Literature DB >> 30575184

Intra- and interreader reproducibility of PI-RADSv2: A multireader study.

Clayton P Smith1,2, Stephanie A Harmon3, Tristan Barrett4, Leonardo K Bittencourt5,6, Yan Mee Law7, Haytham Shebel8, Julie Y An9, Marcin Czarniecki1, Sherif Mehralivand1,10,11, Mehmet Coskun12, Bradford J Wood13, Peter A Pinto10, Joanna H Shih14, Peter L Choyke1, Baris Turkbey1.   

Abstract

BACKGROUND: The Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) has been in use since 2015; while interreader reproducibility has been studied, there has been a paucity of studies investigating the intrareader reproducibility of PI-RADSv2.
PURPOSE: To evaluate both intra- and interreader reproducibility of PI-RADSv2 in the assessment of intraprostatic lesions using multiparametric magnetic resonance imaging (mpMRI). STUDY TYPE: Retrospective. POPULATION/
SUBJECTS: In all, 102 consecutive biopsy-naïve patients who underwent prostate MRI and subsequent MR/transrectal ultrasonography (MR/TRUS)-guided biopsy. FIELD STRENGTH/SEQUENCES: Prostate mpMRI at 3T using endorectal with phased array surface coils (TW MRI, DW MRI with ADC maps and b2000 DW MRI, DCE MRI). ASSESSMENT: Previously detected and biopsied lesions were scored by four readers from four different institutions using PI-RADSv2. Readers scored lesions during two readout rounds with a 4-week washout period. STATISTICAL TESTS: Kappa (κ) statistics and specific agreement (Po ) were calculated to quantify intra- and interreader reproducibility of PI-RADSv2 scoring. Lesion measurement agreement was calculated using the intraclass correlation coefficient (ICC).
RESULTS: Overall intrareader reproducibility was moderate to substantial (κ = 0.43-0.67, Po  = 0.60-0.77), while overall interreader reproducibility was poor to moderate (κ = 0.24, Po  = 46). Readers with more experience showed greater interreader reproducibility than readers with intermediate experience in the whole prostate (P = 0.026) and peripheral zone (P = 0.002). Sequence-specific interreader agreement for all readers was similar to the overall PI-RADSv2 score, with κ = 0.24, 0.24, and 0.23 and Po  = 0.47, 0.44, and 0.54 in T2 -weighted, diffusion-weighted imaging (DWI), and dynamic contrast-enhanced (DCE), respectively. Overall intrareader and interreader ICC for lesion measurement was 0.82 and 0.71, respectively. DATA
CONCLUSION: PI-RADSv2 provides moderate intrareader reproducibility, poor interreader reproducibility, and moderate interreader lesion measurement reproducibility. These findings suggest a need for more standardized reader training in prostate MRI. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 2.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MRI; PI-RADS; prostate cancer; reader reproducibility

Mesh:

Substances:

Year:  2018        PMID: 30575184      PMCID: PMC6504619          DOI: 10.1002/jmri.26555

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  32 in total

1.  Inter-reader agreement of the ESUR score for prostate MRI using in-bore MRI-guided biopsies as the reference standard.

Authors:  L Schimmöller; M Quentin; C Arsov; R S Lanzman; A Hiester; R Rabenalt; G Antoch; P Albers; D Blondin
Journal:  Eur Radiol       Date:  2013-06-12       Impact factor: 5.315

Review 2.  The expanding role of MRI in prostate cancer.

Authors:  Gillian Murphy; Masoom Haider; Sangeet Ghai; Boraiah Sreeharsha
Journal:  AJR Am J Roentgenol       Date:  2013-12       Impact factor: 3.959

3.  Comparison of interreader reproducibility of the prostate imaging reporting and data system and likert scales for evaluation of multiparametric prostate MRI.

Authors:  Andrew B Rosenkrantz; Ruth P Lim; Mershad Haghighi; Molly B Somberg; James S Babb; Samir S Taneja
Journal:  AJR Am J Roentgenol       Date:  2013-10       Impact factor: 3.959

4.  [PI-RADS classification: structured reporting for MRI of the prostate].

Authors:  M Röthke; D Blondin; H-P Schlemmer; T Franiel
Journal:  Rofo       Date:  2013-02-12

5.  Choice of agreement indices for assessing and improving measurement reproducibility in a core laboratory setting.

Authors:  Huiman X Barnhart; Eric Yow; Anna Lisa Crowley; Melissa A Daubert; Dawn Rabineau; Robert Bigelow; Michael Pencina; Pamela S Douglas
Journal:  Stat Methods Med Res       Date:  2014-05-14       Impact factor: 3.021

6.  Inter- and intraradiologist variability in the BI-RADS assessment and breast density categories for screening mammograms.

Authors:  A Redondo; M Comas; F Macià; F Ferrer; C Murta-Nascimento; M T Maristany; E Molins; M Sala; X Castells
Journal:  Br J Radiol       Date:  2012-09-19       Impact factor: 3.039

7.  Magnetic resonance imaging/ultrasound fusion guided prostate biopsy improves cancer detection following transrectal ultrasound biopsy and correlates with multiparametric magnetic resonance imaging.

