PSMA PET in Favourable Intermediate-Risk Prostate Cancer? Gold Mine or Money Pit
Bibliographic record
Abstract
Background/Objectives: Since the proPSMA trial, prostate-specific membrane antigen (PSMA) positron emission tomography (PET) scan has primarily replaced conventional imaging for staging newly diagnosed prostate cancer. The objective of this commentary is to summarise the existing literature on the role of PSMA PET in staging favourable intermediate-risk prostate cancer. Methods: A literature search was conducted on Embase and Ovid MEDLINE, and three retrospective cohort studies were identified. Results: Overall, these studies demonstrated a low prevalence of nodal and distant metastases, as well as modest diagnostic performance of PSMA positron emission tomography-computed tomography (PET-CT) in this patient group. Additionally, PSMA PET did not significantly outperform existing nomograms in predicting lymph node involvement. Conclusions: Given its limited sensitivity, low yield, and cost, the routine use of PSMA PET-CT in favourable intermediate-risk prostate cancer patients is not recommended. Further prospective studies and cost-effectiveness analyses are warranted to clarify its role in this population.
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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 | 0.009 | 0.051 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".