Literature DB >> 28258784

Results of Targeted Biopsy in Men with Magnetic Resonance Imaging Lesions Classified Equivocal, Likely or Highly Likely to Be Clinically Significant Prostate Cancer.

Wulphert Venderink1, Annemarijke van Luijtelaar2, Joyce G R Bomers2, Marloes van der Leest2, Christina Hulsbergen-van de Kaa3, Jelle O Barentsz2, J P Michiel Sedelaar4, Jurgen J Fütterer2.   

Abstract

BACKGROUND: The Prostate Imaging Reporting and Data System (PI-RADS) is the most commonly used scoring system in prostate magnetic resonance imaging (MRI). One of the available techniques to target suspicious lesions is direct in-bore MRI-guided biopsy (MRGB).
OBJECTIVE: To report on the experience and results of MRGB in a large cohort of patients with lesions classified as equivocal (PI-RADS 3), likely (PI-RADS 4), or highly likely (PI-RADS 5) to be clinically significant (cs) prostate cancer (PCa). DESIGN, SETTING, AND PARTICIPANTS: We retrospectively included 1057 patients having MRGB, between January 2012 and September 2016, of lesions classified as PI-RADS≥3 on multiparametric MRI. Biopsy-naïve patients, patients with prior negative systematic transrectal ultrasound-guided biopsy, and patients in active surveillance were included. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The primary outcome measurement is the detection rate of csPCa. Descriptive statistics and chi-square tests were used to calculate the differences in proportions. We considered a Gleason score of ≥3+4 as csPCa. RESULTS AND LIMITATIONS: PCa was diagnosed in 35% (55/156), 60% (223/373), and 91% (479/528), and csPCa in 17% (26/156), 34% (128/373), and 67% (352/528) of patients with PI-RADS 3, 4, and 5 lesions, respectively. Follow-up of patients with negative biopsy findings resulted in csPCa in 1.7% (5/300) after a median period of 41 (interquartile range 25-50) mo. The evaluation of prostate-specific antigen density (PSAD) to predict csPCa resulted in 42% of patients with a PI-RADS 3 lesion who could avoid biopsy in case a PSAD of ≥ 0.15ng/ml/ml would be used. In 6% (95% confidence interval, 2-15), csPCa would then be missed. The study is limited because of its retrospective character.
CONCLUSIONS: MRGB in lesions scored PI-RADS≥3 yields high detection rates of csPCa in daily clinical practice in cases with previous negative biopsy. PATIENT
SUMMARY: In daily clinical practice, direct in-bore magnetic resonance imaging-guided biopsy of suspicious lesions reported according to the Prostate Imaging Reporting and Data System yields high detection rates of clinically significant prostate cancer.
Copyright © 2017 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  In-bore biopsy; Magnetic resonance imaging; Prostate Imaging Reporting and Data System; Prostate cancer

Year:  2017        PMID: 28258784     DOI: 10.1016/j.eururo.2017.02.021

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  33 in total

1.  A Novel Prediction Tool Based on Multiparametric Magnetic Resonance Imaging to Determine the Biopsy Strategy for Clinically Significant Prostate Cancer in Patients with PSA Levels Less than 50 ng/ml.

Authors:  Bi-Ming He; Zhen-Kai Shi; Hu-Sheng Li; Heng-Zhi Lin; Qing-Song Yang; Jian-Ping Lu; Ying-Hao Sun; Hai-Feng Wang
Journal:  Ann Surg Oncol       Date:  2019-12-17       Impact factor: 5.344

Review 2.  PI-RADS Steering Committee: The PI-RADS Multiparametric MRI and MRI-directed Biopsy Pathway.

Authors:  Anwar R Padhani; Jelle Barentsz; Geert Villeirs; Andrew B Rosenkrantz; Daniel J Margolis; Baris Turkbey; Harriet C Thoeny; François Cornud; Masoom A Haider; Katarzyna J Macura; Clare M Tempany; Sadhna Verma; Jeffrey C Weinreb
Journal:  Radiology       Date:  2019-06-11       Impact factor: 11.105

3.  Prostate cancer: A valuable tool for prediction of repeat biopsy pathology.

Authors:  Pierre Karakiewicz; Sebastiano Nazzani
Journal:  Nat Rev Urol       Date:  2017-12-28       Impact factor: 14.432

4.  Multimodality Hyperpolarized C-13 MRS/PET/Multiparametric MR Imaging for Detection and Image-Guided Biopsy of Prostate Cancer: First Experience in a Canine Prostate Cancer Model.

Authors:  Sunitha V Bachawal; Jae Mo Park; Keerthi S Valluru; Mathias Dyrberg Loft; Stephen A Felt; José G Vilches-Moure; Yamil F Saenz; Bruce Daniel; Andrei Iagaru; Geoffrey Sonn; Zhen Cheng; Daniel M Spielman; Jürgen K Willmann
Journal:  Mol Imaging Biol       Date:  2019-10       Impact factor: 3.488

5.  Multicenter analysis of clinical and MRI characteristics associated with detecting clinically significant prostate cancer in PI-RADS (v2.0) category 3 lesions.

Authors:  Bashir Al Hussein Al Awamlh; Leonard S Marks; Geoffrey A Sonn; Shyam Natarajan; Richard E Fan; Michael D Gross; Elizabeth Mauer; Samprit Banerjee; Stefanie Hectors; Sigrid Carlsson; Daniel J Margolis; Jim C Hu
Journal:  Urol Oncol       Date:  2020-04-17       Impact factor: 3.498

6.  Prostate Imaging-Reporting and Data System Steering Committee: PI-RADS v2 Status Update and Future Directions.

Authors:  Anwar R Padhani; Jeffrey Weinreb; Andrew B Rosenkrantz; Geert Villeirs; Baris Turkbey; Jelle Barentsz
Journal:  Eur Urol       Date:  2018-06-13       Impact factor: 20.096

Review 7.  [Artificial intelligence and radiomics in MRI-based prostate diagnostics].

Authors:  Charlie Alexander Hamm; Nick Lasse Beetz; Lynn Jeanette Savic; Tobias Penzkofer
Journal:  Radiologe       Date:  2020-01       Impact factor: 0.635

8.  Prostate Imaging-Reporting and Data System: Comparison of the Diagnostic Performance between Version 2.0 and 2.1 for Prostatic Peripheral Zone.

Authors:  Hyun Soo Kim; Ghee Young Kwon; Min Je Kim; Sung Yoon Park
Journal:  Korean J Radiol       Date:  2021-04-09       Impact factor: 3.500

Review 9.  Rethinking prostate cancer screening: could MRI be an alternative screening test?

Authors:  David Eldred-Evans; Henry Tam; Heminder Sokhi; Anwar R Padhani; Mathias Winkler; Hashim U Ahmed
Journal:  Nat Rev Urol       Date:  2020-07-21       Impact factor: 14.432

10.  Developing a coordinate-based strategy to support cognitive targeted prostate biopsies and correlative spatial-histopathological outcome analysis.

Authors:  Keiran D Clement; Lizzy Day; Helen Rooney; Matt Neilson; Fiona Birrell; Mark Salji; Elizabeth Norman; Ross Clark; Amit Patel; John Morrison; Hing Y Leung
Journal:  Asian J Androl       Date:  2021 May-Jun       Impact factor: 3.285

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