Literature DB >> 31539790

Prostate MRI technical parameters standardization: A systematic review on adherence to PI-RADSv2 acquisition protocol.

Renato Cuocolo1, Arnaldo Stanzione2, Andrea Ponsiglione1, Francesco Verde1, Antonio Ventimiglia1, Valeria Romeo1, Mario Petretta3, Massimo Imbriaco1.   

Abstract

PURPOSE: The Prostate Imaging-Reporting and Data System has been developed to standardize prostate MRI in terms of acquisition, interpretation and reporting. It received a major revision in late 2014 (PI-RADSv2). Recently, doubts have been raised on imaging facilities adherence to its acquisition protocol. With this systematic review, we assessed adherence to PI-RADSv2 minimum technical specifications in literature, to achieve a better understanding of issues limiting their diffusion.
METHOD: Multiple medical literature databases were extensively searched to retrieve original studies published after January 2016 performing prostate MRI. Information pertaining acquisition protocols and patient enrolment were recorded for analysis. Technical parameters were dichotomized in relation to adherence to the corresponding minimal technical requirements.
RESULTS: A total of 150 studies were included for analysis. Only 5% reported every technical parameter specified in the PI-RADSv2 document requirements, none of which completely met guideline specifications. Overall, 19% were in line with PI-RADSv2 for all reported MRI acquisition parameters. The adherence was lowest for T2-weighted frequency in-plane resolution (12%), diffusion-weighted imaging field of view (40%), apparent diffusion coefficient map low b-value (27%) and dynamic contrast-enhanced imaging temporal resolution (43%). Considering its role in image interpretation, it must be highlighted that only 59% of studies reporting diffusion-weighted imaging high b-value follow recommendations.
CONCLUSIONS: Adherence to PI-RADSv2 minimum technical standards is heterogeneous in the scientific community. Our findings endorse the need for greater diffusion of PI-RADSv2 guidelines to achieve protocol standardization and support the notion that some requirements might benefit from streamlining to improve clinical applicability.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diffusion-weighted imaging; Dynamic contrast-enhanced imaging; MRI; PI-RADS; Prostate cancer; Systematic review

Year:  2019        PMID: 31539790     DOI: 10.1016/j.ejrad.2019.108662

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  7 in total

1.  A multifaceted approach to quality in the MRI-directed biopsy pathway for prostate cancer diagnosis.

Authors:  Anwar R Padhani; Ivo G Schoots; Baris Turkbey; Gianluca Giannarini; Jelle O Barentsz
Journal:  Eur Radiol       Date:  2020-11-25       Impact factor: 5.315

2.  Predicting clinically significant prostate cancer from quantitative image features including compressed sensing radial MRI of prostate perfusion using machine learning: comparison with PI-RADS v2 assessment scores.

Authors:  David Jean Winkel; Hanns-Christian Breit; Bibo Shi; Daniel T Boll; Hans-Helge Seifert; Christian Wetterauer
Journal:  Quant Imaging Med Surg       Date:  2020-04

3.  Practice Patterns and Challenges of Performing and Interpreting Prostate MRI: A Survey by the Society of Abdominal Radiology Prostate Disease-Focused Panel.

Authors:  Silvia D Chang; Daniel J A Margolis; Baris Turkbey; Abigail A Arnold; Sadhna Verma
Journal:  AJR Am J Roentgenol       Date:  2021-02-10       Impact factor: 6.582

Review 4.  Prostate cancer screening research can benefit from network medicine: an emerging awareness.

Authors:  Valeria Panebianco; Martina Pecoraro; Giulia Fiscon; Paola Paci; Lorenzo Farina; Carlo Catalano
Journal:  NPJ Syst Biol Appl       Date:  2020-05-07

Review 5.  Current Opinion on the Use of Magnetic Resonance Imaging in Staging Prostate Cancer: A Narrative Review.

Authors:  Jamie Michael; Kevin Neuzil; Ersan Altun; Marc A Bjurlin
Journal:  Cancer Manag Res       Date:  2022-03-01       Impact factor: 3.989

Review 6.  Oncologic Imaging and Radiomics: A Walkthrough Review of Methodological Challenges.

Authors:  Arnaldo Stanzione; Renato Cuocolo; Lorenzo Ugga; Francesco Verde; Valeria Romeo; Arturo Brunetti; Simone Maurea
Journal:  Cancers (Basel)       Date:  2022-10-05       Impact factor: 6.575

7.  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

  7 in total

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