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Record W4396656974 · doi:10.14740/jem940

Multiple Metastatic Lesions on a Post-Ablative Whole-Body Scan Despite a Negative Serum Thyroglobulin Level in a Patient With Papillary Thyroid Cancer

2024· article· en· W4396656974 on OpenAlexvenueno aff
Do‐Hee Kim

Bibliographic record

VenueJournal of Endocrinology and Metabolism · 2024
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging and Pathology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineThyroglobulinAblative casePapillary thyroid cancerWhole body imagingThyroidThyroid cancerRadiologyPathologyCancerInternal medicineRadiation therapyMagnetic resonance imaging

Abstract

fetched live from OpenAlex

Serum thyroglobulin (Tg) and radioactive iodine (RAI) whole-body scan (WBS) have been used to detect recurrent and metastatic differentiated thyroid cancer after total thyroidectomy and RAI remnant ablation. Discordant results of serum Tg and WBS are occasionally encountered, and a negative serum Tg and positive WBS are less common than a positive serum Tg and negative WBS. The author reports a rare case of a 41-year-old man with papillary thyroid cancer who showed unsuspected multiple metastatic lesions in both cervical lymph nodes and both lungs on post-ablative WBS despite a negative stimulated serum Tg level after total thyroidectomy and that an initial negative stimulated serum Tg level was converted to positive after RAI remnant ablation. In conclusion, RAI WBS can contribute to the detection of a relatively small number of unsuspected local and distant metastases despite a negative stimulated serum Tg. J Endocrinol Metab. 2024;14(2):78-84 doi: https://doi.org/10.14740/jem940

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.

How this classification was reachedexpand

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score0.585

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.314
Teacher spread0.280 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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