Biodistribution and radiation dosimetry of 82Rb at rest and under adenosine stress in the paediatric population
Bibliographic record
Abstract
We aimed to estimate 82 Rb paediatric dosimetry based on adult biokinetic and prospectively acquired paediatric biokinetic data. Organ absorbed doses (OAD) and effective doses (E) were estimated using ICRP-103 based OLINDA/EXM.2.1 software. We extrapolated paediatric OAD and E from existing adult biokinetic data (OAD p, Ab and E p, Ab respectively). 82 Rb EANM paediatric dosage card (PDC) cluster and the recommended administered activity were determined. Ten paediatric participants (M: F 7:3; mean age 8.8 ± 6.6y) underwent prospectively 3D-SiPM 82 Rb PET/CT. Using PMOD software, source organs volumes were delineated to obtain source organ time activity curves and participant specific organ masses based on PET/CT data. Subject specific OAD (OAD p and E p respectively) were derived from original paediatric data. 82 Rb was assigned to the EANM PDC B-Cluster. Estimated ranges for E p, Ab resp. E p were 2.19E-02 ̶ 1.15E-03 resp. 9.62E-03 ̶ 1.04E-03 mSv/MBq. E p, Ab resp. E p with 10 MBq/kg and 5MBq/kg after a single 82 Rb infusion was between 0.5 and 0.7 mSv resp. 0.4–0.8 mSv and 0.2–0.4 mSv. The most irradiated organs were the kidneys and the heart wall in infant and newborn group, followed by heart wall in the other age groups, hence, the small intestine, pancreas, lungs, adrenals, and rest of the gastrointestinal tract. 82 Rb PET/CT was safe and well-tolerated by all participants. We firstly provide original dosimetry data for the use of 82 Rb PET/CT in the paediatric population, showing reasonably low radiation exposure, and confirming safety and tolerability of 82 Rb PET/CT in this population.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".