Alcohol in Canada: reducing the toll through focused interventions and public health policies
Bibliographic record
Abstract
<b>3021</b> <h3><b>Objectives:</b></h3> In the United States, Lutetium-177 is being used to treat patient’s with gastro-entero-pancreatic neuroendocrine tumors with the FDA approved radiopharmaceutical Lutathera, which is manufactured by Advanced Accelerator Applications. In addition, Radiomedix, is manufacturing Lutetium-177-PSMA to treat patients with metastatic prostate cancer as part of a phase III clinical trial which is run by Endocyte. Each company uses a different process to manufacture the Lutetium, one of which adds a small amount of metastable Lutetium-177 which has a 160.4 day half-life. Without the metastable component, Lutetium-177 has a 6.65 day half-life. The difference in manufacturing methods may lead to differences in handling and disposing of the radioactive material. The purpose here is to share a single institution’s experience, OHSU, with Lutetium-177 from different manufacturers. <h3><b>Methods:</b></h3> After administration of the radionuclide therapy, any radioactive waste is stored in a secure area to decay in storage. With a half-life of 6.65 days, our process is to check for any residual activity at approximately 65 days or 10 half-lives. After this decay period, we compared residual activity in multiple vials between manufacturer’s which had the same calibration date or were within one or two days of each other. To do this comparison, we measured the vial in a dose calibrator and also withdrew 1cc from each vial and measured the counts per minute in a Perkin Elmer Wizard well counter. <h3><b>Results:</b></h3> When comparing waste from each manufacturer which had the same calibration date or were within one or two days of each other, we noticed that measured counts per minute from the well counter were 200% higher for vials from AAA. This phenomenon is consistent across all vials that were compared. We believe this is directly correlated to the metastable component that can be found in Lutetium-177 from AAA. The prolonged presence of radioactivity in the vials from AAA have required us to use a third-party company for disposal of this radioactive waste, which has led to increase in space needed for decay in storage and an additional operating cost to properly handle this material. <b>Conclusion:</b> In summary, Lutetium-177 has become a vital tool for radionuclide therapy, however, there are important considerations for decay and disposal of the radioactive waste which will vary based on the method of production. Having this information available when starting new programs and service lines is critical to long term success and compliance with regulatory agencies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".