Physiologic prostate-specific membrane antigen-targeted 18F-DCFPyL uptake in the epididymis head newly appreciated on digital PET/CT
Bibliographic record
Abstract
PURPOSE: The published physiological distribution of prostate specific membrane antigen (PSMA) PET ligands includes normal uptake in the lacrimal glands, salivary glands, bowel, liver, spleen, kidneys and parasympathetic ganglia but does not include the epididymis. METHODS: Retrospective review of 134 PSMA-targeted 2-(3-(1-carboxy-5-[(6-[18F]fluoropyridine-3-carbonyl)-amino]-pentyl)-ureido)-pentanedioic acid (18F-DCFPyL) PET/CT scans performed on a latest generation digital scanner for radiotracer uptake in the epididymal head region was correlated with multiple clinical and laboratory factors. RESULTS: Physiologic PSMA radiotracer uptake in the epididymal head region was present in 57% of all subjects, including 29% in those with a total serum testosterone ≤ 5 nmol/L and 65% of patients with serum testosterone > 5 nmol/L, odds ratio of 0.21 (P < 0.01). CONCLUSION: Epididymal head uptake is physiologic and very common on digital PSMA PET/CT and is more frequent in patients with higher serum testosterone levels. The enhanced small structure detection of digital PET/CT is the most likely explanation for the novel visualization of this normal variant.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".