Literature DB >> 34842957

PI-QUAL v.1: the first step towards good-quality prostate MRI.

Maarten de Rooij1, Jelle O Barentsz2.   

Abstract

KEY POINTS: • It is mandatory to evaluate the image quality of a prostate MRI scan, and to mention this quality in the report. • PI-QUAL v1 is an essential starting tool to standardize the evaluation of the quality of prostate MR-images as objectively as possible. • PI-QUAL will step by step develop into a reliable quality assessment tool to ensure that the first step of the MRI pathway is as accurate as possible.
© 2021. The Author(s), under exclusive licence to European Society of Radiology.

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Year:  2021        PMID: 34842957      PMCID: PMC8628276          DOI: 10.1007/s00330-021-08399-3

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   7.034


Prostate MRI is recommended as a primary diagnostic test for men suspected of prostate cancer (PCa) [1]. An MRI-guided diagnostic pathway is supported by Level 1 evidence in Western populations [2-4]; its high negative predictive value and sensitivity allow safe avoidance of unnecessary prostate biopsy and reduce overtreatment of indolent tumors. In addition, MRI can reliably identify clinically significant cancer suspicious regions for targeted biopsy, thereby optimizing tissue sampling. The associated downside of the increased use of prostate MRI is variable image quality between centers and scanners [5]. Good-quality prostate MRI is the starting point and prerequisite for optimal patient management, which affects all downstream steps in the diagnostic pathway [6]. Sub-optimal image quality can lead to decreased diagnostic accuracy and increased uncertainty. Experts of the European Society of Urogenital Radiology (ESUR) and the EAU Section of Urologic Imaging (ESUI) stressed the importance of image quality assessment in a consensus document on quality requirements for image acquisition, interpretation, and training of radiologists [7]. One of the consensus-based recommendations was to assess the image quality of the MRI scan and to mention this in the report. The image quality assessment was suggested to consist of a visual analysis of the scan by the radiologists. Giganti and colleagues addressed this problem by developing a 5-point Likert scale Prostate Imaging Quality (PI-QUAL) assessment system, which ranges from very poor (PI-QUAL 1) to excellent image quality (PI-QUAL 5) [8, 9]. The assessment is based on adherence to both the technical recommendations of the Prostate Imaging Reporting and Data System (PI-RADS) and more subjective image quality criteria to score T2-weighted imaging (T2W), diffusion-weighted imaging (DWI), and dynamic contrast-enhanced MRI (DCE) [10]. The authors must be commended for paving the way for standardizing prostate image quality. Development of such an assessment system with subjective criteria that are tried to be as objective as possible is not only important but also challenging. The paper by Giganti and colleagues in the current issue of European Radiology [11] shows promising reproducibility rates of their PI-QUAL v.1 assessment system with a strong weighted kappa (0.82) when clustering PI-QUAL in three quality groups (PI-QUAL 1-2 vs PI-QUAL 3 vs PI-QUAL 4-5). When studying their results, there are several remarks that should be recognized in the next version of PI-QUAL (v.2). Firstly, the proposed PI-QUAL v.1 assessment automatically includes clinical implications into the observed image quality score. For example, a PI-QUAL score of 4 and higher implies that prostate image quality is high enough to rule in and rule out all clinically significant lesions, while this is impossible when an examination that is assessed as PI-QUAL ≤ 2. It is indeed important to make recommendations on the clinical implications of an overall assessment, but deriving this automatically from the observed PI-QUAL assessment may not be helpful in all clinical scenarios. A large suspicious lesion can be detected even in an unsatisfactory quality scan (PI-QUAL 1), while a small significant tumor can be missed on a good-quality image (PI-QUAL 4). Thus, a two-step approach seems more logical. The first step involves an assessment system that evaluates image quality as objective as possible without a derived clinical impact. The second step determines the clinical impact of an observed image quality, that is to repeat the scan or not. This clinical impact is based on the interpretation of the reporting radiologist as well as of the other multidisciplinary team members. The second comment refers to the technical recommendations of PI-RADS. The PI-QUAL v.1 assessment system includes technical parameters from the PI-RADS guidelines that have set minimal and optimal technical standards for MRI acquisition. It is important to note that compliance with these recommendations does not guarantee optimal quality imaging [5]. For example, a (slight) deviation of these technical recommendations in a particular situation can provide better quality images [12]. Therefore, one should identify sub-optimal image quality without scoring and without even partially linking it to the technical PI-RADS parameters. In order to be accepted by the radiological community, PI-QUAL needs to be—like PI-RADS—as simple as possible. The PI-QUAL v.1 assessment system was developed in a single institution, and two radiologists from this center, a senior who trained the junior, have assessed the examination. This can affect the reproducibility and generalization of results to other readers and other centers. The scoring system should, therefore, be tested on different readers in different centers. These readers should be ideally trained, for example, through an online or paper-based lexicon, like the CORADS Score Practice initiatives for COVID-19 CT severity on the Grand Challenge platform (grand-challenge.org) [13]. The proposed PI-QUAL v.1 assessment system is an essential starting tool to standardize the reporting of prostate image quality as objectively as possible. With further refinements, as mentioned above, and reproducibility and generalizability studies to confirm its high inter- and intra-reader agreement, the PI-QUAL assessment system can serve as an international standard. An international working group with representatives of ESUR and ESUI, among others, is currently working on an updated version of PI-QUAL (v.2), and testing it. Like the PI-RADS guidelines, the PI-QUAL guidelines will be a “living document” that will evolve with increasing clinical experience and scientific data. Successful delivery of the MRI-guided PCa pathway requires imaging to be performed and reported to a sufficiently high level. Sub-optimal quality will have a negative impact on each component of the downstream MRI pathway. This first described PI-QUAL assessment system is of utmost importance. It will develop step by step into a reliable quality assessment tool, ensuring that the first step of the MRI pathway is as accurate as possible.
  13 in total

