Embracing the Practical Aspects of Theranostics With Prostate-Specific Membrane Antigen–Targeted Lutetium-177
Bibliographic record
Abstract
Treatment options for men with metastatic castration-resistant prostate cancer are rapidly changing. In addition to novel anti-androgens and taxane-based chemotherapy, radiopharmaceuticals are having an increasing role. Although calcium-mimetic theranostics have been in use for years, newer approaches use molecularly targeted radiation therapy by conjugating isotopes to prostate-specific membrane antigen (PSMA) and in so doing directly target prostate cancer cells; 177 Lutetium-PSMA-617 is perhaps the best-known member of this new class. Expanding our capacity to deliver targeted beta-emitters requires additional planning and equipment. Having delivered close to 200 doses of 177 Lutetium-PSMA-617 at our center, we offer practical advice about patient selection, radiation safety, treatment administration, and toxicity monitoring. Although this blueprint is not the only way to expand a theranostics program beyond Radium-223, we offer our institutional experience with 177 Lutetium-PSMA-617 as an example to programs seeking to expand their radiopharmaceutical programs. We must rise to meet the patient-driven demand for these innovative and effective therapies.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".