MétaCan
Menu
← Back to cohort
Record W3212642643

Diagnostic Performance of PSMA-Targeted 18F-DCFPyL PET/CT in Men with Biochemically Recurrent Prostate Cancer: Results from the Phase 3, Multicenter CONDOR Study

2020· article· en· W3212642643 on OpenAlexaff
Steven P. Rowe, Michael A. Gorin, Lawrence Saperstein, Frédéric Pouliot, David Josephson, Peter Carroll, Jeffrey Y.C. Wong, Austin R. Pantel, Morand Piert, Kenneth L. Gage, Steve Cho, Andrei Iagaru, Janet H. Pollard, Vivien Wong, Jessica Jensen, Nancy Stambler, Michael J. Morris, Barry A. Siegel

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMedicineProstate cancerNuclear medicineBiochemical recurrenceGlutamate carboxypeptidase IIOccultClinical endpointConfidence intervalConcordanceRadiologyClinical trialCancerInternal medicinePathologyProstatectomy
DOInot available

Abstract

fetched live from OpenAlex

38 Background: Currently available imaging modalities are inadequate in reliably localizing or determining the extent of biochemically recurrent (BCR) prostate cancer (PCa), especially in men with low prostate-specific antigen (PSA) levels. Identifying occult disease in men with BCR is critical for treatment planning. Thus, there is a clear need for improved imaging diagnostics for patients with recurrent PCa. 18F-DCFPyL is a novel PET agent for imaging PCa that binds selectively with high affinity to the cell surface protein prostate-specific membrane antigen (PSMA). Methods: Men ≥18 years of age with a rising PSA after definitive PCa therapy and negative or equivocal imaging were enrolled. A single ~9 mCi (333 MBq) dose of 18F-DCFPyL was administered followed by PET/CT from mid-thigh through skull vertex 1-2 hours later. The primary endpoint of this study was the correct localization rate (CLR). CLR is defined as the percentage of patients with a one-to-one correspondence between localization of at least one lesion identified by 18F-DCFPyL PET/CT and a composite standard of truth (SOT). SOT was determined by two central readers and included either histopathology or another standard imaging modality (i.e., fluciclovine-PET/CT, CT/MRI, bone scan) or alternatively, by a post-treatment PSA change for irradiated lesions. The trial was deemed a success if the lower bound of the 95% confidence interval for CLR exceeded 20% for two of three independent, blinded 18F-DCFPyL PET/CT reviewers. Results: 208 men with a median baseline PSA of 0.8 ng/mL (range: 0.2 - 98.4 ng/mL) underwent 18F-DCFPyL PET/CT. A total of 59% to 66% of subjects had at least one lesion detected by 18F-DCFPyL PET/CT by the three blinded independent readers. Among these patients, CLR of 84.8%-87.0% was observed (lower bound of 95% CI: 77.8%-80.4%). A single serious adverse event (AE) was reported as related to study drug (hypersensitivity). The most common AE reported was headache in four patients (1.9%). Conclusions: 18F-DCFPyL PET/CT achieved its primary endpoint with a CLR of up to 87% in localizing recurrent PCa in men with negative or equivocal baseline imaging. These data demonstrate the strong diagnostic performance of PSMA-targeted 18F-DCFPyL PET/CT and support its use to inform treatment choices in men with recurrent PCa. ClinicalTrials.gov identifier NCT03739684

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.028
GPT teacher head0.327
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same topicProstate Cancer Treatment and Research→French-language works237,207→