Literature DB >> 29551676

Defining the optimal method for reporting prostate cancer grade and tumor extent on magnetic resonance/ultrasound fusion-targeted biopsies.

Jennifer B Gordetsky1, Luciana Schultz2, Kristin K Porter3, Jeffrey W Nix4, John V Thomas3, Maria Del Carmen Rodriguez Pena5, Soroush Rais-Bahrami6.   

Abstract

Magnetic resonance (MR)/ultrasound fusion-targeted biopsy (TB) routinely samples multiple cores from each MR lesion of interest. Pathologists can evaluate the extent of cancer involvement and grade using an individual core (IC) or aggregate (AG) method, which could potentially lead to differences in reporting. We reviewed patients who underwent TB followed by radical prostatectomy (RP). TB cores were evaluated for grade and tumor extent by 2 methods. In the IC method, the grade for each TB lesion was based on the core with the highest Gleason score. Tumor extent for each TB was based on the core with the highest percent of tumor involvement. In the AG method, the tumor from all cores within each TB lesion was aggregated to determine the final composite grade and percentage of tumor involvement. Each method was compared with MR lesional volume, MR lesional density (lesion volume/prostate volume), and RP. Fifty-five patients underwent TB followed by RP. Extent of tumor by the AG method showed a better correlation with target lesion volume (r= 0.27,P= .022) and lesional density (r = 0.32, P = .008) than did the IC method (r= 0.19 [P = .103] andr= 0.22 [P = .062]), respectively. Extent of tumor on TB was associated with extraprostatic extension on RP by the AG method (P= .04), but not by the IC method. This association was significantly higher in patients with a grade group (GG) of 3 or higher (P= .03). A change in cancer grade occurred in 3 patients when comparing methods (2 downgraded GG3 to GG2, 1 downgraded GG4 to GG3 by the AG method). For multiple cores obtained via TB, the AG method better correlates with target lesion volume, lesional density, and extraprostatic extension.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cancer grading; Cancer staging; Multiparametric MR; Pathology; Prostate cancer; Radical prostatectomy

Mesh:

Substances:

Year:  2018        PMID: 29551676     DOI: 10.1016/j.humpath.2018.03.005

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  7 in total

Review 1.  Developing a National Center of Excellence for Prostate Imaging.

Authors:  Annerleim Walton-Diaz; Manuel Madariaga-Venegas; Nicolas Aviles; Juan Carlos Roman; Ivan Gallegos; Mauricio Burotto
Journal:  Curr Urol Rep       Date:  2019-09-02       Impact factor: 3.092

2.  How Would MRI-targeted Prostate Biopsy Alter Radiation Therapy Approaches in Treating Prostate Cancer?

Authors:  Daniel B Dix; Andrew M McDonald; Jennifer B Gordetsky; Jeffrey W Nix; John V Thomas; Soroush Rais-Bahrami
Journal:  Urology       Date:  2018-08-30       Impact factor: 2.649

3.  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

4.  PTEN and ERG detection in multiparametric magnetic resonance imaging/ultrasound fusion targeted prostate biopsy compared to systematic biopsy.

Authors:  Erin Baumgartner; Maria Del Carmen Rodriguez Pena; Marie-Lisa Eich; Kristin K Porter; Jeffrey W Nix; Soroush Rais-Bahrami; Jennifer Gordetsky
Journal:  Hum Pathol       Date:  2019-05-07       Impact factor: 3.466

5.  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

6.  Evaluation of MSKCC Preprostatectomy nomogram in men who undergo MRI-targeted prostate biopsy prior to radical prostatectomy.

Authors:  Zachary A Glaser; Jennifer B Gordetsky; Sejong Bae; Jeffrey W Nix; Kristin K Porter; Soroush Rais-Bahrami
Journal:  Urol Oncol       Date:  2019-09-05       Impact factor: 3.498

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

北京卡尤迪生物科技股份有限公司 © 2022-2023.