Stereotactic radiotherapy +/- HDR boost for unfavorable-risk prostate cancer: Comparison of efficacy, survival, and late toxicity outcomes.
Bibliographic record
Abstract
372 Background: The ASCO/CCO guidelines recommend brachytherapy boost for all eligible intermediate- or high-risk localized prostate cancer patients. Stereotactic body radiotherapy (SBRT) is an emerging treatment for prostate cancer but its use in high risk disease is limited. We compare efficacy, survival and late toxicity outcomes in patients treated on 2 prospective, phase 2 protocols that both use pelvic SBRT and androgen deprivation therapy (ADT). One used MR-guided HDR brachytherapy boost (SPARE) and the other uses a SBRT boost (SATURN). Methods: SPARE was a phase I/II study where intermediate (IR) or high-risk (HR) prostate cancer patients received HDR-BT 15Gy x 1 to the prostate and up to 22.5Gy to the MRI nodule and followed by gantry-based SBRT 25Gy in 5 weekly fractions delivered to pelvis. ADT was used for 6-18 months. SATURN was a phase II study where high risk patients received 40Gy to prostate and 25Gy to pelvis along in 5 weekly fractions with 12-18 months ADT. CTCAEv3 was used to assess toxicities and was captured q6months x 5 years. Biochemical failure (BF; nadir + 2 definition), nadir PSA, proportion of patients with PSA < 0.4 ng/ml at 4 years (4yPSARR), incidence of salvage therapy, cause specific survival were calculated. Day 0 was first day of RT for all time-to-event analyses. Results: Thirty-two patients (NCCN 3% favorable IR, 47% unfavorable IR (UIR), 50% HR) completed SPARE while 30 patients (7% UIR, 93% HR) completed SATURN. Median follow-up of 50 and 48 months, respectively. Actuarial 4-year BF was 11.5% and 0%. Median nPSA was 0.02 ng/ml for both studies. 4yPSARR was 69% and 93%. 4-year cause-specific survival was 96% and 100%. Toxicities are listed in Table. Conclusions: In the context of SBRT pelvis and ADT, SBRT boost provides similar efficacy for unfavorable risk prostate cancer with acceptable but worse toxicities compared to HDR boost. A randomized study is recommended to answer this question. Clinical trial information: 01953055. [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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".