Literature DB >> 29769433

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

Ehsan Samei1, Hannu Järvinen, Mika Kortesniemi, George Simantirakis, Charles Goh, Anthony Wallace, Eliseo Vano, Adrian Bejan, Madan Rehani, Jenia Vassileva.   

Abstract

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.

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Year:  2018        PMID: 29769433     DOI: 10.1088/1361-6498/aac575

Source DB:  PubMed          Journal:  J Radiol Prot        ISSN: 0952-4746            Impact factor:   1.394


  4 in total

1.  ALIGNING VIDEO-AND STRUCTURED DATA FOR IMAGING OPTIMISATION.

Authors:  Jonas Ivarsson; Anja Almén; Mårten Falkenberg; Charlotta Lundh; Magnus Båth
Journal:  Radiat Prot Dosimetry       Date:  2021-10-12       Impact factor: 0.954

2.  Statement of the Italian Association of Medical Physics (AIFM) task group on radiation dose monitoring systems.

Authors:  Francesco Ria; Loredana D'Ercole; Daniela Origgi; Nicoletta Paruccini; Luisa Pierotti; Osvaldo Rampado; Veronica Rossetti; Sabina Strocchi; Alberto Torresin
Journal:  Insights Imaging       Date:  2022-02-05

3.  Comparison of 12 surrogates to characterize CT radiation risk across a clinical population.

Authors:  Francesco Ria; Wanyi Fu; Jocelyn Hoye; W Paul Segars; Anuj J Kapadia; Ehsan Samei
Journal:  Eur Radiol       Date:  2021-02-23       Impact factor: 5.315

4.  Assessment of task-based image quality for abdominal CT protocols linked with national diagnostic reference levels.

Authors:  Anaïs Viry; Christoph Aberle; Thiago Lima; Reto Treier; Sebastian T Schindera; Francis R Verdun; Damien Racine
Journal:  Eur Radiol       Date:  2021-07-29       Impact factor: 5.315

  4 in total

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