Literature DB >> 28941761

Direct comparison of PI-RADS version 2 and version 1 regarding interreader agreement and diagnostic accuracy for the detection of clinically significant prostate cancer.

Anton S Becker1, Alexander Cornelius2, Cäcilia S Reiner3, Daniel Stocker3, Erika J Ulbrich3, Borna K Barth3, Ashkan Mortezavi4, Daniel Eberli4, Olivio F Donati3.   

Abstract

PURPOSE: to simultaneously evaluate interreader agreement and diagnostic accuracy in the of PI-RADS v2 and compare it to v1.
METHODS: A total of 67 patients (median age 65.3 y, range 51.2-78.2 y; PSA 6.8μg/L, 0.2-33μg/L) undergoing MRI of the prostate and subsequent transperineal template biopsy within ≤6 months from MRI were included. Four readers from two institutions evaluated the likelihood of prostate cancer using PI-RADS v1 and v2 in two separate reading sessions ≥3 months apart. Interreader agreement was assessed for each pulse-sequence and for total PI-RADS scores using the intraclass correlation coefficient (ICC). Differences were considered significant for non-overlapping 95%-confidence intervals. Diagnostic accuracy was assessed with the area under the receiver operating characteristic curve (AZ). A p-value <0.05 was considered statistically significant.
RESULTS: Interreader agreement for DCE-scores was good in v2 (ICC2=0.70; 95% CI: 0.66-0.74) and slightly lower in v1 (ICC1=0.64, 0.59-0.69). Agreement for DWI scores (ICC1=0.77, ICC2=0.76) as well as final PI-RADS scores per quadrant were nearly identical (ICC1=ICC2=0.71). Diagnostic accuracy showed no significant differences (p=0.09-0.93) between v1 and v2 in any of the readers (range: AZ=0.78-0.88).
CONCLUSION: PI-RADS scores show similar interreader agreement in v2 and v1 at comparable diagnostic performance. The simplification of the DCE interpretation in v2 might slightly improve agreement while not negatively affecting diagnostic performance.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diagnostic accuracy; Interreader agreement; Multiparametric MRI; PI-RADS; Prostate

Mesh:

Year:  2017        PMID: 28941761     DOI: 10.1016/j.ejrad.2017.07.016

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


  16 in total

1.  Shear-wave elastography: role in clinically significant prostate cancer with false-negative magnetic resonance imaging.

Authors:  Li-Hua Xiang; Yan Fang; Jing Wan; Guang Xu; Ming-Hua Yao; Shi-Si Ding; Hui Liu; Rong Wu
Journal:  Eur Radiol       Date:  2019-05-29       Impact factor: 5.315

2.  The central zone has increased 68Ga-PSMA-11 uptake: "Mickey Mouse ears" can be hot on 68Ga-PSMA-11 PET.

Authors:  Daniele A Pizzuto; Julian Müller; Urs Mühlematter; Niels J Rupp; Antonia Töpfer; Ashkan Mortezavi; Hannes Nagel; Benedikt Kranzbühler; Daniel Eberli; Irene A Burger
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-03-09       Impact factor: 9.236

3.  Assessing the need for systematic biopsies in addition to targeted biopsies according to the characteristics of the index lesion at mpMRI. Results from a large, multi-institutional database.

Authors:  Francesco Barletta; Elio Mazzone; Armando Stabile; Simone Scuderi; Giorgio Brembilla; Mario de Angelis; Giuseppe Ottone Cirulli; Vito Cucchiara; Giorgio Gandaglia; R Jeffrey Karnes; Morgan Roupret; Francesco De Cobelli; Francesco Montorsi; Alberto Briganti
Journal:  World J Urol       Date:  2022-09-23       Impact factor: 3.661

4.  Dynamic Contrast Enhanced Study in Multiparametric Examination of the Prostate-Can We Make Better Use of It?

Authors:  Silva Guljaš; Mirta Benšić; Zdravka Krivdić Dupan; Oliver Pavlović; Vinko Krajina; Deni Pavoković; Petra Šmit Takač; Matija Hranić; Tamer Salha
Journal:  Tomography       Date:  2022-06-09

5.  The predictive value of the prostate health index vs. multiparametric magnetic resonance imaging for prostate cancer diagnosis in prostate biopsy.

Authors:  Jiří Stejskal; Vanda Adamcová; Miroslav Záleský; Vojtěch Novák; Otakar Čapoun; Vojtěch Fiala; Olga Dolejšová; Hana Sedláčková; Štěpán Veselý; Roman Zachoval
Journal:  World J Urol       Date:  2020-08-06       Impact factor: 4.226

6.  Interactive, Up-to-date Meta-Analysis of MRI in the Management of Men with Suspected Prostate Cancer.

Authors:  Anton S Becker; Julian Kirchner; Thomas Sartoretti; Soleen Ghafoor; Sungmin Woo; Chong Hyun Suh; Joseph P Erinjeri; Hedvig Hricak; H Alberto Vargas
Journal:  J Digit Imaging       Date:  2020-06       Impact factor: 4.056

7.  The (extended) achondroplasia foramen magnum score has good observer reliability.

Authors:  Nathan Jenko; Daniel J A Connolly; Ashok Raghavan; James A Fernandes; Shungu Ushewokunze; Heather E Elphick; Paul Arundel; Utku Alhun; Amaka C Offiah
Journal:  Pediatr Radiol       Date:  2022-04-09

Review 8.  Imaging as a Personalized Biomarker for Prostate Cancer Risk Stratification.

Authors:  Kyle H Gennaro; Kristin K Porter; Jennifer B Gordetsky; Samuel J Galgano; Soroush Rais-Bahrami
Journal:  Diagnostics (Basel)       Date:  2018-11-30

9.  Equivocal PI-RADS Three Lesions on Prostate Magnetic Resonance Imaging: Risk Stratification Strategies to Avoid MRI-Targeted Biopsies.

Authors:  Daniël F Osses; Christian Arsov; Lars Schimmöller; Ivo G Schoots; Geert J L H van Leenders; Irene Esposito; Sebastiaan Remmers; Peter Albers; Monique J Roobol
Journal:  J Pers Med       Date:  2020-12-10

10.  The role of gadolinium in magnetic resonance imaging for early prostate cancer diagnosis: A diagnostic accuracy study.

Authors:  Ilinca Cosma; Cornelia Tennstedt-Schenk; Sven Winzler; Marios Nikos Psychogios; Alexander Pfeil; Ulf Teichgraeber; Ansgar Malich; Ismini Papageorgiou
Journal:  PLoS One       Date:  2019-12-23       Impact factor: 3.240

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