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Fluorine-18 Fluorodeoxyglucose Positron Emission Tomography Correlated With Computed Tomographic Scan and Magnetic Resonance Imaging in a Case of Hematometrocolpos

2000· article· en· W2322401489 on OpenAlexaff
Sylvain Beaulieu, Luc Boucher, Martin Lecompte, François Bénard

Bibliographic record

VenueClinical Nuclear Medicine · 2000
Typearticle
Languageen
FieldMedicine
TopicGynecological conditions and treatments
Canadian institutionsCentre Hospitalier Universitaire de Sherbrooke
Fundersnot available
KeywordsMedicineMagnetic resonance imagingPositron emission tomographyRadiologyPositron emissionNuclear medicineAbdomenPelvisFluorodeoxyglucose

Abstract

fetched live from OpenAlex

A 12-year-old girl had intense abdominal pain that had increased in the past 3 months and was accompanied by weight loss. An ultrasound examination revealed large cystic masses in the abdomen. A computed tomographic scan could not conclusively rule out a malignant condition. The hymen was normal on physical examination, but magnetic resonance imaging confirmed that the abnormalities corresponded to dilated cavities of the vagina, uterus, and fallopian tubes, with an appearance suggestive of hematometrocolpos. Fluorine-18 fluorodeoxyglucose (FDG) positron emission tomography was requested concurrently with the magnetic resonance image to assess the metabolic activity of the lesions and to exclude the presence of distant metastases. Large defects without FDG accumulation were noted in the areas corresponding to the cystic masses. Vaginal atresia with hematometrocolpos was confirmed at surgery. This rare case involving F-18 FDG positron emission tomographic imaging in hematometrocolpos illustrates that this diagnosis should be considered in the presence of symmetric hypometabolic masses in the pelvis.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.189
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.310
Teacher spread0.293 · 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.

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

Citations5
Published2000
Admission routes1
Has abstractyes

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