Literature DB >> 22394583

A biopsy simulation study to assess the accuracy of several transrectal ultrasonography (TRUS)-biopsy strategies compared with template prostate mapping biopsies in patients who have undergone radical prostatectomy.

Yipeng Hu1, Hashim U Ahmed, Tim Carter, Nimalan Arumainayagam, Emilie Lecornet, Winston Barzell, Alex Freeman, Pierre Nevoux, David J Hawkes, Arnauld Villers, Mark Emberton, Dean C Barratt.   

Abstract

UNLABELLED: What's known on the subject? and What does the study add? Transrectal ultrasonography (TRUS)-guided biopsies can miss prostate cancer and misclassify risk in a diagnostic setting; the exact extent to which it does so in a repeat biopsy strategy in men with low-intermediate risk prostate cancer is unknown. A simulation study of different biopsy strategies showed that repeat 12-core TRUS biopsy performs poorly. Adding anterior sampling improves on this but the highest accuracy is achieved using transperineal template prostate mapping using a 5 mm sampling frame.
OBJECTIVE: To determine the effectiveness of two sampling strategies; repeat transrectal ultrasonography (TRUS)-biopsy and transperineal template prostate mapping (TPM) to detect and exclude lesions of ≥0.2 mL or ≥0.5 mL using computer simulation on reconstructed three-dimensional (3-D) computer models of radical whole-mount specimens. PATIENTS AND METHODS: Computer simulation on reconstructed 3-D computer models of radical whole-mount specimens was used to evaluate the performance characteristics of repeat TRUS-biopsy and TPM to detect and exclude lesions of ≥0.2 mL or ≥0.5 mL. In all, 107 consecutive cases were analysed (1999-2001) with simulations repeated 500 times for each biopsy strategy. TPM and five different TRUS-biopsy strategies were simulated; the latter involved a standard 12-core sampling and incorporated variable amounts of error, as well as the addition of anterior cores. Sensitivity, specificity, negative and positive predictive values for detection of lesions with a volume of ≥0.2 mL or ≥0.5 mL were calculated.
RESULTS: The mean (SD) age and PSA concentration were 61 (6.4) years and 8.5 (5.9) ng/mL, respectively.In all, 53% (57/107) had low-intermediate risk disease. In all, 665 foci were reconstructed; there were 149 foci ≥0.2 mL and 97 ≥ 0.5 mL in the full cohort and 68 ≥ 0.2 mL and 43 ≥ 0.5 mL in the low-intermediate risk group. Overall, TPM accuracy (area under the receiver operating curve, AUC) was ≈0.90 compared with AUC 0.70-0.80 for TRUS-biopsy. In addition, at best, TRUS-biopsy missed 30-40% of lesions of ≥0.2 mL and ≥0.5 mL whilst TPM missed 5% of such lesions.
CONCLUSION: TPM under simulation conditions appears the most effective re-classification strategy, although augmented TRUS-biopsy techniques are better than standard TRUS-biopsy.
© 2012 THE AUTHORS. BJU INTERNATIONAL © 2012 BJU INTERNATIONAL.

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Mesh:

Year:  2012        PMID: 22394583     DOI: 10.1111/j.1464-410X.2012.10933.x

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  26 in total

1.  Validating multiparametric MRI for diagnosis and monitoring of prostate cancer in patients for active surveillance.

Authors:  Iqbal Sahibzada; Deepak Batura; Giles Hellawell
Journal:  Int Urol Nephrol       Date:  2016-01-12       Impact factor: 2.370

Review 2.  Transperineal biopsy of the prostate--is this the future?

Authors:  Dwayne T S Chang; Benjamin Challacombe; Nathan Lawrentschuk
Journal:  Nat Rev Urol       Date:  2013-09-24       Impact factor: 14.432

3.  Multiparametric MRI for detection of radiorecurrent prostate cancer: added value of apparent diffusion coefficient maps and dynamic contrast-enhanced images.

Authors:  M Abd-Alazeez; N Ramachandran; N Dikaios; H U Ahmed; M Emberton; A Kirkham; M Arya; S Taylor; S Halligan; S Punwani
Journal:  Prostate Cancer Prostatic Dis       Date:  2015-02-03       Impact factor: 5.554

Review 4.  Toward a Framework for Outcome-Based Analytical Performance Specifications: A Methodology Review of Indirect Methods for Evaluating the Impact of Measurement Uncertainty on Clinical Outcomes.

Authors:  Alison F Smith; Bethany Shinkins; Peter S Hall; Claire T Hulme; Mike P Messenger
Journal:  Clin Chem       Date:  2019-08-23       Impact factor: 8.327

5.  Prostate MRI, with or without MRI-targeted biopsy, and systematic biopsy for detecting prostate cancer.

Authors:  Frank-Jan H Drost; Daniël F Osses; Daan Nieboer; Ewout W Steyerberg; Chris H Bangma; Monique J Roobol; Ivo G Schoots
Journal:  Cochrane Database Syst Rev       Date:  2019-04-25

6.  Clinical-pathologic correlation between transperineal mapping biopsies of the prostate and three-dimensional reconstruction of prostatectomy specimens.

Authors:  E David Crawford; Kyle O Rove; Al B Barqawi; Paul D Maroni; Priya N Werahera; Craig A Baer; Hari K Koul; Cory A Rove; M Scott Lucia; Francisco G La Rosa
Journal:  Prostate       Date:  2012-11-20       Impact factor: 4.104

7.  The use of targeted MR-guided prostate biopsy reduces the risk of Gleason upgrading on radical prostatectomy.

Authors:  Christian Arsov; Nikolaus Becker; Robert Rabenalt; Andreas Hiester; Michael Quentin; Frederic Dietzel; Gerald Antoch; Helmut E Gabbert; Peter Albers; Lars Schimmöller
Journal:  J Cancer Res Clin Oncol       Date:  2015-05-27       Impact factor: 4.553

8.  Performance of multiparametric MRI in men at risk of prostate cancer before the first biopsy: a paired validating cohort study using template prostate mapping biopsies as the reference standard.

Authors:  M Abd-Alazeez; A Kirkham; H U Ahmed; M Arya; E Anastasiadis; S C Charman; A Freeman; M Emberton
Journal:  Prostate Cancer Prostatic Dis       Date:  2013-10-15       Impact factor: 5.554

9.  Improved Characterization of Diffusion in Normal and Cancerous Prostate Tissue Through Optimization of Multicompartmental Signal Models.

Authors:  Christopher C Conlin; Christine H Feng; Ana E Rodriguez-Soto; Roshan A Karunamuni; Joshua M Kuperman; Dominic Holland; Rebecca Rakow-Penner; Michael E Hahn; Tyler M Seibert; Anders M Dale
Journal:  J Magn Reson Imaging       Date:  2020-10-31       Impact factor: 4.813

10.  Voxel-level Classification of Prostate Cancer on Magnetic Resonance Imaging: Improving Accuracy Using Four-Compartment Restriction Spectrum Imaging.

Authors:  Christine H Feng; Christopher C Conlin; Kanha Batra; Ana E Rodríguez-Soto; Roshan Karunamuni; Aaron Simon; Joshua Kuperman; Rebecca Rakow-Penner; Michael E Hahn; Anders M Dale; Tyler M Seibert
Journal:  J Magn Reson Imaging       Date:  2021-03-31       Impact factor: 5.119

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