1.  A multicentre assessment of prostate MRI quality and compliance with UK and international standards.

Authors:  P R Burn; S J Freeman; A Andreou; N Burns-Cox; R Persad; T Barrett
Journal:  Clin Radiol       Date:  2019-07-08       Impact factor: 2.350

2.  Reply to Arnaldo Stanzione, Massimo Imbriaco, and Renato Cuocolo's Letter to the Editor re: Marloes van der Leest, Bas Israël, Eric Bastiaan Cornel, et al. High Diagnostic Performance of Short Magnetic Resonance Imaging Protocols for Prostate Cancer Detection in Biopsy-naïve Men: The Next Step in Magnetic Resonance Imaging Accessibility. Eur Urol 2019;76:574-81. Are We Meeting Our Standards? Stringent Prostate Imaging Reporting and Data System Acquisition Requirements Might be Limiting Prostate Accessibility.

Authors:  Marloes van der Leest; Bas Israël; Rianne R M Engels; Jelle O Barentsz
Journal:  Eur Urol       Date:  2019-12-06       Impact factor: 20.096

3.  Head-to-head Comparison of Transrectal Ultrasound-guided Prostate Biopsy Versus Multiparametric Prostate Resonance Imaging with Subsequent Magnetic Resonance-guided Biopsy in Biopsy-naïve Men with Elevated Prostate-specific Antigen: A Large Prospective Multicenter Clinical Study.

Authors:  Marloes van der Leest; Erik Cornel; Bas Israël; Rianne Hendriks; Anwar R Padhani; Martijn Hoogenboom; Patrik Zamecnik; Dirk Bakker; Anglita Yanti Setiasti; Jeroen Veltman; Huib van den Hout; Hans van der Lelij; Inge van Oort; Sjoerd Klaver; Frans Debruyne; Michiel Sedelaar; Gerjon Hannink; Maroeska Rovers; Christina Hulsbergen-van de Kaa; Jelle O Barentsz
Journal:  Eur Urol       Date:  2018-11-23       Impact factor: 20.096

4.  Use of prostate systematic and targeted biopsy on the basis of multiparametric MRI in biopsy-naive patients (MRI-FIRST): a prospective, multicentre, paired diagnostic study.

Authors:  Olivier Rouvière; Philippe Puech; Raphaële Renard-Penna; Michel Claudon; Catherine Roy; Florence Mège-Lechevallier; Myriam Decaussin-Petrucci; Marine Dubreuil-Chambardel; Laurent Magaud; Laurent Remontet; Alain Ruffion; Marc Colombel; Sébastien Crouzet; Anne-Marie Schott; Laurent Lemaitre; Muriel Rabilloud; Nicolas Grenier
Journal:  Lancet Oncol       Date:  2018-11-21       Impact factor: 41.316

Review 5.  EAU-EANM-ESTRO-ESUR-SIOG Guidelines on Prostate Cancer-2020 Update. Part 1: Screening, Diagnosis, and Local Treatment with Curative Intent.

