Fluorine-18 Fluorodeoxyglucose Positron Emission Tomography Correlated With Computed Tomographic Scan and Magnetic Resonance Imaging in a Case of Hematometrocolpos
Bibliographic record
Abstract
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.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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".