Literature DB >> 33000302

Natural history of prostate cancer on active surveillance: stratification by MRI using the PRECISE recommendations in a UK cohort.

Francesco Giganti1,2, Armando Stabile3,4, Vasilis Stavrinides3,5, Elizabeth Osinibi3, Adam Retter6,3, Clément Orczyk3,5, Valeria Panebianco7, Bruce J Trock8, Alex Freeman9, Aiman Haider9, Shonit Punwani6,10, Clare Allen6, Alex Kirkham6, Mark Emberton3,5, Caroline M Moore3,5.   

Abstract

OBJECTIVES: The PRECISE recommendations for magnetic resonance imaging (MRI) in patients on active surveillance (AS) for prostate cancer (PCa) include repeated measurement of each lesion, and attribution of a PRECISE radiological progression score for the likelihood of clinically significant change over time. We aimed to compare the PRECISE score with clinical progression in patients who are managed using an MRI-led AS protocol.
METHODS: A total of 553 patients on AS for low- and intermediate-risk PCa (up to Gleason score 3 + 4) who had two or more MRI scans performed between December 2005 and January 2020 were included. Overall, 2161 scans were retrospectively re-reported by a dedicated radiologist to give a PI-RADS v2 score for each scan and assess the PRECISE score for each follow-up scan. Clinical progression was defined by histological progression to ≥ Gleason score 4 + 3 (Gleason Grade Group 3) and/or initiation of active treatment. Progression-free survival was assessed using Kaplan-Meier curves and log-rank test was used to assess differences between curves.
RESULTS: Overall, 165/553 (30%) patients experienced the primary outcome of clinical progression (median follow-up, 74.5 months; interquartile ranges, 53-98). Of all patients, 313/553 (57%) did not show radiological progression on MRI (PRECISE 1-3), of which 296/313 (95%) had also no clinical progression. Of the remaining 240/553 patients (43%) with radiological progression on MRI (PRECISE 4-5), 146/240 (61%) experienced clinical progression (p < 0.0001). Patients with radiological progression on MRI (PRECISE 4-5) showed a trend to an increase in PSA density.
CONCLUSIONS: Patients without radiological progression on MRI (PRECISE 1-3) during AS had a very low likelihood of clinical progression and many could avoid routine re-biopsy. KEY POINTS: • Patients without radiological progression on MRI (PRECISE 1-3) during AS had a very low likelihood of clinical progression and many could avoid routine re-biopsy. • Clinical progression was almost always detectable in patients with radiological progression on MRI (PRECISE 4-5) during AS. • Patients with radiological progression on MRI (PRECISE 4-5) during AS showed a trend to an increase in PSA density.

Entities:  

Keywords:  Biopsy; Magnetic resonance imaging; Prostatic neoplasms; Urogenital neoplasms

Mesh:

Year:  2020        PMID: 33000302      PMCID: PMC7880925          DOI: 10.1007/s00330-020-07256-z

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  29 in total

1.  Prostate-specific antigen kinetics during follow-up are an unreliable trigger for intervention in a prostate cancer surveillance program.

Authors:  Ashley E Ross; Stacy Loeb; Patricia Landis; Alan W Partin; Jonathan I Epstein; Anna Kettermann; Zhaoyong Feng; H Ballentine Carter; Patrick C Walsh
Journal:  J Clin Oncol       Date:  2010-05-03       Impact factor: 44.544

2.  A Decade of Active Surveillance in the PRIAS Study: An Update and Evaluation of the Criteria Used to Recommend a Switch to Active Treatment.

Authors:  Leonard P Bokhorst; Riccardo Valdagni; Antti Rannikko; Yoshiyuki Kakehi; Tom Pickles; Chris H Bangma; Monique J Roobol
Journal:  Eur Urol       Date:  2016-06-19       Impact factor: 20.096

Review 3.  Biases in Recommendations for and Acceptance of Prostate Biopsy Significantly Affect Assessment of Prostate Cancer Risk Factors: Results From Two Large Randomized Clinical Trials.

Authors:  Catherine M Tangen; Phyllis J Goodman; Cathee Till; Jeannette M Schenk; M Scott Lucia; Ian M Thompson
Journal:  J Clin Oncol       Date:  2016-10-28       Impact factor: 44.544

4.  Sequential prostate MRI reporting in men on active surveillance: initial experience of a dedicated PRECISE software program.

Authors:  Francesco Giganti; Clare Allen; Jonathan W Piper; David Mirando; Armando Stabile; Shonit Punwani; Alex Kirkham; Mark Emberton; Caroline M Moore
Journal:  Magn Reson Imaging       Date:  2018-10-20       Impact factor: 2.546

5.  The Movember Foundation's GAP3 cohort: a profile of the largest global prostate cancer active surveillance database to date.

Authors:  Sophie M Bruinsma; Liying Zhang; Monique J Roobol; Chris H Bangma; Ewout W Steyerberg; Daan Nieboer; Mieke Van Hemelrijck
Journal:  BJU Int       Date:  2018-01-18       Impact factor: 5.588

6.  MRI findings in men on active surveillance for prostate cancer: does dutasteride make MRI visible lesions less conspicuous? Results from a placebo-controlled, randomised clinical trial.

Authors:  Francesco Giganti; Caroline M Moore; Nicola L Robertson; Neil McCartan; Charles Jameson; Simon R J Bott; Mathias Winkler; Giulio Gambarota; Brandon Whitcher; Ramiro Castro; Mark Emberton; Clare Allen; Alex Kirkham
Journal:  Eur Radiol       Date:  2017-05-18       Impact factor: 5.315

7.  Interobserver reproducibility of the PRECISE scoring system for prostate MRI on active surveillance: results from a two-centre pilot study.

