Literature DB >> 31661357

Performance and inter-observer variability of prostate MRI (PI-RADS version 2) outside high-volume centres.

Kimia Kohestani1,2, Jonas Wallström3,4, Niclas Dehlfors4, Ole Martin Sponga5, Marianne Månsson1, Andreas Josefsson1,2,6,7, Sigrid Carlsson1,8, Mikael Hellström3,4, Jonas Hugosson1,2.   

Abstract

Objective: Despite the growing trend to embrace pre-biopsy MRI in the diagnostic pathway for prostate cancer (PC), its performance and inter-observer variability outside high-volume centres remains unknown. This study aims to evaluate sensitivity of and variability between readers of prostate MRI outside specialized units with radical prostatectomy (RP) specimen as the reference standard.Materials and methods: Retrospective study comprising a consecutive cohort of all 97 men who underwent MRI and subsequent RP between January 2012 and December 2014 at a private hospital in Sweden. Three readers, blinded to clinical data, reviewed all images (including 11 extra prostate MRI to reduce bias). A tumour was considered detected if the overall PI-RADS v2 score was 3-5 and there was an approximate match (same or neighbouring sector) of tumour sector according to a 24 sector system used for both MRI and whole mount sections.
Results: Detection rate for the index tumour ranged from 67 to 76%, if PI-RADS 3-5 lesions were considered positive and 54-66% if only PI-RADS score 4-5 tumours were included. Detection rate for aggressive tumours (GS ≥ 4 + 3) was higher; 83.1% for PI-RADS 3-5 and 79.2% for PI-RADS 4-5. The agreement between readers showed average [Formula: see text] values of 0.41 for PI-RADS score 3-5 and 0.51 for PI-RADS score 4-5.Conclusions: Prostate MRI evidenced a moderate detection rate for clinically significant PC with a rather large variability between readers. Clinics outside specialized units must have knowledge of their performance of prostate MRI before considering omitting biopsies in men with negative MRI.

Entities:  

Keywords:  Prostatic neoplasms; interobserver agreement; magnetic resonance imaging; observer variation; radical prostatectomy

Mesh:

Year:  2019        PMID: 31661357      PMCID: PMC6935323          DOI: 10.1080/21681805.2019.1675757

Source DB:  PubMed          Journal:  Scand J Urol        ISSN: 2168-1805            Impact factor:   1.612


  24 in total

1.  Accuracy and agreement of PIRADSv2 for prostate cancer mpMRI: A multireader study.

Authors:  Matthew D Greer; Anna M Brown; Joanna H Shih; Ronald M Summers; Jamie Marko; Yan Mee Law; Sandeep Sankineni; Arvin K George; Maria J Merino; Peter A Pinto; Peter L Choyke; Baris Turkbey
Journal:  J Magn Reson Imaging       Date:  2016-07-08       Impact factor: 4.813

2.  The prevalence of prostate carcinoma and its precursor in Hungary: an autopsy study.

Authors:  Gyorgyike Soos; Ioannis Tsakiris; Janos Szanto; Csaba Turzo; P Gabriel Haas; Balazs Dezso
Journal:  Eur Urol       Date:  2005-09-15       Impact factor: 20.096

3.  Prospective Evaluation of the Prostate Imaging Reporting and Data System Version 2 for Prostate Cancer Detection.

Authors:  Francesca V Mertan; Matthew D Greer; Joanna H Shih; Arvin K George; Michael Kongnyuy; Akhil Muthigi; Maria J Merino; Bradford J Wood; Peter A Pinto; Peter L Choyke; Baris Turkbey
Journal:  J Urol       Date:  2016-04-18       Impact factor: 7.450

Review 4.  Overdiagnosis and overtreatment of prostate cancer.

Authors:  Stacy Loeb; Marc A Bjurlin; Joseph Nicholson; Teuvo L Tammela; David F Penson; H Ballentine Carter; Peter Carroll; Ruth Etzioni
Journal:  Eur Urol       Date:  2014-01-09       Impact factor: 20.096

5.  Interobserver Reproducibility of the PI-RADS Version 2 Lexicon: A Multicenter Study of Six Experienced Prostate Radiologists.

Authors:  Andrew B Rosenkrantz; Luke A Ginocchio; Daniel Cornfeld; Adam T Froemming; Rajan T Gupta; Baris Turkbey; Antonio C Westphalen; James S Babb; Daniel J Margolis
Journal:  Radiology       Date:  2016-04-01       Impact factor: 11.105

6.  Prostate Cancer: Interobserver Agreement and Accuracy with the Revised Prostate Imaging Reporting and Data System at Multiparametric MR Imaging.

Authors:  Berrend G Muller; Joanna H Shih; Sandeep Sankineni; Jamie Marko; Soroush Rais-Bahrami; Arvin Koruthu George; Jean J M C H de la Rosette; Maria J Merino; Bradford J Wood; Peter Pinto; Peter L Choyke; Baris Turkbey
Journal:  Radiology       Date:  2015-06-18       Impact factor: 11.105

Review 7.  Can Clinically Significant Prostate Cancer Be Detected with Multiparametric Magnetic Resonance Imaging? A Systematic Review of the Literature.

