Literature DB >> 23485507

Optimization of initial prostate biopsy in clinical practice: sampling, labeling and specimen processing.

Marc A Bjurlin1, H Ballentine Carter, Paul Schellhammer, Michael S Cookson, Leonard G Gomella, Dean Troyer, Thomas M Wheeler, Steven Schlossberg, David F Penson, Samir S Taneja.   

Abstract

PURPOSE: An optimal prostate biopsy in clinical practice is based on a balance among adequate detection of clinically significant prostate cancers (sensitivity), assuredness regarding the accuracy of negative sampling (negative predictive value), limited detection of clinically insignificant cancers and good concordance with whole gland surgical pathology results to allow accurate risk stratification and disease localization for treatment selection. Inherent within this optimization is variation of the core number, location, labeling and processing for pathological evaluation. To date, there is no consensus in this regard. The purpose of this review is to 1) define the optimal number and location of biopsy cores during primary prostate biopsy among men with suspected prostate cancer, 2) define the optimal method of labeling prostate biopsy cores for pathological processing which will provide relevant and necessary clinical information for all potential clinical scenarios, and 3) determine the maximal number of prostate biopsy cores allowable within a specimen jar which would not preclude accurate histological evaluation of the tissue.
MATERIALS AND METHODS: A bibliographic search using PubMed® covering the period up to July 2012 yielded approximately 550 articles. Articles were reviewed and categorized based on which of the 3 objectives of this review was addressed. Data were extracted, analyzed and summarized. Recommendations are provided based on this literature review and our clinical experience.
RESULTS: The use of 10 to 12-core extended sampling protocols increases cancer detection rates compared to traditional sextant sampling methods and reduces the likelihood of repeat biopsy by increasing negative predictive value, ultimately allowing more accurate risk stratification without increasing the likelihood of detecting insignificant cancers. As the number of cores increases above 12, the increase in diagnostic yield becomes marginal. Only limited evidence supports the use of initial biopsy schemes involving more than 12 cores or saturation. Apical and laterally directed sampling of the peripheral zone increases cancer detection rate, reduces the need for repeat biopsies and predicts pathological features on prostatectomy while transition zone biopsies do not. There are little data to suggest that knowing the exact site of an individual positive biopsy core provides meaningful clinical information. However, determining laterality of cancer on biopsy may be helpful for predicting sites of extracapsular extension and therapeutic planning. Placement of multiple biopsy cores in a single container (greater than 2) appears to compromise pathological evaluation, which can reduce cancer detection rate and increase the likelihood of equivocal diagnoses.
CONCLUSIONS: A 12-core systematic biopsy that incorporates apical and far-lateral cores in the template distribution allows maximal cancer detection, avoids repeat biopsy, and provides information adequate for identifying men who need therapy and planning that therapy while minimizing the detection of occult, indolent prostate cancers. This literature review does not provide compelling evidence that individual site specific labeling of cores benefits clinical decision making regarding the management of prostate cancer. Based on the available literature, we recommend packaging no more than 2 cores in each jar to avoid reduction of the cancer detection rate through inadequate tissue sampling.
Copyright © 2013 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23485507      PMCID: PMC3925148          DOI: 10.1016/j.juro.2013.02.072

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  42 in total

1.  Individual prostate biopsy core embedding facilitates maximal tissue representation.

Authors:  Jerry Kao; Melissa Upton; Ping Zhang; Seymour Rosen
Journal:  J Urol       Date:  2002-08       Impact factor: 7.450

2.  Current practice of diagnosis and reporting of prostate cancer on needle biopsy among genitourinary pathologists.

Authors:  Lars Egevad; William C Allsbrook; Jonathan I Epstein
Journal:  Hum Pathol       Date:  2006-03       Impact factor: 3.466

3.  Diagnostic effect of an improved preembedding method of prostate needle biopsy specimens.

Authors:  H Rogatsch; P Moser; H Volgger; W Horninger; G Bartsch; G Mikuz; T Mairinger
Journal:  Hum Pathol       Date:  2000-09       Impact factor: 3.466

4.  Does site-specific labelling and individual processing of sextant biopsies improve the accuracy of prostate biopsy in predicting pathological stage in patients with T1c prostate cancer?

Authors:  B Tombal; N Tajeddine; J-P Cosyns; A Feyaerts; R Opsomer; F X Wese; P J Van Cangh
Journal:  BJU Int       Date:  2002-04       Impact factor: 5.588

5.  Needle biopsies on autopsy prostates: sensitivity of cancer detection based on true prevalence.

Authors:  Gabriel P Haas; Nicolas Barry Delongchamps; Richard F Jones; Vishal Chandan; Angel M Serio; Andrew J Vickers; Mary Jumbelic; Gregory Threatte; Rus Korets; Hans Lilja; Gustavo de la Roza
Journal:  J Natl Cancer Inst       Date:  2007-09-25       Impact factor: 13.506

6.  Optimization of prostate biopsy strategy using computer based analysis.

Authors:  M E Chen; P Troncoso; D A Johnston; K Tang; R J Babaian
Journal:  J Urol       Date:  1997-12       Impact factor: 7.450

