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Enregistrement W2039457341 · doi:10.1016/j.juro.2013.02.2977

1498 ACTIVE SURVEILLANCE PROSTATE RE-BIOPSY SCHEMA: RESULTS OF ROUTINE TRANSITION ZONE BIOPSIES

2013· article· en· W2039457341 sur OpenAlexaboutno aff
Lih‐Ming Wong, Greg Trottier, Ants Toi, Alexandre R. Zlotta, Narhari Timilshina, Andrew Evans, Theodorus van der Kwast, Michael Jewett, Girish S. Kulkarni, Robert J. Hamilton, John Trachtenberg, Neil Fleshner, Antonio Finelli

Notice bibliographique

RevueThe Journal of Urology · 2013
Typearticle
Langueen
DomaineMedicine
ThématiqueUrologic and reproductive health conditions
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicinePopulation

Résumé

récupéré en direct d'OpenAlex

You have accessJournal of UrologyProstate Cancer: Localized (VII)1 Apr 20131498 ACTIVE SURVEILLANCE PROSTATE RE-BIOPSY SCHEMA: RESULTS OF ROUTINE TRANSITION ZONE BIOPSIES Lih-Ming Wong, Greg Trottier, Ants Toi, Alexandre Zlotta, Narhari Timilshina, Andrew Evans, Theo Van der Kwast, Michael Jewett, Girish Kulkarni, Robert Hamilton, John Trachtenberg, Neil Fleshner, and Antonio Finelli Lih-Ming WongLih-Ming Wong Toronto, Canada , Greg TrottierGreg Trottier Toronto, Canada , Ants ToiAnts Toi Toronto, Canada , Alexandre ZlottaAlexandre Zlotta Toronto, Canada , Narhari TimilshinaNarhari Timilshina Toronto, Canada , Andrew EvansAndrew Evans Toronto, Canada , Theo Van der KwastTheo Van der Kwast Toronto, Canada , Michael JewettMichael Jewett Toronto, Canada , Girish KulkarniGirish Kulkarni Toronto, Canada , Robert HamiltonRobert Hamilton Toronto, Canada , John TrachtenbergJohn Trachtenberg Toronto, Canada , Neil FleshnerNeil Fleshner Toronto, Canada , and Antonio FinelliAntonio Finelli Toronto, Canada View All Author Informationhttps://doi.org/10.1016/j.juro.2013.02.2977AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Prostate re-biopsy schema for most published active surveillance (AS) cohorts is based on a standard extended template sampling the peripheral zone (PZ). In an AS population, we investigate the effect of routine transition zone (TZ) biopsy by examining the amount of TZ cancer found and its subsequent impact on pathological re-classification. METHODS Patients were identified from our tertiary referral centre AS database (1997-2012). Eligibility criteria included PSA <10, clinical stage ≤2, Gleason score (GS) ≤6, number of positive cores (PCore) ≤3, no single core >50% involved, age ≤75 years and at least 1 prostatic re-biopsy after diagnosis. Biopsies of the TZ were taken routinely after the diagnostic biopsy (B1). By mapping location of all PCores found, patients with cancer and pathological re-classification in the TZ could be identified at each AS biopsy. As the number of TZ cores taken is usually limited to 1-2, pathological re-classification for TZ cancers was defined as GS≥7 and/or >50% single core involved. Number of PCores was not used. Logistical regression was performed to identify features at diagnostic biopsy that could predict TZ-only reclassification on the 2nd, otherwise known as the confirmatory biopsy (B2). RESULTS The frequency of cancer, and reclassification, found in the TZ during subsequent biopsies during AS is shown in Table 1. At each re-biopsy, there was a consistent proportion of men that had TZ cancer detected (13.5-16.6%), and TZ re-classification (7.1-9.8%). After excluding men who re-classified in both TZ and PZ, the frequency of TZ-only re-classification at each biopsy was 4.8-8.4%. There was a total 64 TZ-only re-classification events in our cohort. Breakdown of re-classification type was: >50% single core involved (n=47), GS≥7 (n=12), both criteria (n=5). Of the 17 men with TZ grade-related re-classification, most were GS=3+4 (n=15), with few GS4+3 (n=1) and GS 4+4 (n=1). On univariate analysis, only % of core involved at B1 was predictive of TZ-only re-classification at B2 (OR1.04, 1.01-1.09, p=0.008). CONCLUSIONS Routine TZ biopsy during AS detects cancer in ∼15% of men at each biopsy. However, only 5% of men at each biopsy re-classify in only in the TZ, and most of these are with GS 3+4 disease. Our results suggest TZ biopsy could be performed less frequently or even not performed at all during routine AS re-biopsy. Frequency of TZ cancer and TZ re-classification found at each subsequent biopsy during AS Biopsy Number Total number of patients having biopsy Total number of patients that re-classified on biopsy (⁎) Number of patients with cancer found in the TZ Number of patients that had re-classification in the TZ Number of patients that had TZ-only re-classification (#) Biopsy 2 (̂) 622 145 103 (16.6%, 103/622) 58 (9.3%, 58/622) 35 (5.6%, 35/622) Biopsy 3 318 63 43 (13.5%) 23 (7.2%) 16 (5.0%) Biopsy 4 131 21 20 (15.2%) 13 (9.9%) 11 (8.4%) Biopsy 5 42 5 6 (14.3%) 3 (7.1%) 2 (4.8%) Total 172 97 64 ⁎ Re-classification defined as GS > 6, > 50single core involved, number of positive cores > 3. # Number of positive cores not used. (̂) Biopsy 2, otherwise known as the confirmatory biopsy. © 2013 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 189Issue 4SApril 2013Page: e614 Advertisement Copyright & Permissions© 2013 by American Urological Association Education and Research, Inc.MetricsAuthor Information Lih-Ming Wong Toronto, Canada More articles by this author Greg Trottier Toronto, Canada More articles by this author Ants Toi Toronto, Canada More articles by this author Alexandre Zlotta Toronto, Canada More articles by this author Narhari Timilshina Toronto, Canada More articles by this author Andrew Evans Toronto, Canada More articles by this author Theo Van der Kwast Toronto, Canada More articles by this author Michael Jewett Toronto, Canada More articles by this author Girish Kulkarni Toronto, Canada More articles by this author Robert Hamilton Toronto, Canada More articles by this author John Trachtenberg Toronto, Canada More articles by this author Neil Fleshner Toronto, Canada More articles by this author Antonio Finelli Toronto, Canada More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,051
Score d'incertitude au seuil0,170

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0510,023

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,018
Tête enseignante GPT0,278
Écart entre enseignants0,260 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

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