Literature DB >> 33090259

Comparison of risk-calculator and MRI and consecutive pathways as upfront stratification for prostate biopsy.

Melline G M Schilham1, Roderick C N van den Bergh1, Daan J Reesink2, Erik J R J van der Hoeven3, Ivo G Schoots4,5, Harm H E van Melick1.   

Abstract

PURPOSE: In biopsy naïve men suspected for prostate cancer (PCa), it is uncertain how a risk-calculator and bi-parametric (bp) MRI should be combined to decide on prostate biopsy, balancing cancer detection rates and diagnostic burden.
METHODS: Prospective, single centre cohort study (August 2018-April 2019). All patients referred with serum PSA ≥ 3 ng/ml or abnormal digital rectal examination received bpMRI and risk for PCa was calculated using the ERSPC risk-calculator. Men with either PI-RADS ≥ 3 or calculator risk-score > 20% were recommended to undergo systematic biopsy (SB) and targeted biopsy (TB) of any visible lesion (reference pathway). Eight different derived diagnostic pathways were compared to the reference pathway regarding cancer detection, number of biopsies and bpMRIs performed.
RESULTS: Of 496 patients; 233 (47%) had a risk-calculator score of > 20%; 201 (41%) had PI-RADS score ≥ 3. The reference pathway detected PCa in 32.1%, clinically significant (cs) PCa in 19.4%, with 41% avoided biopsies, but 0% avoided bpMRI. Stratification with only risk-calculator: 76% csPCa diagnosed, 53% avoided biopsies and 100% avoided bpMRI. Stratification with only bpMRI: 97% csPCa diagnosed, 59% avoided biopsies, but 0% avoided bpMRI. A pathway with risk-calculator first, followed only with bpMRI when high-risk: 81% csPCa diagnosed, 72% avoided biopsies and 53% avoided bpMRI.
CONCLUSION: Upfront bpMRI as a risk stratification tool outperforms risk-calculator in detecting significant disease. Applying the risk-calculator first to decide on performing an MRI, avoids 1 out of 2 MRIs, but up to 1 out of 5 significant cancers are missed.
© 2020. Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Prostate MRI; Prostate biopsy; Prostate cancer; Prostate cancer screening; Risk calculator; Risk-prediction tool

Mesh:

Year:  2020        PMID: 33090259     DOI: 10.1007/s00345-020-03488-2

Source DB:  PubMed          Journal:  World J Urol        ISSN: 0724-4983            Impact factor:   4.226


  17 in total

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Authors:  Samson W Fine; Jonathan I Epstein
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Review 2.  What Is the Negative Predictive Value of Multiparametric Magnetic Resonance Imaging in Excluding Prostate Cancer at Biopsy? A Systematic Review and Meta-analysis from the European Association of Urology Prostate Cancer Guidelines Panel.

Authors:  Paul C Moldovan; Thomas Van den Broeck; Richard Sylvester; Lorenzo Marconi; Joaquim Bellmunt; Roderick C N van den Bergh; Michel Bolla; Erik Briers; Marcus G Cumberbatch; Nicola Fossati; Tobias Gross; Ann M Henry; Steven Joniau; Theo H van der Kwast; Vsevolod B Matveev; Henk G van der Poel; Maria De Santis; Ivo G Schoots; Thomas Wiegel; Cathy Yuhong Yuan; Philip Cornford; Nicolas Mottet; Thomas B Lam; Olivier Rouvière
Journal:  Eur Urol       Date:  2017-03-21       Impact factor: 20.096

3.  EAU-ESTRO-SIOG Guidelines on Prostate Cancer. Part 1: Screening, Diagnosis, and Local Treatment with Curative Intent.

Authors:  Nicolas Mottet; Joaquim Bellmunt; Michel Bolla; Erik Briers; Marcus G Cumberbatch; Maria De Santis; Nicola Fossati; Tobias Gross; Ann M Henry; Steven Joniau; Thomas B Lam; Malcolm D Mason; Vsevolod B Matveev; Paul C Moldovan; Roderick C N van den Bergh; Thomas Van den Broeck; Henk G van der Poel; Theo H van der Kwast; Olivier Rouvière; Ivo G Schoots; Thomas Wiegel; Philip Cornford
Journal:  Eur Urol       Date:  2016-08-25       Impact factor: 20.096

4.  A risk-based strategy improves prostate-specific antigen-driven detection of prostate cancer.

Authors:  Monique J Roobol; Ewout W Steyerberg; Ries Kranse; Tineke Wolters; Roderick C N van den Bergh; Chris H Bangma; Fritz H Schröder
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5.  Histology core-specific evaluation of the European Society of Urogenital Radiology (ESUR) standardised scoring system of multiparametric magnetic resonance imaging (mpMRI) of the prostate.

Authors:  Timur H Kuru; Matthias C Roethke; Philip Rieker; Wilfried Roth; Michael Fenchel; Markus Hohenfellner; Heinz-Peter Schlemmer; Boris A Hadaschik
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Journal:  Am J Surg Pathol       Date:  2014-06       Impact factor: 6.394

7.  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

8.  ESUR prostate MR guidelines 2012.

Authors:  Jelle O Barentsz; Jonathan Richenberg; Richard Clements; Peter Choyke; Sadhna Verma; Geert Villeirs; Olivier Rouviere; Vibeke Logager; Jurgen J Fütterer
Journal:  Eur Radiol       Date:  2012-02-10       Impact factor: 5.315

9.  Personalizing prostate cancer diagnosis with multivariate risk prediction tools: how should prostate MRI be incorporated?

Authors:  Ivo G Schoots; Anwar R Padhani
Journal:  World J Urol       Date:  2019-08-09       Impact factor: 4.226

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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