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Optimization of Initial Prostate Biopsy in Clinical Practice: Sampling, Labeling and Specimen Processing

医学 前列腺活检 前列腺 采样(信号处理) 活检 放射科 医学物理学 内科学 计算机视觉 计算机科学 滤波器(信号处理) 癌症
作者
Marc A. Bjurlin,H. Ballentine Carter,Paul Schellhammer,Michael S. Cookson,Leonard G. Gomella,Dean A. Troyer,Thomas M. Wheeler,Steven M. Schlossberg,David F. Penson,Samir S. Taneja
出处
期刊:The Journal of Urology [Lippincott Williams & Wilkins]
卷期号:189 (6): 2039-2046 被引量:203
标识
DOI:10.1016/j.juro.2013.02.072
摘要

No AccessJournal of UrologyReview Article1 Jun 2013Optimization of Initial Prostate Biopsy in Clinical Practice: Sampling, Labeling and Specimen Processing Marc A. Bjurlin, H. Ballentine Carter, Paul Schellhammer, Michael S. Cookson, Leonard G. Gomella, Dean Troyer, Thomas M. Wheeler, Steven Schlossberg, David F. Penson, and Samir S. Taneja Marc A. BjurlinMarc A. Bjurlin Division of Urologic Oncology, Department of Urology, New York University Langone Medical Center, New York, New York More articles by this author , H. Ballentine CarterH. Ballentine Carter Department of Urology, Johns Hopkins School of Medicine, Baltimore, Maryland More articles by this author , Paul SchellhammerPaul Schellhammer Eastern Virginia Medical School, Urology of Virginia, Norfolk, Virginia More articles by this author , Michael S. CooksonMichael S. Cookson Vanderbilt University Medical Center, Nashville, Tennessee More articles by this author , Leonard G. GomellaLeonard G. Gomella Department of Urology, Thomas Jefferson University, Philadelphia, Pennsylvania More articles by this author , Dean TroyerDean Troyer Pathology Sciences Medical Group, Sentara Norfolk General Hospital, and Departments of Pathology, and Microbiology and Molecular Biology, Eastern Virginia Medical School, Norfolk Virginia More articles by this author , Thomas M. WheelerThomas M. Wheeler Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas More articles by this author , Steven SchlossbergSteven Schlossberg Yale School of Medicine, Yale New Haven Health System, New Haven, Connecticut More articles by this author , David F. PensonDavid F. Penson Vanderbilt University Medical Center, Nashville, Tennessee More articles by this author , and Samir S. TanejaSamir S. Taneja Division of Urologic Oncology, Department of Urology, New York University Langone Medical Center, New York, New York More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2013.02.072AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail 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. 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Letter.Journal of Urology, VOL. 205, NO. 6, (1843-1843), Online publication date: 1-Jun-2021.Feuer Z, Meng X, Rosenkrantz A, Kasivisvanathan V, Moore C, Huang R, Deng F, Lepor H, Wysock J, Huang W and Taneja S (2020) Application of the PRECISION Trial Biopsy Strategy to a Contemporary Magnetic Resonance Imaging-Targeted Biopsy Cohort—How Many Clinically Significant Prostate Cancers are Missed?Journal of Urology, VOL. 205, NO. 3, (740-747), Online publication date: 1-Mar-2021.Wang A, Oonnor L, Yerram N, Long L, Zeng J, Mehralivand S, Harmon S, Lebastchi A, Ahdoot M, Gomella P, Gurram S, Choyke P, Merino M, Shih J, Wood B, Turkbey B and Pinto P (2020) PI-RADS® Category as a Predictor of Progression to Unfavorable Risk Prostate Cancer in Men on Active SurveillanceJournal of Urology, VOL. 204, NO. 6, (1229-1235), Online publication date: 1-Dec-2020.Stone N, Crawford E, Skouteris V, Arangua P, Metsinis P, Lucia M, La Rosa F and Werahera P (2019) The Ratio of the Number of Biopsy Specimens to Prostate Volume (Biopsy Density) Greater Than 1.5 Improves the Prostate Cancer Detection Rate in Men Undergoing Transperineal Biopsy of the ProstateJournal of Urology, VOL. 202, NO. 2, (264-271), Online publication date: 1-Aug-2019.Lewicki P, Shoag J, Golombos D, Oromendia C, Ballman K, Halpern J, Stone B, O’Malley P, Barbieri C and Scherr D (2016) Prognostic Significance of a Negative Prostate Biopsy: An Analysis of Subjects Enrolled in a Prostate