Literature DB >> 32812795

PI-RADS Committee Position on MRI Without Contrast Medium in Biopsy-Naive Men With Suspected Prostate Cancer: Narrative Review.

Ivo G Schoots1,2, Jelle O Barentsz3, Leonardo K Bittencourt4,5, Masoom A Haider6, Katarzyna J Macura7, Daniel J A Margolis8, Caroline M Moore9, Aytekin Oto10, Valeria Panebianco11, Mohummad M Siddiqui12, Clare Tempany13, Baris Turkbey14, Geert M Villeirs15, Jeffrey C Weinreb16, Anwar R Padhani17.   

Abstract

The steadily increasing demand for diagnostic prostate MRI has led to concerns regarding the lack of access to and the availability of qualified MRI scanners and sufficiently experienced radiologists, radiographers, and technologists to meet the demand. Solutions must enhance operational benefits without compromising diagnostic performance, quality, and delivery of service. Solutions should also mitigate risks such as decreased reader confidence and referrer engagement. One approach may be the implementation of MRI without the use gadolinium-based contrast medium (bipara-metric MRI), but only if certain prerequisites such as high-quality imaging, expert interpretation quality, and availability of patient recall or on-table monitoring are mandated. Alternatively, or in combination, a clinical risk-based approach could be used for protocol selection, specifically, which biopsy-naive men need MRI with contrast medium (multiparametric MRI). There is a need for prospective studies in which biopsy decisions are made according to MRI without contrast enhancement. Such studies must define clinical and operational benefits and identify which patient groups can be scanned successfully without contrast enhancement. These higher-quality data are needed before the Prostate Imaging Reporting and Data System (PI-RADS) Committee can make evidence-based recommendations about MRI without contrast enhancement as an initial diagnostic approach for prostate cancer workup.

Entities:  

Keywords:  MRI; PI-RADS; biopsy avoidance; biparametric MRI; dynamic contrast-enhanced; gadolinium contrast medium; multiparametric MRI; prostate cancer; risk stratification; unenhanced MRI

Mesh:

Year:  2020        PMID: 32812795     DOI: 10.2214/AJR.20.24268

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  11 in total

1.  Simplified PI-RADS (S-PI-RADS) for biparametric MRI to detect and manage prostate cancer: What urologists need to know.

Authors:  Michele Scialpi; Pietro Scialpi; Eugenio Martorana; Riccardo Torre; Antonio Improta; Maria Cristina Aisa; Alfredo D'Andrea; Aldo Di Blasi
Journal:  Turk J Urol       Date:  2021-05

2.  Diagnostic Accuracy of Abbreviated Bi-Parametric MRI (a-bpMRI) for Prostate Cancer Detection and Screening: A Multi-Reader Study.

Authors:  Giorgio Brembilla; Francesco Giganti; Harbir Sidhu; Massimo Imbriaco; Sue Mallett; Armando Stabile; Alex Freeman; Hashim U Ahmed; Caroline Moore; Mark Emberton; Shonit Punwani
Journal:  Diagnostics (Basel)       Date:  2022-01-18

3.  Comparison of different thresholds of PSA density for risk stratification of PI-RADSv2.1 categories on prostate MRI.

Authors:  Rossano Girometti; Gianluca Giannarini; Valeria Panebianco; Silvio Maresca; Lorenzo Cereser; Maria De Martino; Stefano Pizzolitto; Martina Pecoraro; Vincenzo Ficarra; Chiara Zuiani; Claudio Valotto
Journal:  Br J Radiol       Date:  2021-11-11       Impact factor: 3.039

Review 4.  Abbreviated MR Protocols in Prostate MRI.

Authors:  Andreas M Hötker; Hebert Alberto Vargas; Olivio F Donati
Journal:  Life (Basel)       Date:  2022-04-07

Review 5.  Current Status of Biparametric MRI in Prostate Cancer Diagnosis: Literature Analysis.

Authors:  Mason James Belue; Enis Cagatay Yilmaz; Asha Daryanani; Baris Turkbey
Journal:  Life (Basel)       Date:  2022-05-28

Review 6.  The use of advanced imaging in guiding the further investigation and treatment of primary prostate cancer.

Authors:  Heying Duan; Andrei Iagaru
Journal:  Cancer Imaging       Date:  2022-09-03       Impact factor: 5.605

7.  Improving workflow in prostate MRI: AI-based decision-making on biparametric or multiparametric MRI.

Authors:  Andreas M Hötker; Raffaele Da Mutten; Anja Tiessen; Ender Konukoglu; Olivio F Donati
Journal:  Insights Imaging       Date:  2021-08-09

8.  ESUR/ESUI position paper: developing artificial intelligence for precision diagnosis of prostate cancer using magnetic resonance imaging.

Authors:  Tobias Penzkofer; Anwar R Padhani; Baris Turkbey; Masoom A Haider; Henkjan Huisman; Jochen Walz; Georg Salomon; Ivo G Schoots; Jonathan Richenberg; Geert Villeirs; Valeria Panebianco; Olivier Rouviere; Vibeke Berg Logager; Jelle Barentsz
Journal:  Eur Radiol       Date:  2021-05-15       Impact factor: 5.315

9.  Bi- or multiparametric MRI in a sequential screening program for prostate cancer with PSA followed by MRI? Results from the Göteborg prostate cancer screening 2 trial.

Authors:  Jonas Wallström; Kjell Geterud; Kimia Kohestani; Stephan E Maier; Marianne Månsson; Carl-Gustaf Pihl; Andreas Socratous; Rebecka Arnsrud Godtman; Mikael Hellström; Jonas Hugosson
Journal:  Eur Radiol       Date:  2021-04-23       Impact factor: 5.315

10.  Convolutional Neural Networks for Automated Classification of Prostate Multiparametric Magnetic Resonance Imaging Based on Image Quality.

Authors:  Stefano Cipollari; Valerio Guarrasi; Martina Pecoraro; Marco Bicchetti; Emanuele Messina; Lorenzo Farina; Paola Paci; Carlo Catalano; Valeria Panebianco
Journal:  J Magn Reson Imaging       Date:  2021-08-09       Impact factor: 5.119

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