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Medical imaging dose optimisation from ground up: expert opinion of an international summit.

Publication ,  Journal Article
Samei, E; Järvinen, H; Kortesniemi, M; Simantirakis, G; Goh, C; Wallace, A; Vano, E; Bejan, A; Rehani, M; Vassileva, J
Published in: J Radiol Prot
September 2018

As in any medical intervention, there is either a known or an anticipated benefit to the patient from undergoing a medical imaging procedure. This benefit is generally significant, as demonstrated by the manner in which medical imaging has transformed clinical medicine. At the same time, when it comes to imaging that deploys ionising radiation, there is a potential associated risk from radiation. Radiation risk has been recognised as a key liability in the practice of medical imaging, creating a motivation for radiation dose optimisation. The level of radiation dose and risk in imaging varies but is generally low. Thus, from the epidemiological perspective, this makes the estimation of the precise level of associated risk highly uncertain. However, in spite of the low magnitude and high uncertainty of this risk, its possibility cannot easily be refuted. Therefore, given the moral obligation of healthcare providers, 'first, do no harm,' there is an ethical obligation to mitigate this risk. Precisely how to achieve this goal scientifically and practically within a coherent system has been an open question. To address this need, in 2016, the International Atomic Energy Agency (IAEA) organised a summit to clarify the role of Diagnostic Reference Levels to optimise imaging dose, summarised into an initial report (Järvinen et al 2017 Journal of Medical Imaging 4 031214). Through a consensus building exercise, the summit further concluded that the imaging optimisation goal goes beyond dose alone, and should include image quality as a means to include both the benefit and the safety of the exam. The present, second report details the deliberation of the summit on imaging optimisation.

Duke Scholars

Published In

J Radiol Prot

DOI

EISSN

1361-6498

Publication Date

September 2018

Volume

38

Issue

3

Start / End Page

967 / 989

Location

England

Related Subject Headings

  • Risk
  • Radiation Dosage
  • Practice Guidelines as Topic
  • Nuclear Medicine & Medical Imaging
  • International Agencies
  • Humans
  • Diagnostic Imaging
  • 3202 Clinical sciences
  • 1103 Clinical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Samei, E., Järvinen, H., Kortesniemi, M., Simantirakis, G., Goh, C., Wallace, A., … Vassileva, J. (2018). Medical imaging dose optimisation from ground up: expert opinion of an international summit. J Radiol Prot, 38(3), 967–989. https://doi.org/10.1088/1361-6498/aac575
Samei, Ehsan, Hannu Järvinen, Mika Kortesniemi, George Simantirakis, Charles Goh, Anthony Wallace, Eliseo Vano, Adrian Bejan, Madan Rehani, and Jenia Vassileva. “Medical imaging dose optimisation from ground up: expert opinion of an international summit.J Radiol Prot 38, no. 3 (September 2018): 967–89. https://doi.org/10.1088/1361-6498/aac575.
Samei E, Järvinen H, Kortesniemi M, Simantirakis G, Goh C, Wallace A, et al. Medical imaging dose optimisation from ground up: expert opinion of an international summit. J Radiol Prot. 2018 Sep;38(3):967–89.
Samei, Ehsan, et al. “Medical imaging dose optimisation from ground up: expert opinion of an international summit.J Radiol Prot, vol. 38, no. 3, Sept. 2018, pp. 967–89. Pubmed, doi:10.1088/1361-6498/aac575.
Samei E, Järvinen H, Kortesniemi M, Simantirakis G, Goh C, Wallace A, Vano E, Bejan A, Rehani M, Vassileva J. Medical imaging dose optimisation from ground up: expert opinion of an international summit. J Radiol Prot. 2018 Sep;38(3):967–989.
Journal cover image

Published In

J Radiol Prot

DOI

EISSN

1361-6498

Publication Date

September 2018

Volume

38

Issue

3

Start / End Page

967 / 989

Location

England

Related Subject Headings

  • Risk
  • Radiation Dosage
  • Practice Guidelines as Topic
  • Nuclear Medicine & Medical Imaging
  • International Agencies
  • Humans
  • Diagnostic Imaging
  • 3202 Clinical sciences
  • 1103 Clinical Sciences