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Record W4411464738 · doi:10.1186/s40658-025-00770-3

PET/CT acquisition and processing protocols in the Netherlands

2025· article· en· W4411464738 on OpenAlex
Dennis Dieckens, Pepijn van Horssen, Koen van Gils, A. J. van Lange, Oleksandra Ivashchenko, Wouter J. H. Veldkamp, Adriaan A. Lammertsma, Niels C. Veltman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEJNMMI Physics · 2025
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging Techniques and Applications
Canadian institutionsHotel Dieu Hospital
Fundersnot available
KeywordsNuclear medicineScannerMedicinePET-CTPositron emission tomographyRadiologyComputer scienceArtificial intelligence

Abstract

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To evaluate variations in acquisition and processing protocols for four of the most common PET/CT examinations in Dutch hospitals: FDG-WB, [18F]F-PSMA, [68Ga]Ga-PSMA, and FDG-Brain. All nuclear medicine departments in the Netherlands with a PET/CT scanner were invited to participate in a survey about acquisition and processing protocols for FDG-WB, [18F]F-PSMA, [68Ga]Ga-PSMA, and FDG-Brain PET/CT examinations. The survey collected data on injected activity, acquisition times, and reconstruction/post-processing settings. From these data, we analyzed the weight-dependent injected activity, acquisition count statistics, and correlations with scanner performance (NEMA sensitivity). A total of 42 hospitals responded (including all Dutch University Medical Centers), providing data from 58 PET/CT systems spanning 11 different models from 4 vendors. Injected activity and scan duration varied widely across hospitals, even for the same scanner model and examination type. A moderate negative correlation was observed between scanner sensitivity and the normalized injected activity × scan duration product for FDG-WB (R2 = 0.50, slope = − 186.5) and FDG-brain (R2 = 0.33, slope = − 180.8), suggesting that hospitals using higher-sensitivity scanners tend to reduce either injected activity or scan duration to maintain comparable acquisition counts. For [18F]F-PSMA (R2 = 0.24, slope = − 62.6), the trend was less pronounced, indicating greater variability in how PET/CT centers adjust injected activity and scan duration for these tracers. In contrast, for [68 Ga]Ga-PSMA (R2 = 0.04, slope = − 28.3), no significant correlation was found, suggesting that scanner sensitivity plays a minimal role in protocol selection for these examinations. The observed variations in injected activity led to differences in patient radiation dose by a factor of 4 for FDG-WB, more than a factor of 10 for PSMA, and a factor of 5 for FDG-brain scans. These differences persist even after accounting for scan duration, scanner sensitivity, and overlap between scanning positions, highlighting substantial inconsistencies in PET/CT imaging protocols across Dutch hospitals. The main objective of this survey was to determine the current state of practice in the Netherlands for three common PET/CT examinations. We observed variations in the injected activity for all PET/CT exam types, even within the same scanner model, that cannot be explained by taking into account differences in scanning times or uptake times. The direct implication of the observed variation in injected activity is a similar variation in radiation dose to the patient. We observed differences in dose to the patient of up to a factor 4 for FDG-WB, more than a factor of 5for [18F]F-PSMA, a factor of 4 for [68 Ga]Ga-PSMA, and up to a factor of 5 for FDG-brain scans. Variations in count statistics, reconstruction, and processing settings for similar-weight patients on comparable PET/CT systems should be further investigated for their impact on lesion detectability.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score0.135

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.379
Teacher spread0.356 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it