131I therapy for benign thyroid disease: flexible single-time-point dosimetry using population-based model selection with non-linear mixed-effects modelling

While s1TIA typically produced better <sup>131</sup>I TIA estimates for benign thyroid disease than the hTIA recommended in the EANM SOP, the STP calculation from NLMEM using SOEF EANM SOP s2TIAs was inferior to hTIA. With the best SOEF model, NLMEM provides satisfactory and reasonable STP estimates.

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Publication Details

Journal
EJNMMI Physics
Published
2025-10-13
DOI
https://doi.org/10.1186/s40658-025-00806-8
Citations
1
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
2.63

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article

131I therapy for benign thyroid disease: flexible single-time-point dosimetry using population-based model selection with non-linear mixed-effects modelling

Ade Riana, Ambros J. Beer, Gerhard Glatting, Deni Hardiansyah et al.
1 citations
EJNMMI Physics
Statistical Methods in Clinical Trials
2.63
article

131I therapy for benign thyroid disease: flexible single-time-point dosimetry using population-based model selection with non-linear mixed-effects modelling

Ade Riana, Ambros J. Beer, Gerhard Glatting, Deni Hardiansyah, Michael Laßmann, Heribert Hänscheid, Jaja Muhamad Jabar
article en
1 citations

Abstract

While s1TIA typically produced better <sup>131</sup>I TIA estimates for benign thyroid disease than the hTIA recommended in the EANM SOP, the STP calculation from NLMEM using SOEF EANM SOP s2TIAs was inferior to hTIA. With the best SOEF model, NLMEM provides satisfactory and reasonable STP estimates.

EJNMMI PhysicsVol. 12(1)
Bandung Institute of Technology (ID), Universität Ulm (DE), University of Indonesia (ID), Nuclear and Radiation Safety Center (CN), Universitätsklinikum Würzburg (DE)
Deutscher Akademischer Austauschdienst, Universitas Indonesia, Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung, Ipsen, Lembaga Pengelola Dana Pendidikan
Openalex Percentile: Top 8%
Statistical Methods in Clinical Trials
2.63
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