Authors:  Francesco Giganti; Martina Pecoraro; Vasilis Stavrinides; Armando Stabile; Stefano Cipollari; Alessandro Sciarra; Alex Kirkham; Clare Allen; Shonit Punwani; Mark Emberton; Carlo Catalano; Caroline M Moore; Valeria Panebianco
Journal:  Eur Radiol       Date:  2019-12-16       Impact factor: 5.315

Review 8.  Active surveillance for prostate cancer: a narrative review of clinical guidelines.

Authors:  Sophie M Bruinsma; Chris H Bangma; Peter R Carroll; Michael S Leapman; Antti Rannikko; Neophytos Petrides; Mahesha Weerakoon; Leonard P Bokhorst; Monique J Roobol
Journal:  Nat Rev Urol       Date:  2016-01-27       Impact factor: 14.432

9.  Prostate cancer risk inflation as a consequence of image-targeted biopsy of the prostate: a computer simulation study.

Authors:  Nicola L Robertson; Yipeng Hu; Hashim U Ahmed; Alex Freeman; Dean Barratt; Mark Emberton
Journal:  Eur Urol       Date:  2013-01-03       Impact factor: 20.096

10.  Reporting Magnetic Resonance Imaging in Men on Active Surveillance for Prostate Cancer: The PRECISE Recommendations-A Report of a European School of Oncology Task Force.

Authors:  Caroline M Moore; Francesco Giganti; Peter Albertsen; Clare Allen; Chris Bangma; Alberto Briganti; Peter Carroll; Masoom Haider; Veeru Kasivisvanathan; Alex Kirkham; Laurence Klotz; Adil Ouzzane; Anwar R Padhani; Valeria Panebianco; Peter Pinto; Philippe Puech; Antti Rannikko; Raphaele Renard-Penna; Karim Touijer; Baris Turkbey; Heinrik van Poppel; Riccardo Valdagni; Jochen Walz; Ivo Schoots
Journal:  Eur Urol       Date:  2016-06-24       Impact factor: 20.096

View more
  10 in total

1.  MRI-guided active surveillance in prostate cancer: not yet ready for practice.

Authors:  Guillaume Ploussard; Raphaële Renard-Penna
Journal:  Nat Rev Urol       Date:  2020-12-11       Impact factor: 14.432

2.  [Can progression of prostate cancer be reliably diagnosed using serial magnetic resonance imaging during active surveillance?]

Authors:  Analena Elisa Handke; Markus Graefen; Tim Ullrich; Andreas Wibmer; Boris Alexander Hadaschik; Francesco Giganti; Lars Schimmöller; Jan Philipp Radtke
Journal:  Urologe A       Date:  2021-10-07       Impact factor: 0.639

Review 3.  The current role of MRI for guiding active surveillance in prostate cancer.

Authors:  Guillaume Ploussard; Olivier Rouvière; Morgan Rouprêt; Roderick van den Bergh; Raphaële Renard-Penna
Journal:  Nat Rev Urol       Date:  2022-04-07       Impact factor: 16.430

4.  Unified model involving genomics, magnetic resonance imaging and prostate-specific antigen density outperforms individual co-variables at predicting biopsy upgrading in patients on active surveillance for low risk prostate cancer.

Authors:  Alp Tuna Beksac; Parita Ratnani; Zachary Dovey; Sneha Parekh; Ugo Falagario; Reza Roshandel; Stanislaw Sobotka; Deepshikha Kewlani; Avery Davis; Rachel Weil; Hafis Bashorun; Ivan Jambor; Sara Lewis; Kenneth Haines; Ashutosh K Tewari
Journal:  Cancer Rep (Hoboken)       Date:  2021-12-20

5.  Validation of the multidimensional impact of Cancer Risk Assessment Questionnaire to assess impact of waiting for genome sequencing results.

Authors:  Megan Best; Christine Napier; Timothy Schlub; Nicci Bartley; Barbara Biesecker; Mandy Ballinger; Phyllis Butow
Journal:  Psychooncology       Date:  2022-03-01       Impact factor: 3.955

6.  Bridging the gap between prostate radiology and pathology through machine learning.

Authors:  Indrani Bhattacharya; David S Lim; Han Lin Aung; Xingchen Liu; Arun Seetharaman; Christian A Kunder; Wei Shao; Simon J C Soerensen; Richard E Fan; Pejman Ghanouni; Katherine J To'o; James D Brooks; Geoffrey A Sonn; Mirabela Rusu
Journal:  Med Phys       Date:  2022-06-13       Impact factor: 4.506

Review 7.  [Clinical aspects in the diagnosis and treatment of prostate cancer].

Authors:  Philipp Krausewitz; M Ritter
Journal:  Radiologe       Date:  2021-07-02       Impact factor: 0.635

Review 8.  Active surveillance for prostate cancer.

Authors:  Daniela K Shill; Monique J Roobol; Behfar Ehdaie; Andrew J Vickers; Sigrid V Carlsson
Journal:  Transl Androl Urol       Date:  2021-06

9.  MRI-derived radiomics model for baseline prediction of prostate cancer progression on active surveillance.

Authors:  Nikita Sushentsev; Leonardo Rundo; Oleg Blyuss; Vincent J Gnanapragasam; Evis Sala; Tristan Barrett
Journal:  Sci Rep       Date:  2021-06-21       Impact factor: 4.379

10.  Comparative performance of MRI-derived PRECISE scores and delta-radiomics models for the prediction of prostate cancer progression in patients on active surveillance.

Authors:  Nikita Sushentsev; Leonardo Rundo; Oleg Blyuss; Tatiana Nazarenko; Aleksandr Suvorov; Vincent J Gnanapragasam; Evis Sala; Tristan Barrett
Journal:  Eur Radiol       Date:  2021-07-13       Impact factor: 5.315

  10 in total

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