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Record W4409182801 · doi:10.1111/bju.16720

The diagnostic value of <scp>MRI</scp> for persistent prostate cancer following irreversible electroporation focal therapy

2025· article· en· W4409182801 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBritish Journal of Urology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Inactivation Methods
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineProstate cancerProstateMagnetic resonance imagingIrreversible electroporationBiopsyCancerConfidence intervalProstate biopsyRadiologyUrologyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate the diagnostic value of magnetic resonance imaging (MRI) for persistent prostate cancer after irreversible electroporation (IRE) therapy. PATIENTS AND METHODS: This is a post hoc analysis from a multicentre randomised trial, in which men with localised low- to intermediate-risk prostate cancer were randomised to receive either focal or extended IRE ablation. All patients underwent repeat MRI scans at 6 and 12 months and transperineal template mapping biopsy (TMB) at 6 months post-IRE. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of MRI were calculated for infield and outfield lesions using 2 × 2 contingency tables with 95% confidence intervals (CIs) for clinically significant prostate cancer and any-grade prostate cancer. RESULTS: A total of 106 patients were recruited to this study, including 39 patients (37%) with clinically insignificant prostate cancer and 67 patients (63%) with clinically significant prostate cancer (International Society of Urological Pathology grade ≥2). Of these, 101 patients underwent repeat MRI scan and prostate biopsy at 6 months after IRE. The rate of clinically significant prostate cancer detected by TMB infield and outfield was 9.9% (10/101) and 9.9% (10/101), respectively. In the treated area, the sensitivity, specificity, PPV and NPV for MRI to detect clinically significant prostate cancer were 30% (95% CI 6.7%-65%), 91% (95% CI 82%-96%), 27% (95% CI 6.0%-61%) and 92% (95% CI 84%-97%), respectively. In the untreated area, the sensitivity, specificity, PPV and NPV of MRI to detect clinically significant prostate cancer were 20% (95% CI 2.5%-56%), 91% (95% CI 82%-96%), 20% (95% CI 2.5%-56%) and 91% (95% CI 82%-96%), respectively. CONCLUSION: Favourable specificity but poor sensitivity was achieved with use of MRI to detect persistent clinically significant prostate cancer after IRE treatment. Repeat TMB should not be deferred, regardless of MRI results.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.348
Threshold uncertainty score0.296

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.009
GPT teacher head0.286
Teacher spread0.277 · 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