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Record W4200265824 · doi:10.2967/jnmt.121.262719

Thyroid Uptake Exceeding 100%: Causes and Prevention

2021· article· en· W4200265824 on OpenAlex
Dhrumil Naik, Sarah Ternan, Rene Degagne, Wanzhen Zeng, Ran Klein

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

VenueJournal of Nuclear Medicine Technology · 2021
Typearticle
Languageen
FieldMedicine
TopicRadiation Dose and Imaging
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsNuclear medicineThyroidCoefficient of variationMedicineChemistryAnalytical Chemistry (journal)MathematicsStatisticsInternal medicineChromatography

Abstract

fetched live from OpenAlex

Measurements of radionuclide uptake by the thyroid gland reflect its metabolic activity. Thyroid uptake is measured as a percentage of radioactivity retained by the gland at a specified time versus the activity administered to the patient; thus, uptake measurements must fall between 0% and 100%. Here, through a case study, we reviewed sources of error that can lead to uptake of more than 100%, and we describe a novel quality control (QC) indicator to improve the accuracy of uptake measurements in the clinic. <b>Methods:</b> Probe efficiency is determined as the ratio between the dose counts of the probe and the independent dose calibrator activity readings. The nominal probe efficiency value (M) was calculated as the mean of readings (<i>n</i> ≥ 20), and variance was characterized using the SD. Warning levels were set at M ± (1.96 × SD), and error levels were set at M ± (2.58 × SD). In subsequent routine clinical use, before a capsule is administered, the probe efficiency is calculated and compared with the warning and error limits. We derived M for 3 pairs of probe and dose calibrator devices using several doses and measured independently by several nuclear medicine technologists. <b>Results:</b> The recorded data indicated when technologists were made aware of the expected efficiency value, nominal efficiency was statistically different between our old device and the one that replaced it (<i>P</i> = 0.01), but coefficient of variation ([SD/M] × 100%) was not (<i>P</i> = 0.42). Using efficiency measurements acquired on the replacement device for the first 20 patients, we derived new QC values (M = 910, SD = 36). In 22 patients measured at our sister site, with the same device models but with the technologists unaware of the QC initiative, the derived QC values were an M of 1,025 and an SD of 116, demonstrating a significant difference between the nominal values of individual devices (<i>P</i> &lt; 0.001). Furthermore, variability was significantly lower (<i>P</i> &lt; 0.001) when QC was applied than when it was not. <b>Conclusion:</b> Adding probe efficiency as a QC indicator during thyroid uptake measurement is simple, can produce more precise clinical measurements, and can help mitigate operator and instrumentation errors.

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)0.001
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 score0.669
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.024
GPT teacher head0.311
Teacher spread0.287 · 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