Multidisciplinary team training reduces the error rate of DXA image

Eui Yub Jung, Seong-jin Park, Hyang E. Shim, Young Jung Cho, Jung Mi Lee,Sung-sahn Lee,Dong Jin Ryu,Junseok W. Hur,Yerl-Bo Sung

Archives of Osteoporosis(2020)

引用 3|浏览7
暂无评分
摘要
Summary Establishing the hospital’s own standard operating procedures (SOPs) and team training including physicians and technologists reduces the error rate of dual-energy X-ray absorptiometry (DXA) measurement. In addition, when monitoring DXA images, it is necessary to check whether region of interest (ROI) and bone mapping are properly set as well as patient positioning. Introduction Physicians often experience poor quality DXA images, which affects osteoporosis treatment. The purpose of this study is to analyze the change in the error rate of DXA images after a multidisciplinary team training including physicians and technologists. Methods Experienced physicians and DXA technologists formed a training team to establish SOPs for DXA measurement. The training team instructed the other related hospital personnel for a month. We set the criteria of measurement errors (9 items for the lumbar spine image and 8 items for the proximal femur image). With these criteria, a total of 637 images (320 images before training and 317 images after training) were analyzed to check the frequency and distribution of errors before and after training. Results The most common error when measuring the lumbar spine image before training was inadequate bone mapping (51.9%), and when measuring the proximal femur image was the incorrect area of the ROI of the femoral neck (37.2%). The most improved error after training was inadequate bone mapping (33.3% improvement) in the lumbar spine image and inadequate internal rotation (13.6% improvement) in the proximal femur image. Errors were significantly reduced by 23.2% in the lumbar spine, 9.0% in the proximal femur, and 9.2% in both the regions. Conclusions Establishing SOPs and multidisciplinary team training effectively reduced the error rate of DXA images.
更多
查看译文
关键词
Osteoporosis, Dual-energy X-ray absorptiometry, Error, Multidisciplinary, Training
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要