7.  Sextant prostate biopsies predict side and sextant site of extracapsular extension of prostate cancer.

Authors:  Sean P Elliott; Katsuto Shinohara; Susan L Logan; Peter R Carroll
Journal:  J Urol       Date:  2002-07       Impact factor: 7.450

8.  Role of prostate biopsy schemes in accurate prediction of Gleason scores.

Authors:  Badar M Mian; David J Lehr; Courtenay K Moore; Hugh A G Fisher; Ronald P Kaufman; Jeffery S Ross; Timothy A Jennings; Tipu Nazeer
Journal:  Urology       Date:  2006-02       Impact factor: 2.649

9.  Anterior apical biopsy: is it useful for prostate cancer detection?

Authors:  Kazuhiko Orikasa; Akihiro Ito; Shigeto Ishidoya; Seiichi Saito; Mareyuki Endo; Yoichi Arai
Journal:  Int J Urol       Date:  2008-07-23       Impact factor: 3.369

10.  Extended 21-sample needle biopsy protocol for diagnosis of prostate cancer in 1000 consecutive patients.

Authors:  Guillaume Guichard; Stéphane Larré; Andrea Gallina; Adi Lazar; Hugo Faucon; Stéphanie Chemama; Yves Allory; Jean-Jacques Patard; Dimitri Vordos; Andras Hoznek; René Yiou; Laurent Salomon; Claude Clément Abbou; Alexandre de la Taille
Journal:  Eur Urol       Date:  2007-03-13       Impact factor: 20.096

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  70 in total

Review 1.  [Prostate biopsy: Procedure in the clinical routine].

Authors:  T Enzmann; T Tokas; K Korte; M Ritter; P Hammerer; L Franzaring; H Heynemann; H-W Gottfried; H Bertermann; M Meyer-Schwickerath; B Wirth; A Pelzer; T Loch
Journal:  Urologe A       Date:  2015-12       Impact factor: 0.639

2.  Prostate Cancer Screening and Management in Solid Organ Transplant Candidates and Recipients.

Authors:  Ezequiel Becher; Alex Wang; Herbert Lepor
Journal:  Rev Urol       Date:  2019

Review 3.  Standards for prostate biopsy.

Authors:  Marc A Bjurlin; Samir S Taneja
Journal:  Curr Opin Urol       Date:  2014-03       Impact factor: 2.309

Review 4.  Optimization of prostate biopsy: the role of magnetic resonance imaging targeted biopsy in detection, localization and risk assessment.

Authors:  Marc A Bjurlin; Xiaosong Meng; Julien Le Nobin; James S Wysock; Herbert Lepor; Andrew B Rosenkrantz; Samir S Taneja
Journal:  J Urol       Date:  2014-04-21       Impact factor: 7.450

5.  Molecular Characterization of Prostate Cancer with Associated Gleason Score Using Mass Spectrometry Imaging.

Authors:  Elizabeth C Randall; Giorgia Zadra; Paolo Chetta; Begona G C Lopez; Sudeepa Syamala; Sankha S Basu; Jeffrey N Agar; Massimo Loda; Clare M Tempany; Fiona M Fennessy; Nathalie Y R Agar
Journal:  Mol Cancer Res       Date:  2019-02-11       Impact factor: 5.852

6.  Cylindrical illumination with angular coupling for whole-prostate photoacoustic tomography.

Authors:  Brittani Bungart; Yingchun Cao; Tiffany Yang-Tran; Sean Gorsky; Lu Lan; Darren Roblyer; Michael O Koch; Liang Cheng; Timothy Masterson; Ji-Xin Cheng
Journal:  Biomed Opt Express       Date:  2019-02-22       Impact factor: 3.732

7.  Development of a voided urine assay for detecting prostate cancer non-invasively: a pilot study.

Authors:  Edouard J Trabulsi; Sushil K Tripathi; Leonard Gomella; Charalambos Solomides; Eric Wickstrom; Mathew L Thakur
Journal:  BJU Int       Date:  2017-02-16       Impact factor: 5.588

8.  Clinical Consultation Guide: How to Optimize the Use of Prostate-specific Antigen in the Current Era.

Authors:  Sigrid Carlsson; Hans Lilja; Andrew Vickers
Journal:  Eur Urol Focus       Date:  2015-06-09

Review 9.  VPAC1-targeted PET/CT scan: improved molecular imaging for the diagnosis of prostate cancer using a novel cell surface antigen.

Authors:  Hong Truong; Leonard G Gomella; Mathew L Thakur; Edouard J Trabulsi
Journal:  World J Urol       Date:  2018-03-14       Impact factor: 4.226

Review 10.  Active surveillance for prostate cancer: current evidence and contemporary state of practice.

Authors:  Jeffrey J Tosoian; H Ballentine Carter; Abbey Lepor; Stacy Loeb
Journal:  Nat Rev Urol       Date:  2016-03-08       Impact factor: 14.432

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