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Optimization of radiation protection using diagnostic reference values : current approaches and future directions

Almén, Anja LU (2026) In Radiation Protection Dosimetry 202(3-4). p.243-250
Abstract

Diagnostic reference levels (DRLs) were introduced as a tool to optimize radiation protection in medical imaging. Conditions for dose assessment have evolved significantly. This study explores how effectively the current DRL system functions and whether it requires adjustment. The analysis focuses on the national DRL system in Sweden and includes European projects and guidelines for reference. The variability in typical doses has decreased. National DRL values have been lowered; however, values in nuclear medicine have seen minimal change. These developments present challenges in revising the values. The increased availability of digital data offers both opportunities and challenges. The DRL system may include specific indications,... (More)

Diagnostic reference levels (DRLs) were introduced as a tool to optimize radiation protection in medical imaging. Conditions for dose assessment have evolved significantly. This study explores how effectively the current DRL system functions and whether it requires adjustment. The analysis focuses on the national DRL system in Sweden and includes European projects and guidelines for reference. The variability in typical doses has decreased. National DRL values have been lowered; however, values in nuclear medicine have seen minimal change. These developments present challenges in revising the values. The increased availability of digital data offers both opportunities and challenges. The DRL system may include specific indications, larger patient cohorts, and consideration of patient size. To remain relevant, the DRL system must be updated to reflect changes in clinical practice. The integration of image quality assessment into the DRL framework is one critical area that requires further development.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Radiation Protection Dosimetry
volume
202
issue
3-4
pages
8 pages
publisher
Oxford University Press
external identifiers
  • pmid:41821445
  • scopus:105032770062
ISSN
0144-8420
DOI
10.1093/rpd/ncaf106
language
English
LU publication?
yes
id
3cef6801-5e95-496b-a67a-fdf3f0c5bf86
date added to LUP
2026-04-21 10:00:31
date last changed
2026-04-22 03:00:06
@article{3cef6801-5e95-496b-a67a-fdf3f0c5bf86,
  abstract     = {{<p>Diagnostic reference levels (DRLs) were introduced as a tool to optimize radiation protection in medical imaging. Conditions for dose assessment have evolved significantly. This study explores how effectively the current DRL system functions and whether it requires adjustment. The analysis focuses on the national DRL system in Sweden and includes European projects and guidelines for reference. The variability in typical doses has decreased. National DRL values have been lowered; however, values in nuclear medicine have seen minimal change. These developments present challenges in revising the values. The increased availability of digital data offers both opportunities and challenges. The DRL system may include specific indications, larger patient cohorts, and consideration of patient size. To remain relevant, the DRL system must be updated to reflect changes in clinical practice. The integration of image quality assessment into the DRL framework is one critical area that requires further development.</p>}},
  author       = {{Almén, Anja}},
  issn         = {{0144-8420}},
  language     = {{eng}},
  number       = {{3-4}},
  pages        = {{243--250}},
  publisher    = {{Oxford University Press}},
  series       = {{Radiation Protection Dosimetry}},
  title        = {{Optimization of radiation protection using diagnostic reference values : current approaches and future directions}},
  url          = {{http://dx.doi.org/10.1093/rpd/ncaf106}},
  doi          = {{10.1093/rpd/ncaf106}},
  volume       = {{202}},
  year         = {{2026}},
}