Diagnostic Reference Levels based on clinical indications in computed tomography: a literature review.

Clinical indications Computed tomography Computed tomography dose descriptors Diagnostic Reference Levels

Journal

Insights into imaging
ISSN: 1869-4101
Titre abrégé: Insights Imaging
Pays: Germany
ID NLM: 101532453

Informations de publication

Date de publication:
17 Aug 2020
Historique:
received: 17 06 2020
accepted: 21 07 2020
entrez: 18 8 2020
pubmed: 18 8 2020
medline: 18 8 2020
Statut: epublish

Résumé

In August 2017, the European Commission awarded the "European Study on Clinical Diagnostic Reference levels for X-ray Medical Imaging" project to the European Society of Radiology, to provide up-to-date Diagnostic Reference Levels based on clinical indications. The aim of this work was to conduct an extensive literature review by analysing the most recent studies published and the data provided by the National Competent Authorities, to understand the current situation regarding Diagnostic Reference Levels based on clinical indications for computed tomography. The literature review has identified 23 papers with Diagnostic Reference Levels based on clinical indications for computed tomography from 15 countries; 12 of them from Europe. A total of 28 clinical indications for 6 anatomical areas (head, cervical spine/neck, chest, abdomen, abdomen-pelvis, chest-abdomen-pelvis) have been identified. In all the six anatomical areas for which Diagnostic Reference Levels based on clinical indications were found, a huge variation of computed tomography dose descriptor values was identified, providing evidence for a need to develop strategies to standardise and optimise computed tomography protocols.

Sections du résumé

BACKGROUND BACKGROUND
In August 2017, the European Commission awarded the "European Study on Clinical Diagnostic Reference levels for X-ray Medical Imaging" project to the European Society of Radiology, to provide up-to-date Diagnostic Reference Levels based on clinical indications. The aim of this work was to conduct an extensive literature review by analysing the most recent studies published and the data provided by the National Competent Authorities, to understand the current situation regarding Diagnostic Reference Levels based on clinical indications for computed tomography.
RESULTS RESULTS
The literature review has identified 23 papers with Diagnostic Reference Levels based on clinical indications for computed tomography from 15 countries; 12 of them from Europe. A total of 28 clinical indications for 6 anatomical areas (head, cervical spine/neck, chest, abdomen, abdomen-pelvis, chest-abdomen-pelvis) have been identified.
CONCLUSIONS CONCLUSIONS
In all the six anatomical areas for which Diagnostic Reference Levels based on clinical indications were found, a huge variation of computed tomography dose descriptor values was identified, providing evidence for a need to develop strategies to standardise and optimise computed tomography protocols.

Identifiants

pubmed: 32804275
doi: 10.1186/s13244-020-00899-y
pii: 10.1186/s13244-020-00899-y
pmc: PMC7431477
doi:

Types de publication

Journal Article

Langues

eng

Pagination

96

Subventions

Organisme : European Commission
ID : ENER/2017/NUCL/SI2.759174

Investigateurs

Monika Hierath (M)
Jonathan Clark (J)

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Auteurs

Graciano Paulo (G)

ESTESC - Coimbra Health School, Medical Imaging and Radiotherapy Department, Instituto Politécnico de Coimbra, Rua 5 de Outubro, S. Martinho do Bispo, 3046-854, Coimbra, Portugal. graciano@estescoimbra.pt.

John Damilakis (J)

School of Medicine, University of Crete, Iraklion, Crete, Greece.

Virginia Tsapaki (V)

Konstantopoulio General Hospital, Athens, Greece.

Alexander A Schegerer (AA)

Department of Medical and Occupational Radiation Protection, Federal Office for Radiation Protection, Neuherberg, Germany.
Radiation Protection and Image Processing Systems, Hirslanden AG, Glattpark, Switzerland.

Jacques Repussard (J)

International Consultant, St Nom la Bretèche, France.

Werner Jaschke (W)

Department of Radiology, Medical University Innsbruck, Innsbruck, Austria.

Guy Frija (G)

Paris Descartes University, Paris, France.

Classifications MeSH