Prostate high dose-rate brachytherapy as monotherapy for low and intermediate-risk prostate cancer: Efficacy results from a randomized phase II clinical trial of one fraction of 19 Gy or two fractions of 13.5 Gy: A 9-year update
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: High dose-rate (HDR) brachytherapy as a monotherapy is an accepted treatment for localized prostate cancer, but the optimal dose and fractionation schedule remain unknown. We report on the efficacy of a randomized Phase II trial comparing HDR monotherapy delivered as 27 Gy in 2 fractions vs. 19 Gy in 1 fraction with a median follow-up of 9 years. MATERIALS AND METHODS: Enrolled patients had low or intermediate-risk disease, <60 cc prostate volume and no androgen deprivation use. Patients were randomized to 27 Gy in 2 fractions delivered one week apart vs a single fraction of 19 Gy. RESULTS: 170 patients were randomized: median age 65 years, median follow-up 107 months and median baseline PSA 6.35 ng/ml. NCCN risk categories comprised low (19 %), favourable (51 %), and unfavourable intermediate risk (30 %). The median PSA at 8 years was 0.08 ng/ml in the 2-fraction arm vs. 0.89 ng/ml in the single-fraction arm. The cumulative incidence of local failure at 8 years was 11.2 % in the 2-fraction arm vs. 35.9 % in the single-fraction arm (p < 0.001). The incidence of distant failure at 8 years was 3.8 % in the 2-fraction arm and 2.5 % in the single-fraction arm (p = 0.6). CONCLUSIONS: HDR monotherapy delivered in two fractions of 13.5 Gy demonstrated a persistent cancer control rate at 8 years and was well-tolerated. Single-fraction monotherapy yielded poor oncologic control and is not recommended. These findings contribute to the ongoing discourse on optimal HDR monotherapy strategies for low and intermediate-risk prostate cancer.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| 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".