Authors:  Jurgen J Fütterer; Alberto Briganti; Pieter De Visschere; Mark Emberton; Gianluca Giannarini; Alex Kirkham; Samir S Taneja; Harriet Thoeny; Geert Villeirs; Arnauld Villers
Journal:  Eur Urol       Date:  2015-02-02       Impact factor: 20.096

8.  The Learning Curve in Prostate MRI Interpretation: Self-Directed Learning Versus Continual Reader Feedback.

Authors:  Andrew B Rosenkrantz; Abimbola Ayoola; David Hoffman; Anunita Khasgiwala; Vinay Prabhu; Paul Smereka; Molly Somberg; Samir S Taneja
Journal:  AJR Am J Roentgenol       Date:  2016-12-27       Impact factor: 3.959

9.  What Are We Missing? False-Negative Cancers at Multiparametric MR Imaging of the Prostate.

Authors:  Samuel Borofsky; Arvin K George; Sonia Gaur; Marcelino Bernardo; Matthew D Greer; Francesca V Mertan; Myles Taffel; Vanesa Moreno; Maria J Merino; Bradford J Wood; Peter A Pinto; Peter L Choyke; Baris Turkbey
Journal:  Radiology       Date:  2017-10-20       Impact factor: 11.105

10.  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

View more
  9 in total

1.  Diagnostic accuracy and inter-observer reliability of the O-RADS scoring system among staff radiologists in a North American academic clinical setting.

Authors:  Yeli Pi; Mitchell P Wilson; Prayash Katlariwala; Medica Sam; Thomas Ackerman; Lee Paskar; Vimal Patel; Gavin Low
Journal:  Abdom Radiol (NY)       Date:  2021-06-29

2.  MRI as a screening tool for prostate cancer: current evidence and future challenges.

Authors:  Christoph Würnschimmel; Thenappan Chandrasekar; Luisa Hahn; Tarik Esen; Shahrokh F Shariat; Derya Tilki
Journal:  World J Urol       Date:  2022-02-28       Impact factor: 4.226

3.  The value of magnetic resonance imaging-ultrasound fusion targeted biopsies for clinical decision-making among patients with previously negative transrectal ultrasound biopsy and persistent prostate-specific antigen elevation.

Authors:  Charlie J Gillis; Thomas M Southall; Robert Wilson; Michelle Anderson; Jennifer Young; Richard Hewitt; Matthew Andrews
Journal:  Can Urol Assoc J       Date:  2022-06       Impact factor: 2.052

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

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

5.  Value of an online PI-RADS v2.1 score calculator for assessment of prostate MRI.

Authors:  Borna K Barth; Katharina Martini; Stephan M Skawran; Florian A Schmid; Niels J Rupp; Laura Zuber; Olivio F Donati
Journal:  Eur J Radiol Open       Date:  2021-02-27

6.  Deep learning for fully automatic detection, segmentation, and Gleason grade estimation of prostate cancer in multiparametric magnetic resonance images.

Authors:  Oscar J Pellicer-Valero; José L Marenco Jiménez; Victor Gonzalez-Perez; Juan Luis Casanova Ramón-Borja; Isabel Martín García; María Barrios Benito; Paula Pelechano Gómez; José Rubio-Briones; María José Rupérez; José D Martín-Guerrero
Journal:  Sci Rep       Date:  2022-02-22       Impact factor: 4.379

7.  Predictors of clinically significant prostate cancer in biopsy-naïve and prior negative biopsy men with a negative prostate MRI: improving MRI-based screening with a novel risk calculator.

Authors:  Luigi A M J G van Riel; Auke Jager; Dennie Meijer; Arnoud W Postema; Ruth S Smit; André N Vis; Theo M de Reijke; Harrie P Beerlage; Jorg R Oddens
Journal:  Ther Adv Urol       Date:  2022-03-26

Review 8.  Radiomics in prostate cancer: an up-to-date review.

Authors:  Matteo Ferro; Ottavio de Cobelli; Gennaro Musi; Francesco Del Giudice; Giuseppe Carrieri; Gian Maria Busetto; Ugo Giovanni Falagario; Alessandro Sciarra; Martina Maggi; Felice Crocetto; Biagio Barone; Vincenzo Francesco Caputo; Michele Marchioni; Giuseppe Lucarelli; Ciro Imbimbo; Francesco Alessandro Mistretta; Stefano Luzzago; Mihai Dorin Vartolomei; Luigi Cormio; Riccardo Autorino; Octavian Sabin Tătaru
Journal:  Ther Adv Urol       Date:  2022-07-04

9.  Clinical utility and cost modelling of the phi test to triage referrals into image-based diagnostic services for suspected prostate cancer: the PRIM (Phi to RefIne Mri) study.

Authors:  Lois Kim; Nicholas Boxall; Anne George; Keith Burling; Pete Acher; Jonathan Aning; Stuart McCracken; Toby Page; Vincent J Gnanapragasam
Journal:  BMC Med       Date:  2020-04-17       Impact factor: 8.775

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.