Evidence map›Paper›PMID 36759362›Full record

ArticleEJNMMI physics2023

Single-time-point dosimetry using model selection and nonlinear mixed-effects modelling: a proof of concept.

Deni Hardiansyah, Ade Riana, Ambros J Beer, Gerhard Glatting

Open access · goldAbstract read
In one paragraph

Article in EJNMMI physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. OpenDose3D: A Free, Open-Source Clinical Dosimetry Software for Patient-Specific Dosimetry.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  5. Review
  6. EJNMMI physics · 2025
    Article
  7. Characterization of Effective Half-Life for Instant Single-Time-Point Dosimetry Using Machine Learning.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  8. Article
  9. Review
  10. Impact of the Reference Multiple-Time-Point Dosimetry Protocol on the Validity of Single-Time-Point Dosimetry for [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  11. Article
  12. Article
  13. Review
  14. Article
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

4 authors at 2 institutions in 2 countries.

Deni HardiansyahMedical Physics and Biophysics, Physics Department, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, Indonesia.
Ade RianaMedical Physics and Biophysics, Physics Department, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, Indonesia.
Ambros J BeerDepartment of Nuclear Medicine, Ulm University, Ulm, Germany.
Gerhard GlattingDepartment of Nuclear Medicine, Ulm University, Ulm, Germany. gerhard.glatting@uni-ulm.de.ORCID http://orcid.org/0000-0001-7916-1576
Universität Ulm · DEUniversity of Indonesia · ID

Funding

Kemenristek Dikti (WCP) 3252/E4/DT.04.03/2022Universitas Indonesia (PUTI Q1) NKB-475/UN2.RST/HKP.05.00/2022
6 · The paper itself

Abstract

purposeThis project aims to develop and evaluate a method for accurately determining time-integrated activities (TIAs) in single-time-point (STP) dosimetry for molecular radiotherapy. It performs a model selection (MS) within the framework of the nonlinear mixed-effects (NLME) model (MS-NLME).

methodsBiokinetic data of [

resultsThe function [Formula: see text] with four adjustable parameters and [Formula: see text] was selected as the function most supported by the data with an Akaike weight of (45 ± 6) %. RD and RMSE values show that the MS-NLME method performs better than functions with three or five adjustable parameters. The RMSEs of TIA

conclusionAn MS-NLME method was developed to determine the best fit function for calculating TIAs in STP dosimetry for a given radiopharmaceutical, organ, and patient population. The proof of concept was demonstrated for biokinetic

Indexed as

Akaike weightModel selectionNLMEPRRT

Identifiers

PMID36759362
PMCPMC9911583
OpenAlexW4319812129

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.