could be selected. RESULTS: Out of the 27,284 acquired images, 3206 were rejected, yielding an overall rejection rate of 12%. Highest rejection rates were found for examination of knees, shoulders, and wrist. In all, 77% of the rejected images arose from positioning errors. CONCLUSION: An overall rejection rate of 12% indicates a need for optimizing radiographic practice in the department.
BACKGROUND: Reject analysis can be used as a quality indicator, and is an important tool in localizing areas where optimization is required. Reducing number of rejects is important yielding reduced patient exposure and increased cost-effectiveness. PURPOSE: To determine rejection rates and causes in direct digital radiography. MATERIAL AND METHODS: Data were collected during a three-month period in spring 2010 at two direct digital laboratories in Norway. All X-ray examinations, types, numbers, and reasons for rejections were obtained using automatic reject analysis software. Thirteen causes for rejection could be selected. RESULTS: Out of the 27,284 acquired images, 3206 were rejected, yielding an overall rejection rate of 12%. Highest rejection rates were found for examination of knees, shoulders, and wrist. In all, 77% of the rejected images arose from positioning errors. CONCLUSION: An overall rejection rate of 12% indicates a need for optimizing radiographic practice in the department.
Authors: Alexander W Scott; Yifang Zhou; Janet Allahverdian; Jessica L Nute; Christina Lee Journal: J Appl Clin Med Phys Date: 2016-11-08 Impact factor: 2.102
Authors: Mohd Yusmiaidil Putera Mohd Yusof; Nur Liyana Abdul Rahman; Amiza Aqiela Ahmad Asri; Noor Ilyani Othman; Ilham Wan Mokhtar Journal: Imaging Sci Dent Date: 2017-12-12