Literature DB >> 29720406

Contemporary prostate biopsy reporting: insights from a survey of clinicians' use of pathology data.

Murali Varma1, Krishna Narahari2, Malcolm Mason3, Jon D Oxley4, Daniel M Berney5.   

Abstract

AIM: To determine how clinicians use data in contemporary prostate biopsy reports.
METHODS: A survey was circulated to members of the British Association of Urological Surgeons and the British Uro-oncology Group.
RESULTS: Responses were received from 114 respondents (88 urologists, 26 oncologists). Ninety-seven (94%) use the number of positive cores from each side and 43 (42%) use the % number of positive cores. When determining the number and percentage of positive cores, 72 (71%) would not differentiate between targeted and non-targeted samples. If multiple Gleason Scores (GS) were included in a report, 77 (78%) would use the worst GS even if present in a core with very little tumour, 12% would use the global GS and 10% the GS in the core most involved by tumour. Fifty-five (55%) either never or rarely used perineural invasion for patient management.
CONCLUSIONS: The number of positive cores is an important parameter for patient management but may be difficult to determine in the laboratory due to core fragmentation so the biopsy taker must indicate the number of biopsies obtained. Multiple biopsies taken from a single site are often interpreted by clinicians as separate cores when determining the number of positive cores so pathologists should also report the number of sites positive. Clinicians have a non-uniform approach to the interpretation of multiple GS in prostate biopsy reports so we recommend that pathologists also include a single 'bottom-line' GS for each case to direct the clinician's treatment decision. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  genitourinary pathology; prostate; urogenital pathology

Mesh:

Year:  2018        PMID: 29720406     DOI: 10.1136/jclinpath-2018-205093

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


  7 in total

1.  Target prostate biopsies: How best to report in synoptic format?

Authors:  Michelle R Downes; John R Srigley; Andrew Loblaw; Nathan Perlis; Sangeet Ghai; Theodorus van der Kwast
Journal:  Can Urol Assoc J       Date:  2022-04       Impact factor: 1.862

2.  Practice patterns related to prostate cancer grading: results of a 2019 Genitourinary Pathology Society clinician survey.

Authors:  Samson W Fine; Kiril Trpkov; Mahul B Amin; Ferran Algaba; Manju Aron; Dilek E Baydar; Antonio Lopez Beltran; Fadi Brimo; John C Cheville; Maurizio Colecchia; Eva Comperat; Tony Costello; Isabela Werneck da Cunha; Warick Delprado; Angelo M DeMarzo; Giovanna A Giannico; Jennifer B Gordetsky; Charles C Guo; Donna E Hansel; Michelle S Hirsch; Jiaoti Huang; Peter A Humphrey; Rafael E Jimenez; Francesca Khani; Max X Kong; Oleksandr N Kryvenko; L Priya Kunju; Priti Lal; Mathieu Latour; Tamara Lotan; Fiona Maclean; Cristina Magi-Galluzzi; Rohit Mehra; Santosh Menon; Hiroshi Miyamoto; Rodolfo Montironi; George J Netto; Jane K Nguyen; Adeboye O Osunkoya; Anil Parwani; Christian P Pavlovich; Brian D Robinson; Mark A Rubin; Rajal B Shah; Jeffrey S So; Hiroyuki Takahashi; Fabio Tavora; Maria S Tretiakova; Lawrence True; Sara E Wobker; Ximing J Yang; Ming Zhou; Debra L Zynger; Jonathan I Epstein
Journal:  Urol Oncol       Date:  2020-09-15       Impact factor: 2.954

3.  The percentage of high-grade prostatic adenocarcinoma in prostate biopsies significantly improves on Grade Groups in the prediction of prostate cancer death.

Authors:  Daniel M Berney; Luis Beltran; Holly Sandu; Geraldine Soosay; Henrik Møller; Peter Scardino; Jacqueline Murphy; Amar Ahmad; Jack Cuzick
Journal:  Histopathology       Date:  2019-08-13       Impact factor: 5.087

4.  Predicting Gleason sum upgrading from biopsy to radical prostatectomy pathology: a new nomogram and its internal validation.

Authors:  Xiaochuan Wang; Yu Zhang; Fengbo Zhang; Zhengguo Ji; Peiqian Yang; Ye Tian
Journal:  BMC Urol       Date:  2021-01-06       Impact factor: 2.264

5.  An independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy.

Authors:  Sudhir Perincheri; Angelique Wolf Levi; Romulo Celli; Peter Gershkovich; David Rimm; Jon Stanley Morrow; Brandon Rothrock; Patricia Raciti; David Klimstra; John Sinard
Journal:  Mod Pathol       Date:  2021-03-29       Impact factor: 7.842

6.  Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies.

Authors:  Patricia Raciti; Jillian Sue; Rodrigo Ceballos; Ran Godrich; Jeremy D Kunz; Supriya Kapur; Victor Reuter; Leo Grady; Christopher Kanan; David S Klimstra; Thomas J Fuchs
Journal:  Mod Pathol       Date:  2020-05-11       Impact factor: 8.209

7.  The 2019 International Society of Urological Pathology (ISUP) Consensus Conference on Grading of Prostatic Carcinoma.

Authors:  Geert J L H van Leenders; Theodorus H van der Kwast; David J Grignon; Andrew J Evans; Glen Kristiansen; Charlotte F Kweldam; Geert Litjens; Jesse K McKenney; Jonathan Melamed; Nicholas Mottet; Gladell P Paner; Hemamali Samaratunga; Ivo G Schoots; Jeffry P Simko; Toyonori Tsuzuki; Murali Varma; Anne Y Warren; Thomas M Wheeler; Sean R Williamson; Kenneth A Iczkowski
Journal:  Am J Surg Pathol       Date:  2020-08       Impact factor: 6.298

  7 in total

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