Evidence map›Paper›PMID 39909959›Full record

ArticleEJNMMI physics2025

On the reduction of imaging time-points for dosimetry in radionuclide therapy.

Johan Gustafsson, Jan Taprogge

Abstract read
In one paragraph

Article in EJNMMI physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Johan GustafssonMedical Radiation Physics, Lund, Lund University, Lund, Sweden. johan_ruben.gustafsson@med.lu.se.ORCID http://orcid.org/0000-0002-1022-8370
Jan TaproggeJoint Department of Physics, Royal Marsden NHSFT, Sutton, UK.

Funding

Cancerfonden 21 1754 Pj 01HFru Berta Kamprads Stiftelse FBKS-2024-7-583
6 · The paper itself

Abstract

backgroundThe aim was to develop a theoretical framework for how errors in estimated activities propagate to a dispersion in time-integrated activity in radionuclide-therapy dosimetry and how this affects the comparison of radionuclide-therapy dosimetry schemes.

methodsFormulae for the variance of relative errors of estimated time-integrated activities and relative differences in time-integrated activities between measurement schemes when one or more time-points are removed were derived using the law of propagation of uncertainty for a population of time-activity-curve parameters. The formulae were derived under the assumptions of fixed coefficients of variation for estimated activities, and underlying mono-exponential curves. Analytical predictions were compared with results from numerical simulations and data for kidneys, liver, and spleen from a data-set of 18 patients treated with

resultsThe dispersion in time-integrated activity is minimized if the time-points used for curve fitting have a large dispersion and are centered over the mean of

conclusionsThe dispersion of errors and deviations in estimated time-activity curves can be predicted using simple formulae. These formulae have the potential to be used for optimization of dosimetry measurement schemes for established and new radiopharmaceuticals as long as the mean and dispersion of biological half-lives are known in the patient population.

Indexed as

Curve fittingDosimetryRadionuclide therapyUncertainty

Identifiers

PMID39909959
PMCPMC11799503

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