Literature DB >> 25762729

Prostate biopsy concordance in a large population-based sample: a Surveillance, Epidemiology and End Results study.

David Schreiber1, Andrew T Wong1, Justin Rineer2, Jeremy Weedon3, David Schwartz1.   

Abstract

AIMS: To use the Surveillance, Epidemiology and End Results database in order to evaluate prostate biopsy concordance in a large population-based sample.
METHODS: We identified 34 195 men who were diagnosed with prostate cancer and underwent a radical prostatectomy from 2010 to 2011. All patients also had to have both clinical and pathological Gleason scores available for analysis. The concordance of the biopsy Gleason score to the pathological Gleason score was analysed using the coefficient of agreement (κ). Univariate and multivariate logistic regression analyses were performed to determine potential factors that may impact concordance of Gleason score.
RESULTS: Overall, the clinical and pathological Gleason scores matched in 55.4% of patients. The concordance rates were 55.3% for Gleason 6, 66.9% for Gleason 3+4, 42.9% for Gleason 4+3 and 24.8% for Gleason 8, with frequent downgrading to Gleason 7. The κ for Gleason score concordance was 0.36 (95% CI 0.35 to 0.37), indicating fair agreement. The weighted κ for Gleason score concordance was 0.51 (95% CI 0.50 to 0.52), indicating moderate agreement. Additionally, the Bowker tests of symmetry were highly significant (p<0.001), indicating that when discordant findings were present, pathological upgrading was more common than downgrading.
CONCLUSIONS: This study is, to our knowledge, the largest contemporary study of prostate biopsy concordance. We found that there continues to be significant Gleason migration both upward from biopsy Gleason 6 or 3+4 and downgrading from biopsy Gleason ≥8. Further studies are needed to better determine other potential genomic or biologic factors that may help increase the biopsy Gleason concordance. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25762729     DOI: 10.1136/jclinpath-2014-202767

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  9 in total

Review 1.  Radical Prostatectomy for High-risk Localized or Node-Positive Prostate Cancer: Removing the Primary.

Authors:  Justin T Matulay; G Joel DeCastro
Journal:  Curr Urol Rep       Date:  2017-07       Impact factor: 3.092

2.  Accuracy of cognitive MRI-targeted biopsy in hitting prostate cancer-positive regions of interest.

Authors:  Yannick Cerantola; Eléonore Haberer; Jose Torres; Mona Alameldin; Samuel Aronson; Mark Levental; Franck Bladou; Maurice Anidjar
Journal:  World J Urol       Date:  2015-05-17       Impact factor: 4.226

3.  Gleason grade accuracy of transperineal and transrectal prostate biopsies in MRI-naïve patients.

Authors:  Liang G Qu; Modher Al-Shawi; Tess Howard; Nathan Papa; Cedric Poyet; Brian Kelly; A J Matthew Egan; Nathan Lawrentschuk; Damien Bolton; Gregory S Jack
Journal:  Int Urol Nephrol       Date:  2021-10-08       Impact factor: 2.370

4.  The prognostic value of high-grade prostate cancer pattern on MRI-targeted biopsies: predictors for downgrading and importance of concomitant systematic biopsies.

Authors:  Cécile Manceau; Gaëlle Fromont-Hankard; Jean-Baptiste Beauval; Marine Lesourd; Christophe Almeras; Anne-Sophie Bajeot; Jean-Romain Gautier; Michel Soulié; Guillaume Loison; Ambroise Salin; Christophe Tollon; Bernard Malavaud; Mathieu Roumiguié; Guillaume Ploussard
Journal:  World J Urol       Date:  2021-02-20       Impact factor: 4.226

Review 5.  MRI-targeted prostate biopsy: the next step forward!

Authors:  Emanuel Darius Cata; Iulia Andras; Teodora Telecan; Attila Tamas-Szora; Radu-Tudor Coman; Dan-Vasile Stanca; Ioan Coman; Nicolae Crisan
Journal:  Med Pharm Rep       Date:  2021-04-29

6.  Local staging with multiparametric MRI in daily clinical practice: diagnostic accuracy and evaluation of a radiologic learning curve.

Authors:  B H E Jansen; F H K Oudshoorn; A M Tijans; M J Yska; A P Lont; E R P Collette; J A Nieuwenhuijzen; A N Vis
Journal:  World J Urol       Date:  2018-04-21       Impact factor: 4.226

7.  Extent and predictors of grade upgrading and downgrading in an Australian cohort according to the new prostate cancer grade groupings.

Authors:  Kerri Beckmann; Michael O'Callaghan; Andrew Vincent; Penelope Cohen; Martin Borg; David Roder; Sue Evans; Jeremy Millar; Kim Moretti
Journal:  Asian J Urol       Date:  2019-03-07

8.  A generative adversarial approach to facilitate archival-quality histopathologic diagnoses from frozen tissue sections.

Authors:  Kianoush Falahkheirkhah; Tao Guo; Michael Hwang; Pheroze Tamboli; Christopher G Wood; Jose A Karam; Kanishka Sircar; Rohit Bhargava
Journal:  Lab Invest       Date:  2021-12-28       Impact factor: 5.502

9.  Risk score predicts high-grade prostate cancer in DNA-methylation positive, histopathologically negative biopsies.

Authors:  Leander Van Neste; Alan W Partin; Grant D Stewart; Jonathan I Epstein; David J Harrison; Wim Van Criekinge
Journal:  Prostate       Date:  2016-04-28       Impact factor: 4.104

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.