Authors:  Nicolas Mottet; Roderick C N van den Bergh; Erik Briers; Thomas Van den Broeck; Marcus G Cumberbatch; Maria De Santis; Stefano Fanti; Nicola Fossati; Giorgio Gandaglia; Silke Gillessen; Nikos Grivas; Jeremy Grummet; Ann M Henry; Theodorus H van der Kwast; Thomas B Lam; Michael Lardas; Matthew Liew; Malcolm D Mason; Lisa Moris; Daniela E Oprea-Lager; Henk G van der Poel; Olivier Rouvière; Ivo G Schoots; Derya Tilki; Thomas Wiegel; Peter-Paul M Willemse; Philip Cornford
Journal:  Eur Urol       Date:  2020-11-07       Impact factor: 20.096

Review 6.  Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2.

Authors:  Baris Turkbey; Andrew B Rosenkrantz; Masoom A Haider; Anwar R Padhani; Geert Villeirs; Katarzyna J Macura; Clare M Tempany; Peter L Choyke; Francois Cornud; Daniel J Margolis; Harriet C Thoeny; Sadhna Verma; Jelle Barentsz; Jeffrey C Weinreb
Journal:  Eur Urol       Date:  2019-03-18       Impact factor: 20.096

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/ESUI consensus statements on multi-parametric MRI for the detection of clinically significant prostate cancer: quality requirements for image acquisition, interpretation and radiologists' training.

Authors:  Maarten de Rooij; Bas Israël; Marcia Tummers; Hashim U Ahmed; Tristan Barrett; Francesco Giganti; Bernd Hamm; Vibeke Løgager; Anwar Padhani; Valeria Panebianco; Philippe Puech; Jonathan Richenberg; Olivier Rouvière; Georg Salomon; Ivo Schoots; Jeroen Veltman; Geert Villeirs; Jochen Walz; Jelle O Barentsz
Journal:  Eur Radiol       Date:  2020-05-19       Impact factor: 5.315

Review 9.  Understanding PI-QUAL for prostate MRI quality: a practical primer for radiologists.

Authors:  Francesco Giganti; Alex Kirkham; Veeru Kasivisvanathan; Marianthi-Vasiliki Papoutsaki; Shonit Punwani; Mark Emberton; Caroline M Moore; Clare Allen
Journal:  Insights Imaging       Date:  2021-05-01

10.  Inter-reader agreement of the PI-QUAL score for prostate MRI quality in the NeuroSAFE PROOF trial.

Authors:  Francesco Giganti; Eoin Dinneen; Veeru Kasivisvanathan; Aiman Haider; Alex Freeman; Alex Kirkham; Shonit Punwani; Mark Emberton; Greg Shaw; Caroline M Moore; Clare Allen
Journal:  Eur Radiol       Date:  2021-07-29       Impact factor: 5.315

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  3 in total

Review 1.  Quality checkpoints in the MRI-directed prostate cancer diagnostic pathway.

Authors:  Tristan Barrett; Maarten de Rooij; Francesco Giganti; Clare Allen; Jelle O Barentsz; Anwar R Padhani
Journal:  Nat Rev Urol       Date:  2022-09-27       Impact factor: 16.430

2.  Promoting the use of the PI-QUAL score for prostate MRI quality: results from the ESOR Nicholas Gourtsoyiannis teaching fellowship.

Authors:  Francesco Giganti; Alexander P Cole; Fiona M Fennessy; Timothy Clinton; Pedro Lopes Da Frota Moreira; Mariana Costa Bernardes; Carl-Fredrik Westin; Deepa Krishnaswamy; Andriy Fedorov; Daniel A Wollin; Bjoern Langbein; Nicola Frego; Muhieddine Labban; Joy S Badaoui; Steven L Chang; Logan G Briggs; Junichi Tokuda; Alessandro Ambrosi; Alex Kirkham; Mark Emberton; Veeru Kasivisvanathan; Caroline M Moore; Clare Allen; Clare M Tempany
Journal:  Eur Radiol       Date:  2022-06-30       Impact factor: 7.034

3.  Negative mpMRI Rules Out Extra-Prostatic Extension in Prostate Cancer before Robot-Assisted Radical Prostatectomy.

Authors:  Eoin Dinneen; Clare Allen; Tom Strange; Daniel Heffernan-Ho; Jelena Banjeglav; Jamie Lindsay; John-Patrick Mulligan; Tim Briggs; Senthil Nathan; Ashwin Sridhar; Jack Grierson; Aiman Haider; Christos Panayi; Dominic Patel; Alex Freeman; Jonathan Aning; Raj Persad; Imran Ahmad; Lorenzo Dutto; Neil Oakley; Alessandro Ambrosi; Tom Parry; Veeru Kasivisvanathan; Francesco Giganti; Greg Shaw; Shonit Punwani
Journal:  Diagnostics (Basel)       Date:  2022-04-23
  3 in total

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