A prospective phase II/III multicenter study of PSMA-targeted 18F-DCFPyL PET/CT imaging in patients with prostate cancer (OSPREY): A sub-analysis of regional and distant metastases detection rates at initial staging by 18F-DCFPyL PET/CT.
Bibliographic record
Abstract
9 Background: Current imaging modalities are suboptimal for the initial staging of men at risk of harboring occult metastatic prostate cancer (PCa). PSMA-based imaging is considered highly promising for PCa detection. 18F-DCFPyL is a novel PSMA-targeted radiopharmaceutical for positron emission tomography (PET) that may be useful in staging of pts with high risk PCa. The diagnostic performance of 18F-DCFPyL regarding regional and distant metastases has been previously reported. Here we report on detection rates and the resulting impact 18F-DCFPyL may have on staging of pts with high risk PCa. Methods: 18F-DCFPyL PET/CT was evaluated in 252 men with high-risk PCa who were planned for radical prostatectomy with lymphadenectomy (RP-PLND). 9 mCi (333 MBq) of 18F-DCFPyL was administered 1-2 hours prior to PET/CT. Based on TNM staging, 18F-DCFPyL PET/CT detection rates including lesion counts were systematically analyzed: prostatic (T), pelvic LN (N), extra-pelvic LN (M1a), bone (M1b) & other visceral organs/soft tissue (M1c). Three central, blinded, and independent readers evaluated the 18F-DCFPyL scans. Results: At study entry, 97% and 99% of all evaluable pts had no known nodal or metastatic disease, respectively, based on standard cross-sectional imaging. Of these, 18F-DCFPyL PET/CT staged 37 (14.7%) pts with N1 disease and 27 (10.7%) pts with M1 disease (1 [0.4%] M1a, 23 [9.1%] M1b, and 3 [1.2%] M1c). In total, 56 (22%) of patients were upstaged to N1 or M1 disease by 18F-DCFPyL. The positive predictive value of 18F-DCFPyL based on histopathologic validation for pelvic LNs was 86.7% (95% CI: 70, 95). Only one patient in Cohort A underwent a biopsy of their 18F-DCFPyL detected M1 finding; histopathology confirmed the metastatic lesion in the spine to be a true positive. Conclusions: A total of 22% of pts with high-risk PCa planned for RP-PLND had regional or distant metastatic lesions detected on 18F-DCFPyL PET/CT. These results suggest the potential utility of 18F-DCFPyL PET/CT in the staging of men with newly diagnosed high risk PCa to develop optimized treatment paradigms. Clinical trial information: NCT02981368.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".