Authors:  Peter A Pinto; Paul H Chung; Ardeshir R Rastinehad; Angelo A Baccala; Jochen Kruecker; Compton J Benjamin; Sheng Xu; Pingkun Yan; Samuel Kadoury; Celene Chua; Julia K Locklin; Baris Turkbey; Joanna H Shih; Stacey P Gates; Carey Buckner; Gennady Bratslavsky; W Marston Linehan; Neil D Glossop; Peter L Choyke; Bradford J Wood
Journal:  J Urol       Date:  2011-08-17       Impact factor: 7.450

8.  Inter-reader agreement of multi-parametric MR imaging for the detection of prostate cancer: evaluation of a scoring system.

Authors:  M Quentin; C Arsov; S Röhlen; J Klasen; G Antoch; P Albers; D Blondin
Journal:  Rofo       Date:  2012-06-28

9.  Magnetic resonance imaging for the detection, localisation, and characterisation of prostate cancer: recommendations from a European consensus meeting.

Authors:  Louise Dickinson; Hashim U Ahmed; Clare Allen; Jelle O Barentsz; Brendan Carey; Jurgen J Futterer; Stijn W Heijmink; Peter J Hoskin; Alex Kirkham; Anwar R Padhani; Raj Persad; Philippe Puech; Shonit Punwani; Aslam S Sohaib; Bertrand Tombal; Arnauld Villers; Jan van der Meulen; Mark Emberton
Journal:  Eur Urol       Date:  2010-12-21       Impact factor: 20.096

10.  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

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  25 in total

1.  Inter- and Intrareader Agreement of NI-RADS in the Interpretation of Surveillance Contrast-Enhanced CT after Treatment of Oral Cavity and Oropharyngeal Squamous Cell Carcinoma.

Authors:  F H J Elsholtz; S-R Ro; S Shnayien; C Erxleben; H-C Bauknecht; J Lenk; L-A Schaafs; B Hamm; S M Niehues
Journal:  AJNR Am J Neuroradiol       Date:  2020-04-23       Impact factor: 3.825

Review 2.  Developing a National Center of Excellence for Prostate Imaging.

Authors:  Annerleim Walton-Diaz; Manuel Madariaga-Venegas; Nicolas Aviles; Juan Carlos Roman; Ivan Gallegos; Mauricio Burotto
Journal:  Curr Urol Rep       Date:  2019-09-02       Impact factor: 3.092

Review 3.  Studying osteoarthritis with artificial intelligence applied to magnetic resonance imaging.

Authors:  Francesco Calivà; Nikan K Namiri; Maureen Dubreuil; Valentina Pedoia; Eugene Ozhinsky; Sharmila Majumdar
Journal:  Nat Rev Rheumatol       Date:  2021-11-30       Impact factor: 20.543

Review 4.  PI-RADSv2.1: Current status.

Authors:  Stephanie M Walker; Barış Türkbey
Journal:  Turk J Urol       Date:  2020-10-09

5.  Prospective Evaluation of PI-RADS Version 2.1 for Prostate Cancer Detection.

Authors:  Stephanie M Walker; Sherif Mehralivand; Stephanie A Harmon; Thomas Sanford; Maria J Merino; Bradford J Wood; Joanna H Shih; Peter A Pinto; Peter L Choyke; Baris Turkbey
Journal:  AJR Am J Roentgenol       Date:  2020-09-02       Impact factor: 3.959

6.  Factors Influencing Variability in the Performance of Multiparametric Magnetic Resonance Imaging in Detecting Clinically Significant Prostate Cancer: A Systematic Literature Review.

Authors:  Armando Stabile; Francesco Giganti; Veeru Kasivisvanathan; Gianluca Giannarini; Caroline M Moore; Anwar R Padhani; Valeria Panebianco; Andrew B Rosenkrantz; Georg Salomon; Baris Turkbey; Geert Villeirs; Jelle O Barentsz
Journal:  Eur Urol Oncol       Date:  2020-03-17

7.  Three-dimensional nuclear magnetic resonance spectroscopy: a complementary tool to multiparametric magnetic resonance imaging in the identification of aggressive prostate cancer at 3.0T.

Authors:  Michael Deal; Florian Bardet; Paul-Michael Walker; Mathilde Funes de la Vega; Alexandre Cochet; Luc Cormier; Imad Bentellis; Romaric Loffroy
Journal:  Quant Imaging Med Surg       Date:  2021-08

8.  Semi-automated PIRADS scoring via mpMRI analysis.

Authors:  Nikhil J Dhinagar; William Speier; Karthik V Sarma; Alex Raman; Adam Kinnaird; Steven S Raman; Leonard S Marks; Corey W Arnold
Journal:  J Med Imaging (Bellingham)       Date:  2020-12-29

Review 9.  Artificial Intelligence Based Algorithms for Prostate Cancer Classification and Detection on Magnetic Resonance Imaging: A Narrative Review.

Authors:  Jasper J Twilt; Kicky G van Leeuwen; Henkjan J Huisman; Jurgen J Fütterer; Maarten de Rooij
Journal:  Diagnostics (Basel)       Date:  2021-05-26

10.  PI-RADS® Category as a Predictor of Progression to Unfavorable Risk Prostate Cancer in Men on Active Surveillance.

Authors:  Alex Z Wang; Luke P O’Conno; Nitin K Yerram; Lori Long; Johnathan Zeng; Sherif Mehralivand; Stephanie A Harmon; Amir H Lebastchi; Michael Ahdoot; Patrick T Gomella; Sandeep Gurram; Peter L Choyke; Maria J Merino; Joanna H Shih; Bradford J Wood; Baris Turkbey; Peter A Pinto
Journal:  J Urol       Date:  2020-07-27       Impact factor: 7.450

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