Cancer Screening TrialJournal of Urology, VOL. 197, NO. 4, (1014-1019), Online publication date: 1-Apr-2017.Rosenkrantz A, Verma S, Choyke P, Eberhardt S, Eggener S, Gaitonde K, Haider M, Margolis D, Marks L, Pinto P, Sonn G and Taneja S (2016) Prostate Magnetic Resonance Imaging and Magnetic Resonance Imaging Targeted Biopsy in Patients with a Prior Negative Biopsy: A Consensus Statement by AUA and SARJournal of Urology, VOL. 196, NO. 6, (1613-1618), Online publication date: 1-Dec-2016.Delongchamps N, Portalez D, Bruguière E, Rouvière O, Malavaud B, Mozer P, Fiard G and Cornud F (2016) Are Magnetic Resonance Imaging-Transrectal Ultrasound Guided Targeted Biopsies Noninferior to Transrectal Ultrasound Guided Systematic Biopsies for the Detection of Prostate Cancer?Journal of Urology, VOL. 196, NO. 4, (1069-1075), Online publication date: 1-Oct-2016.Taneja S (2016) Re: Gleason Misclassification Rate is Independent of Number of Biopsy Cores in Systematic BiopsyJournal of Urology, VOL. 196, NO. 2, (413-414), Online publication date: 1-Aug-2016.Thompson J, van Leeuwen P, Moses D, Shnier R, Brenner P, Delprado W, Pulbrook M, Böhm M, Haynes A, Hayen A and Stricker P (2015) The Diagnostic Performance of Multiparametric Magnetic Resonance Imaging to Detect Significant Prostate CancerJournal of Urology, VOL. 195, NO. 5, (1428-1435), Online publication date: 1-May-2016.Bjurlin M, Meng X, Le Nobin J, Wysock J, Lepor H, Rosenkrantz A and Taneja S (2014) Optimization of Prostate Biopsy: the Role of Magnetic Resonance Imaging Targeted Biopsy in Detection, Localization and Risk AssessmentJournal of Urology, VOL. 192, NO. 3, (648-658), Online publication date: 1-Sep-2014.Taneja S (2014) Re: Fragmentation of Transrectal Ultrasound-Guided Biopsy Cores is Influenced by the Method of Specimen RetrievalJournal of Urology, VOL. 192, NO. 1, (127-128), Online publication date: 1-Jul-2014.Thompson J, Moses D, Shnier R, Brenner P, Delprado W, Ponsky L, Pulbrook M, Böhm M, Haynes A, Hayen A and Stricker P (2014) Multiparametric Magnetic Resonance Imaging Guided Diagnostic Biopsy Detects Significant Prostate Cancer and could Reduce Unnecessary Biopsies and Over Detection: A Prospective StudyJournal of Urology, VOL. 192, NO. 1, (67-74), Online publication date: 1-Jul-2014. Volume 189Issue 6June 2013Page: 2039-2046 Advertisement Copyright & Permissions© 2013 by American Urological Association Education and Research, Inc.Keywordsprostatic neoplasmsbiopsypathologyAcknowledgmentsDr. Ming Zhou, Department of Pathology, New York University, provided the images of the prostate biopsy slides.MetricsAuthor Information Marc A. Bjurlin Division of Urologic Oncology, Department of Urology, New York University Langone Medical Center, New York, New York More articles by this author H. Ballentine Carter Department of Urology, Johns Hopkins School of Medicine, Baltimore, Maryland More articles by this author Paul Schellhammer Eastern Virginia Medical School, Urology of Virginia, Norfolk, Virginia More articles by this author Michael S. Cookson Vanderbilt University Medical Center, Nashville, Tennessee More articles by this author Leonard G. Gomella Department of Urology, Thomas Jefferson University, Philadelphia, Pennsylvania More articles by this author Dean Troyer Pathology Sciences Medical Group, Sentara Norfolk General Hospital, and Departments of Pathology, and Microbiology and Molecular Biology, Eastern Virginia Medical School, Norfolk Virginia More articles by this author Thomas M. Wheeler Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas More articles by this author Steven Schlossberg Yale School of Medicine, Yale New Haven Health System, New Haven, Connecticut More articles by this author David F. Penson Vanderbilt University Medical Center, Nashville, Tennessee More articles by this author Samir S. Taneja Division of Urologic Oncology, Department of Urology, New York University Langone Medical Center, New York, New York More articles by this author Expand All Advertisement PDF downloadLoading ...
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