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Record W4282937964 · doi:10.1148/radiol.211836

Impact of <sup>18</sup>F-DCFPyL PET on Staging and Treatment of Unfavorable Intermediate or High-Risk Prostate Cancer

2022· article· en· W4282937964 on OpenAlexafffund
Adriano Basso Dias, Antonio Finelli, Glenn Bauman, Patrick Veit‐Haibach, Alejandro Berlín, Claudia Ortega, Lisa Avery, Ur Metser

Bibliographic record

VenueRadiology · 2022
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsPrincess Margaret Cancer CentreWomen's College HospitalUniversity of TorontoUniversity Health NetworkMount Sinai HospitalWestern University
FundersOntario Ministry of Health and Long-Term Care
KeywordsMedicineMcNemar's testProstate cancerNuclear medicinePET-CTRadiologyBiopsyProspective cohort studyCancerBiochemical recurrencePositron emission tomographyProstatectomyInternal medicine

Abstract

fetched live from OpenAlex

Background Data regarding 2-(3-{1-carboxy-5-[(6-[18F]fluoro-pyridine 3-carbonyl)-amino]-pentyl}-ureido)-pentanedioic acid (18F-DCFPyL) PET in primary staging of prostate cancer (PCa) are limited. Purpose To compare the performance of 18F-DCFPyL PET/CT or PET/MRI (PET) with bone scan and CT with or without multiparametric MRI (hereafter, referred to as conventional imaging) in the initial staging of men with unfavorable intermediate or high-risk PCa and to assess treatment change after PET. Materials and Methods This prospective study evaluated men with biopsy-proven, untreated, unfavorable intermediate or high-risk PCa with 0 to four metastases or equivocal for extensive metastases (more than four) who underwent PET between May 2018 and December 2020. The diagnostic performance of PET in detecting pelvic nodal and distant metastases was compared with conventional imaging alone. Metastatic sites at conventional imaging and PET were compared with a composite reference standard including histopathologic analysis, correlative imaging, and/or clinical and biochemical follow-up. The intended treatment before PET was compared with the treatment plan established after performing PET. Detection rate, sensitivity, and specificity of conventional imaging and PET were compared by using McNemar exact test on paired proportions. Results The study consisted of 108 men (median age, 66 years; IQR, 61–73 years) with no metastases (n = 84), with oligometastases (four or fewer metastases; 22 men), or with equivocal findings for extensive metastases (n = 2). Detection rates at PET and conventional imaging for nodal metastases were 34% (37 of 108) and 11% (12 of 108) (P < .001), respectively, and those for distant metastases were 22% (24 of 108) and 10% (11 of 108) (P = .02), respectively. PET altered stage in 43 of 108 (40%) and treatment in 24 of 108 (22%) men. The most frequent treatment change was from systemic to local-regional therapy in 10 of 108 (9%) and from local-regional to systemic therapy in nine of 108 (8%) men. Equivocal findings were encountered less frequently with PET (one of 108; 1%) than with conventional imaging (29 of 108; 27%). Conclusion Initial staging with 2-(3-{1-carboxy-5-[(6-[18F]fluoro-pyridine 3-carbonyl)-amino]-pentyl}-ureido)-pentanedioic acid (18F-DCFPyL) PET after conventional imaging (bone scan and CT with or without multiparametric MRI) helped to detect more nodal and distant metastases than conventional imaging alone and changed treatment in 22% of men. Clinical trial registration no. NCT03535831, NCT03718260 © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Jadvar in this issue.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.126
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.028
GPT teacher head0.348
Teacher spread0.320 · 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 teacher head, not a consensus.

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

Citations23
Published2022
Admission routes2
Has abstractyes

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