Literature DB >> 22421083

A contemporary update on pathology reporting for prostate cancer: biopsy and radical prostatectomy specimens.

Samson W Fine1, Mahul B Amin, Daniel M Berney, Anders Bjartell, Lars Egevad, Jonathan I Epstein, Peter A Humphrey, Christina Magi-Galluzzi, Rodolfo Montironi, Christian Stief.   

Abstract

CONTEXT: The diagnosis of and reporting parameters for prostate cancer (PCa) have evolved over time, yet they remain key components in predicting clinical outcomes.
OBJECTIVE: Update pathology reporting standards for PCa. EVIDENCE ACQUISITION: A thorough literature review was performed for articles discussing PCa handling, grading, staging, and reporting published as of September 15, 2011. Electronic articles published ahead of print were also considered. Proceedings of recent international conferences addressing these areas were extensively reviewed. EVIDENCE SYNTHESIS: Two main areas of reporting were examined: (1) prostatic needle biopsy, including handling, contemporary Gleason grading, extent of involvement, and high-risk lesions/precursors and (2) radical prostatectomy (RP), including sectioning, multifocality, Gleason grading, staging of organ-confined and extraprostatic disease, lymph node involvement, tumor volume, and lymphovascular invasion. For each category, consensus views, controversial areas, and clinical import were reviewed.
CONCLUSIONS: Modern prostate needle biopsy and RP reports are extremely detailed so as to maximize clinical utility. Accurate diagnosis of cancer-specific features requires up-to-date knowledge of grading, quantitation, and staging criteria. While some areas remain controversial, efforts to codify existing knowledge have had a significant impact on pathology practice.
Copyright © 2012 European Association of Urology. Published by Elsevier B.V. All rights reserved.

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Mesh:

Year:  2012        PMID: 22421083     DOI: 10.1016/j.eururo.2012.02.055

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  19 in total

1.  A Multi-scale U-Net for Semantic Segmentation of Histological Images from Radical Prostatectomies.

Authors:  Jiayun Li; Karthik V Sarma; King Chung Ho; Arkadiusz Gertych; Beatrice S Knudsen; Corey W Arnold
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

2.  Comparison of multiparametric and biparametric MRI of the prostate: are gadolinium-based contrast agents needed for routine examinations?

Authors:  Daniel Junker; Fabian Steinkohl; Veronika Fritz; Jasmin Bektic; Theodoros Tokas; Friedrich Aigner; Thomas R W Herrmann; Michael Rieger; Udo Nagele
Journal:  World J Urol       Date:  2018-08-04       Impact factor: 4.226

3.  Maximum tumor diameter adjusted to the risk profile predicts biochemical recurrence after radical prostatectomy.

Authors:  Georg Müller; Malte Rieken; Gernot Bonkat; Joel Roman Gsponer; Tatjana Vlajnic; Christian Wetterauer; Thomas C Gasser; Stephen F Wyler; Alexander Bachmann; Lukas Bubendorf
Journal:  Virchows Arch       Date:  2014-08-17       Impact factor: 4.064

4.  Re-evaluating the concept of "dominant/index tumor nodule" in multifocal prostate cancer.

Authors:  Cheng Cheng Huang; Fang-Ming Deng; Max X Kong; Qinhu Ren; Jonathan Melamed; Ming Zhou
Journal:  Virchows Arch       Date:  2014-03-12       Impact factor: 4.064

Review 5.  Biparametric MRI of the prostate.

Authors:  Michele Scialpi; Alfredo D'Andrea; Eugenio Martorana; Corrado Maria Malaspina; Maria Cristina Aisa; Maria Napoletano; Emanuele Orlandi; Valeria Rondoni; Pietro Scialpi; Diamante Pacchiarini; Diego Palladino; Michele Dragone; Giancarlo Di Renzo; Annalisa Simeone; Giampaolo Bianchi; Luca Brunese
Journal:  Turk J Urol       Date:  2017-12-01

6.  Predicting the Gleason sum of a patient with a prostate biopsy core Gleason ≤7 and a prostate biopsy core Gleason ≥8.

Authors:  Olivier P Heimrath; Zuzana Kos; Eric C Belanger; Ilias Cagiannos; Chris Morash; Ronald G Gerridzen; Luke T Lavallée; Mark A Preston; Kelsey Witiuk; Rodney H Breau
Journal:  Can Urol Assoc J       Date:  2014-07       Impact factor: 1.862

7.  Characterization of a "low-risk" cohort of grade group 2 prostate cancer patients: Results from the Shared Equal Access Regional Cancer Hospital database.

Authors:  Kathleen F McGinley; Xizi Sun; Lauren E Howard; William J Aronson; Martha K Terris; Christopher J Kane; Christopher L Amling; Matthew R Cooperberg; Stephen J Freedland
Journal:  Int J Urol       Date:  2017-06-06       Impact factor: 3.369

8.  Co-expression of TLR-9 and MMP-13 is associated with the degree of tumour differentiation in prostate cancer.

Authors:  Elham Kalantari; Maryam Abolhasani; Raheleh Roudi; Mohammad M Farajollahi; Seif Farhad; Zahra Madjd; Shaghayegh Askarian-Amiri; Monireh Mohsenzadegan
Journal:  Int J Exp Pathol       Date:  2019-05-14       Impact factor: 1.925

9.  Machine learning approaches to analyze histological images of tissues from radical prostatectomies.

Authors:  Arkadiusz Gertych; Nathan Ing; Zhaoxuan Ma; Thomas J Fuchs; Sadri Salman; Sambit Mohanty; Sanica Bhele; Adriana Velásquez-Vacca; Mahul B Amin; Beatrice S Knudsen
Journal:  Comput Med Imaging Graph       Date:  2015-08-20       Impact factor: 4.790

10.  Guidelines on processing and reporting of prostate biopsies: the 2013 update of the pathology committee of the European Randomized Study of Screening for Prostate Cancer (ERSPC).

Authors:  T Van der Kwast; L Bubendorf; C Mazerolles; M R Raspollini; G J Van Leenders; C-G Pihl; P Kujala
Journal:  Virchows Arch       Date:  2013-08-06       Impact factor: 4.064

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