Literature DB >> 33748877

Techniques and Outcomes of MRI-TRUS Fusion Prostate Biopsy.

Masatomo Kaneko1,2, Dordaneh Sugano1, Amir H Lebastchi1, Vinay Duddalwar3, Jamal Nabhani1, Christopher Haiman4, Inderbir S Gill1, Giovanni E Cacciamani1,3, Andre Luis Abreu5,6.   

Abstract

PURPOSE OF REVIEW: The goal of this study is to review recent findings and evaluate the utility of MRI transrectal ultrasound fusion biopsy (FBx) techniques and discuss future directions. RECENT
FINDINGS: FBx detects significantly higher rates of clinically significant prostate cancer (csPCa) than ultrasound-guided systematic prostate biopsy (SBx), particularly in repeat biopsy settings. FBx has also been shown to detect significantly lower rates of clinically insignificant prostate cancer. In addition, a dedicated prostate MRI can assist in more accurately predicting the Gleason score and provide further information regarding the index cancer location, prostate volume, and clinical stage. The ability to accurately evaluate specific lesions is vital to both focal therapy and active surveillance, for treatment selection, planning, and adequate follow-up. FBx has been demonstrated in multiple high-quality studies to have improved performance in diagnosis of csPCa compared to SBx. The combination of FBx with novel technologies including radiomics, prostate-specific membrane antigen positron emission tomography (PSMA PET), and high-resolution micro-ultrasound may have the potential to further enhance this performance.

Entities:  

Keywords:  Fusion biopsy; Image registration; Magnetic resonance imaging; Prostate cancer; Systematic biopsy; Ultrasonography

Year:  2021        PMID: 33748877     DOI: 10.1007/s11934-021-01037-x

Source DB:  PubMed          Journal:  Curr Urol Rep        ISSN: 1527-2737            Impact factor:   3.092


  60 in total

1.  Clinical staging of prostate cancer: a computer-simulated study of transperineal prostate biopsy.

Authors:  E David Crawford; Shandra S Wilson; Kathleen C Torkko; Daisaku Hirano; J Scott Stewart; Craig Brammell; R Storey Wilson; Nozomu Kawata; Holly Sullivan; M Scott Lucia; Priya N Werahera
Journal:  BJU Int       Date:  2005-11       Impact factor: 5.588

2.  Relationship between systematic biopsies and histological features of 222 radical prostatectomy specimens: lack of prediction of tumor significance for men with nonpalpable prostate cancer.

Authors:  M Noguchi; T A Stamey; J E McNeal; C M Yemoto
Journal:  J Urol       Date:  2001-07       Impact factor: 7.450

3.  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

4.  Update of the Standard Operating Procedure on the Use of Multiparametric Magnetic Resonance Imaging for the Diagnosis, Staging and Management of Prostate Cancer.

Authors:  Marc A Bjurlin; Peter R Carroll; Scott Eggener; Pat F Fulgham; Daniel J Margolis; Peter A Pinto; Andrew B Rosenkrantz; Jonathan N Rubenstein; Daniel B Rukstalis; Samir S Taneja; Baris Turkbey
Journal:  J Urol       Date:  2019-10-23       Impact factor: 7.450

5.  Three-Tesla magnetic resonance-guided prostate biopsy in men with increased prostate-specific antigen and repeated, negative, random, systematic, transrectal ultrasound biopsies: detection of clinically significant prostate cancers.

Authors:  Caroline M A Hoeks; Martijn G Schouten; Joyce G R Bomers; Stefan P Hoogendoorn; Christina A Hulsbergen-van de Kaa; Thomas Hambrock; Henk Vergunst; J P Michiel Sedelaar; Jurgen J Fütterer; Jelle O Barentsz
Journal:  Eur Urol       Date:  2012-02-01       Impact factor: 20.096

6.  A prospective, blinded comparison of magnetic resonance (MR) imaging-ultrasound fusion and visual estimation in the performance of MR-targeted prostate biopsy: the PROFUS trial.

Authors:  James S Wysock; Andrew B Rosenkrantz; William C Huang; Michael D Stifelman; Herbert Lepor; Fang-Ming Deng; Jonathan Melamed; Samir S Taneja
Journal:  Eur Urol       Date:  2013-11-08       Impact factor: 20.096

7.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

8.  The changing face of low-risk prostate cancer: trends in clinical presentation and primary management.

Authors:  Matthew R Cooperberg; Deborah P Lubeck; Maxwell V Meng; Shilpa S Mehta; Peter R Carroll
Journal:  J Clin Oncol       Date:  2004-06-01       Impact factor: 44.544

9.  Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study.

Authors:  Hashim U Ahmed; Ahmed El-Shater Bosaily; Louise C Brown; Rhian Gabe; Richard Kaplan; Mahesh K Parmar; Yolanda Collaco-Moraes; Katie Ward; Richard G Hindley; Alex Freeman; Alex P Kirkham; Robert Oldroyd; Chris Parker; Mark Emberton
Journal:  Lancet       Date:  2017-01-20       Impact factor: 79.321

10.  MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis.

Authors:  Veeru Kasivisvanathan; Antti S Rannikko; Marcelo Borghi; Valeria Panebianco; Lance A Mynderse; Markku H Vaarala; Alberto Briganti; Lars Budäus; Giles Hellawell; Richard G Hindley; Monique J Roobol; Scott Eggener; Maneesh Ghei; Arnauld Villers; Franck Bladou; Geert M Villeirs; Jaspal Virdi; Silvan Boxler; Grégoire Robert; Paras B Singh; Wulphert Venderink; Boris A Hadaschik; Alain Ruffion; Jim C Hu; Daniel Margolis; Sébastien Crouzet; Laurence Klotz; Samir S Taneja; Peter Pinto; Inderbir Gill; Clare Allen; Francesco Giganti; Alex Freeman; Stephen Morris; Shonit Punwani; Norman R Williams; Chris Brew-Graves; Jonathan Deeks; Yemisi Takwoingi; Mark Emberton; Caroline M Moore
Journal:  N Engl J Med       Date:  2018-03-18       Impact factor: 176.079

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  2 in total

1.  Precision interventional radiology.

Authors:  Jiansong Ji; Shiji Fang; Weiqian Chen; Zhongwei Zhao; Yongde Cheng
Journal:  J Interv Med       Date:  2021-12-23

2.  Machine learning prediction of prostate cancer from transrectal ultrasound video clips.

Authors:  Kai Wang; Peizhe Chen; Bojian Feng; Jing Tu; Zhengbiao Hu; Maoliang Zhang; Jie Yang; Ying Zhan; Jincao Yao; Dong Xu
Journal:  Front Oncol       Date:  2022-08-26       Impact factor: 5.738

  2 in total

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