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Record W2958349634 · doi:10.1097/rlu.0000000000002736

18F-FDOPA PET Compared With 123I-Metaiodobenzylguanidine Scintigraphy and 18F-FDG PET in Secreting Sporadic Pheochromocytoma

2019· article· en· W2958349634 on OpenAlexaff
Alexandre Lugat, D. Drui, Éric Mirallié, Françoise Kraeber‐Bodéré, C. Ansquer

Bibliographic record

VenueClinical Nuclear Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicAdrenal and Paraganglionic Tumors
Canadian institutionsHotel Dieu Hospital
FundersAgence Nationale de la Recherche
KeywordsMedicinePheochromocytomaScintigraphyNuclear medicineRadiologyPositron emission tomographyPET-CTInternal medicine

Abstract

fetched live from OpenAlex

We report the case of a 23-year-old man presenting a right hypersecreting pheochromocytoma, falsely negative on F-FDG PET/CT and on I-metaiodobenzylguanidine (I-MIBG) scintigraphy but strongly positive on F-FDOPA PET/CT. Functional imaging has a key role in diagnosis and prognosis of pheochromocytomas, but choosing the most relevant modality remains difficult. Despite its high specificity, I-MIBG has a limited sensitivity. F-FDG can be used, but it is an unspecific tracer, and F-FDG uptake in brown adipose tissue can hinder the analysis. However, F-FDOPA shows very high sensitivity and specificity in pheochromocytomas with fewer drug interferences than I-MIBG.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.026
GPT teacher head0.313
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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

Citations8
Published2019
Admission routes1
Has abstractyes

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