ArticleClinical and translational radiation oncology2026
Post-SABR early PSA density kinetics in androgen deprivation therapy-naïve patients: early landmark models for long-term biochemical recurrence-free survival.
Article in Clinical and translational radiation oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Purpose: To identify early post-treatment prostate-specific antigen density (PSA-D) models associated with long-term biochemical recurrence-free survival (bRFS) after ultrahypofractionated prostate radiotherapy without androgen deprivation therapy (ADT), and to compare early kinetic composite models with single post-treatment PSA-D classifiers. Methods and materials: Prospectively collected patients receiving 45 Gy in 5 consecutive fractions without ADT were analyzed. This analysis used a prespecified, clinically driven landmark approach evaluating PSA-D change across early post-treatment intervals while prioritizing interpretability over model complexity. Candidate 2-factor models combined ISUP grade group with PSA-D kinetics in the baseline→3-month and 3 → 6-month windows and were screened by Kaplan-Meier separation, cohort size, and clinical usability, with fixed-time 7-year ROC analysis used descriptively. An exploratory 3-feature composite score was also assessed. Results: The final no-ADT cohort comprised 294 patients with 39 biochemical relapses. Seven-year bRFS was 100.0%, 96.2%, 83.4%, and 73.7% for low-, favorable intermediate-risk (FIR), unfavorable intermediate-risk (UIR), and high-risk disease, respectively. PSA and PSA-D decline rates from baseline to 12 months differed significantly across NCCN risk groups, with steeper declines in UIR and high-risk disease than in FIR disease (both Conclusions: Early PSA-D kinetics may support early risk stratification for long-term bRFS after prostate SABR without ADT. Composite models combining baseline pathologic risk with early PSA-D kinetics provide a treatment-response-based layer of risk stratification that complements baseline NCCN classification. Single PSA-D cutoffs remain informative but are less satisfactory than kinetic models because they do not capture response velocity.
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