Non-linear mixed-effects modelling and population-based model selection for 131I kinetics in benign thyroid disease

The best mathematical model from the PBMS-NLME approach has one more free parameter than the EANM SOP function, which could lead to more accurate TIAs.

Authors

Institutions

Publication Details

Journal
EJNMMI Physics
Published
2025-04-08
DOI
https://doi.org/10.1186/s40658-025-00735-6
Citations
4
Primary Topic
Radiopharmaceutical Chemistry and Applications
Type
article
Field-Weighted Citation Impact
5.44

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Non-linear mixed-effects modelling and population-based model selection for 131I kinetics in benign thyroid disease

Ade Riana, Ambros J. Beer, Gerhard Glatting, Deni Hardiansyah et al.
4 citations
EJNMMI Physics
Radiopharmaceutical Chemistry and Applications
5.44
article

Non-linear mixed-effects modelling and population-based model selection for 131I kinetics in benign thyroid disease

Ade Riana, Ambros J. Beer, Gerhard Glatting, Deni Hardiansyah, Michael Laßmann, Heribert Hänscheid
article en
4 citations

Abstract

The best mathematical model from the PBMS-NLME approach has one more free parameter than the EANM SOP function, which could lead to more accurate TIAs.

EJNMMI PhysicsVol. 12(1)
Universität Ulm (DE), University of Indonesia (ID), Universitätsklinikum Würzburg (DE)
Deutscher Akademischer Austauschdienst, Universitas Indonesia, Universität Ulm, Ipsen
Openalex Percentile: Top 5%
Radiopharmaceutical Chemistry and Applications
5.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.