Patterns of failure after radiotherapy (RT) in patients with prostate cancer re-staged with <sup>18</sup>F-DCFPyL PSMA-PET: A regional cohort analysis.
Bibliographic record
Abstract
45 Background: In Ontario, PSMA-PET is available to patients with prostate cancer who experience biochemical failure after definitive primary RT (pRT) or salvage/adjuvant RT (sRT) through a provincial registry study (PREP protocol). Here we review patterns of PSMA-PET-detected failure after primary (pRT) or salvage/adjuvant RT (sRT) radiotherapy (RT) in cohorts of PREP-registry patients from the Local Health Integration Network (LHIN) 4 region. Methods: With ethics approval, we retrospectively analyzed patients imaged with PSMA-PET in Hamilton, Ontario, Canada, after biochemical failure, following pRT or sRT. Demographic, clinical and treatment parameters as well as PSMA-PET results were collected. Results: Between April 2019 and December 2021, 104 pRT and 91 sRT patients were imaged with 18F-DCFPyL PSMA-PET. Median PSA (ng/mL) before PSMA-PET for the two groups was 5.0 (IQR:3.1-8.9) and 1.3 (IQR:0.6-3.4). The percentages of Prostate or Prostatic bed RT alone (Pr-RT) and Pr + pelvic Lymph Node RT (Pr+LN-RT) RT treatments, were Pr-RT:76% vs Pr+LN-RT:24% for the pRT group and Pr-RT:49.4% vs Pr+LN-RT:50.6% for the sRT group, respectively. Rates of PSMA-PET detected local, pelvic lymph node and distant recurrence are shown. In the pRT group, increasing D’Amico risk category (low to high risk) was associated with lower risk for local and increased risk for pelvic and distant metastasis. Pelvic RT was associated with reduce risk for local recurrence in the pRT but not in the sRT group. Conclusions: In this cohort of patients PSMA-PET detected a considerable risk for local recurrence in patient treated with pRT. A high number of patients are detected with pelvic-only disease recurrence, but pelvic RT seems to be associated with reduction in this risk only in the pRT population. Studies with PSMA-PET at baseline, before pRT or sRT, may help discern better patients that would benefit from pelvic RT and systemic therapy.[Table: see text]
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".