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Record W2790003199 · doi:10.1097/rlu.0000000000001966

Flare on Serial Prostate-Specific Membrane Antigen–Targeted 18F-DCFPyL PET/CT Examinations in Castration-Resistant Prostate Cancer

2018· article· en· W2790003199 on OpenAlexaff
Katherine Zukotynski, John F. Valliant, François Bénard, Steven P. Rowe, Chun K. Kim, Martin G. Pomper, Steve Y. Cho

Bibliographic record

VenueClinical Nuclear Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversity of British Columbia
FundersNational Institute of Biomedical Imaging and BioengineeringNational Cancer Institute
KeywordsMedicineProstate cancerAntigenLymph nodeProstateGlutamate carboxypeptidase IIEnzalutamideProstate-specific antigenOncologyPathologyCancer researchUrologyInternal medicineCancerAndrogen receptorImmunology

Abstract

fetched live from OpenAlex

A 71-year-old man with castration-resistant prostate cancer demonstrated a flare phenomenon on Tc-MDP and CT after 10 weeks of enzalutamide. Prostate-specific membrane antigen-targeted F-DCFPyL PET/CT demonstrated minimal uptake at sites of baseline bone and lymph node disease with increasing uptake at sites of osseous disease following therapy. Although this is likely related in part to decreased androgen receptor activity and a consequent increase in prostate-specific membrane antigen expression, other mechanisms (neovascularization, cell infiltration from the bone repair process, osteoblastic turnover, or minimal radiotracer impurity) may also be involved in causing the increased F-DCFPyL uptake at sites of osseous flare.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.083
GPT teacher head0.407
Teacher spread0.324 · 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 designObservational
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

Citations16
Published2018
Admission routes1
Has abstractyes

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