Expanded criteria in men on active surveillance monitored by MRI-TRUS fusion biopsy.
Bibliographic record
Abstract
115 Background: Active surveillance (AS) is an established option for men with prostate cancer. Studies have shown that multiparametric-MRI along with MRI-TRUS fusion-guided biopsy (FB) may better assess risk in patients eligible for AS, compared to 12-core biopsy, due to improved detection of clinically significant cancers. The objective is to evaluate the performance of expanded criteria eligibility in men on AS being monitored with MRI-TRUS guided biopsy. Methods: Men on AS were included if they had mp-MRI and pathology data for 2 or more FB sessions. FB procedures consisted of targeted biopsies and random 12 core biopsies. Men participated in AS with low and intermediate risk prostate cancer, Gleason score ≤ 3+4=7 with no restriction on percent core involvement or number of cores positive. Progression was defined by patients with initial Gleason 3+3=6 to any Gleason 4, and Gleason 3+4=7 disease progressing to a primary Gleason 4 or higher. Results: 124 men on AS met study criteria. Low risk men had a mean age of 61.3 years versus intermediate risk men with a mean age of 65.5 years (p=0.0062). Mean PSA levels of the low and intermediate risk groups were 5.8 and 5.76 ng/ml (p=0.95), respectively. The mean length of follow-up was 22.56 months (range: 3.6 – 74.4 mo). Rates of pathologic progression in the intermediate and low risk patients were, 38.5% vs. 28.5% (p=0.33). Intermediate risk men had a mean progression-free survival (PFS) of 2.8 years compared to low risk men of 3.9 years (p=0.27). Patients were stratified according to established AS criteria (Epstein, Toronto, PRIAS) and rates of progression are summarized in the Table. 69% of patients met Epstein criteria for AS of which 29.4% (20/68) progressed compared to 28.5% for the low risk cohort overall. Conclusions: Men in our cohort who met strict criteria for AS had the same rate of progression as the entire expaned criteria low risk cohort, 29.4% vs 28.5%, respectively. Our data suggests that with accurate initial Gleason classification other AS criteria such as percent core or number of cores positive have no added benefit in predicting which men may have reclassification or progression of disease. [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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".