4 October 2017 Patient dose monitoring and the use of diagnostic reference levels for the optimization of protection in medical imaging: current status and challenges worldwide
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Abstract
Optimization is one of the key concepts of radiation protection in medical imaging. In practice, it involves compromising between the image quality and dose to the patient; the dose should not be higher than necessary to achieve an image quality (or diagnostic information) needed for the clinical task. Monitoring patient dose is a key requirement toward optimization. The concept of diagnostic reference level (DRL) was introduced by the International Commission on Radiological Protection as a practical tool for optimization. Unfortunately, this concept has not been applied consistently worldwide. To review the current strengths and weaknesses worldwide and to promote improvements, the International Atomic Energy Agency organized a Technical Meeting on patient dose monitoring and the use of DRLs on May 2016. This paper reports a summary of the findings and conclusions from the meeting. The strengths and weaknesses were generally different in less-developed countries compared with developed countries. Possible improvements were suggested in six areas: human resources and responsibilities, training, safety and quality culture, regulations, funding, and tools and methods. An overall conclusion was that radiation protection requires a patient-centric approach and a transfer from purely reactive to increasingly proactive optimization, whereby the best outcome is expected from good teamwork.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Hannu Järvinen, Hannu Järvinen, Jenia Vassileva, Jenia Vassileva, Ehsan Samei, Ehsan Samei, Anthony Wallace, Anthony Wallace, Eliseo Vano, Eliseo Vano, Madan Rehani, Madan Rehani, } "Patient dose monitoring and the use of diagnostic reference levels for the optimization of protection in medical imaging: current status and challenges worldwide," Journal of Medical Imaging 4(3), 031214 (4 October 2017). https://doi.org/10.1117/1.JMI.4.3.031214 . Submission: Received: 12 April 2017; Accepted: 26 September 2017
Received: 12 April 2017; Accepted: 26 September 2017; Published: 4 October 2017
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