Evidence map›Paper›PMID 31863162›Full record

ReviewRadiation and environmental biophysics2020

Internal microdosimetry of alpha-emitting radionuclides.

Werner Hofmann, Wei Bo Li, Werner Friedland, Brian W Miller, Balázs Madas, Manuel Bardiès, Imre Balásházy

Open access · hybridAbstract readReview
In one paragraph

Review in Radiation and environmental biophysics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 50 citations in OpenAlex.

  1. Review
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  11. Experimental Setups for In Vitro Studies on Radon Exposure in Mammalian Cells-A Critical Overview.International journal of environmental research and public health · 2023
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Recent advances in voxel-based targeted radionuclide therapy dosimetry.Quantitative imaging in medicine and surgery · 2021
    Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 5 countries.

Werner HofmannBiological Physics, Department of Chemistry and Physics of Materials, University of Salzburg, Hellbrunner Str. 34, 5020, Salzburg, Austria. werner.hofmann@sbg.ac.at.ORCID 0000-0002-1946-7837
Wei Bo LiInstitute of Radiation Medicine, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany. wli@helmholtz-muenchen.de.
Werner FriedlandInstitute of Radiation Medicine, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.
Brian W MillerDepartment of Radiation Oncology, School of Medicine, University of Colorado, Aurora, CO, 80045, USA.
Balázs MadasEnvironmental Physics Department, MTA Centre for Energy Research, Budapest, Hungary.
Manuel BardièsCentre de Recherches en Cancérologie de Toulouse, UMR 1037, INSERM Université Paul Sabatier, Toulouse, France.
Imre BalásházyEnvironmental Physics Department, MTA Centre for Energy Research, Budapest, Hungary.
Helmholtz Zentrum München · DEHUN-REN Centre for Energy Research · HUUniversité Toulouse III - Paul Sabatier · FRUniversity of Arizona · USUniversity of Salzburg · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At the tissue level, energy deposition in cells is determined by the microdistribution of alpha-emitting radionuclides in relation to sensitive target cells. Furthermore, the highly localized energy deposition of alpha particle tracks and the limited range of alpha particles in tissue produce a highly inhomogeneous energy deposition in traversed cell nuclei. Thus, energy deposition in cell nuclei in a given tissue is characterized by the probability of alpha particle hits and, in the case of a hit, by the energy deposited there. In classical microdosimetry, the randomness of energy deposition in cellular sites is described by a stochastic quantity, the specific energy, which approximates the macroscopic dose for a sufficiently large number of energy deposition events. Typical examples of the alpha-emitting radionuclides in internal microdosimetry are radon progeny and plutonium in the lungs, plutonium and americium in bones, and radium in targeted radionuclide therapy. Several microdosimetric approaches have been proposed to relate specific energy distributions to radiobiological effects, such as hit-related concepts, LET and track length-based models, effect-specific interpretations of specific energy distributions, such as the dual radiation action theory or the hit-size effectiveness function, and finally track structure models. Since microdosimetry characterizes only the initial step of energy deposition, microdosimetric concepts are most successful in exposure situations where biological effects are dominated by energy deposition, but not by subsequently operating biological mechanisms. Indeed, the simulation of the combined action of physical and biological factors may eventually require the application of track structure models at the nanometer scale.

Indexed as

Alpha ParticlesRadioisotopesAnimalsBone and BonesHumansLungRadiometryRadioisotopesAlpha-emitting radionuclidesInternal dosimetryMicrodosimetry

Identifiers

PMID31863162
PMCPMC7012986
OpenAlexW2995653709

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.