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Record W4315606641 · doi:10.1097/rlu.0000000000004544

Port-Site Metastasis Identified on Prostate-Specific Membrane Antigen–Targeted 18F-DCFPyL PET/CT After Robot-Assisted Laparoscopic Radical Prostatectomy

2023· article· en· W4315606641 on OpenAlexaff
Hanan Zahed, Jerome Laufer, Martin LeBlanc, Steven Tisseverasinghe, Tamim Niazi, Stephan Probst

Bibliographic record

VenueClinical Nuclear Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsMedicineProstatectomyProstate cancerLaparoscopic radical prostatectomyMetastasisGlutamate carboxypeptidase IISurgical marginProstate-specific antigenBiochemical recurrenceBiopsyProstateRadiologyUrologyCancerInternal medicine

Abstract

fetched live from OpenAlex

ABSTRACT: Port-site metastasis is an extremely rare complication following minimally invasive oncologic surgery for prostate cancer. We present the case of a 74-year-old man who underwent robot-assisted laparoscopic radical prostatectomy followed by salvage radiotherapy. Despite treatment, he developed biochemical recurrence. However, there was no evidence of disease on CT and bone scan at a prostate-specific antigen of 4.6 ng/mL. Subsequently, 18 F-DCFPyL PET/CT revealed a solitary focus of intense uptake in the right rectus abdominis muscle that was felt to represent a port-site metastasis. Histopathologic evaluation with immunostaining following ultrasound-guided needle biopsy confirmed the presence of metastatic adenocarcinoma of the prostate.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.078
GPT teacher head0.386
Teacher spread0.308 · 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 designCase report
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

Citations2
Published2023
Admission routes1
Has abstractyes

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