Downgrading of biopsy based Gleason score in prostatectomy specimens
Bibliographic record
Abstract
AIMS: To assess the frequency and possible causes of downgrading from a Gleason score (GS) 7 at biopsy to a GS ≤6 at radical prostatectomy (RP) in a Canadian referral centre. METHODS: Data were extracted from diagnostic reports of inhouse biopsies and matching prostatectomy specimens from 2008 to 2011 with a GS 7 at biopsy. Biopsies and corresponding prostatectomy specimens of downgraded cases were reviewed. Pathological features were assessed and possible predictors for downgrading were identified. RESULTS: Based on pathology reports, 29 (8.9%, 95% CI 5.8% to 11.9%) of the 327 eligible cases were downgraded from biopsy GS 7 to RP GS 6, 72% of them representing a GS ≤6 with tertiary grade 4 at RP. Agreement at review of downgraded RP specimens for Gleason grading was fair and of borderline significance (κ=0.34, 95% CI -0.01 to 0.68, p=0.055) with 65% agreement for tertiary grade. The predominant Gleason grade 4 pattern found in the downgraded biopsies was ill-formed glands. The number of cores with Gleason grade 4 component was found to be the strongest negative predictor of downgrading (prereview OR=0.56 (95% CI 0.39 to 0.80, p=0.002), postreview OR=0.19 (95% CI 0.07 to 0.52, p=0.001)). CONCLUSIONS: The frequency of GS 7 in biopsies subsequently downgraded in RP is low and is associated with International Society of Urological Pathology modified Gleason grade 4 patterns. Downgrading could be attributed in most cases to the presence of a tertiary Gleason grade 4 pattern in the RP specimen. Inter-observer agreement for the presence of tertiary grade 4 in RP specimens is moderate.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".