Literature DB >> 28668436

Diagnostic performance and reproducibility of T2w based and diffusion weighted imaging (DWI) based PI-RADSv2 lexicon descriptors for prostate MRI.

Matthias Benndorf1, Felix Hahn2, Malte Krönig3, Cordula Annette Jilg3, Tobias Krauss4, Mathias Langer4, Philippe Dovi-Akué4.   

Abstract

PURPOSE: To examine the diagnostic performance of PI-RADSv2 T2w and diffusion weighted imaging (DWI) based lexicon descriptors, inter-observer agreement for descriptor assignment and diagnostic accuracy of the PI-RADSv2 assessment categories for multiparametric prostate MRI.
MATERIALS AND METHODS: 176 lesions in 79 consecutive patients are analyzed, lesions are histopathologically verified by MRI-ultrasound fusion biopsy. All lesions are rated according to the PI-RADSv2 lexicon, descriptors for T2w and DWI sequences and resulting assessment categories are assigned by two independent blinded radiologists. We perform receiver-operating-characteristic analysis using the assessment categories. To analyze inter-observer agreement, we calculate weighted kappa values for assessment category assignment and unweighted kappa values for descriptor assignment.
RESULTS: PI-RADSv2 assessment categories yield an area under the curve of 0.76/0.74 (radiologist 1/radiologist 2), P >0.05. Weighted kappa for agreement is 0.601 in the peripheral zone and 0.580 in the transition zone. We detect a difference in the cancer rate for PI-RADSv2 category 3 between peripheral zone (32%) and transition zone (12%), P <0.05. We obtain moderate agreement at most for descriptor assignment with kappa values ranging from 0.082 (T2w shape in the transition zone) to 0.407 (T2w signal intensity in the peripheral zone) and 0.493 (ADC pattern in the peripheral zone). Our analysis corroborates typical descriptors for benign/malignant lesions, but also reveals insights into potential pitfalls - T2w wedge shaped lesions in the peripheral zone have a considerable cancer rate, despite being labelled category 2 in the lexicon.
CONCLUSION: Agreement for descriptor assignment in the PI-RADSv2 lexicon is at most moderate in our study. Typical descriptors for benign and malignant lesions are validated, whereas the discriminatory power of some descriptors is challenged. The difference in the cancer rate for PI-RADSv2 category 3 between peripheral zone and transition zone should be considered when management recommendations are linked to assessment categories in the future.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

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

Mesh:

Year:  2017        PMID: 28668436     DOI: 10.1016/j.ejrad.2017.05.015

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


  6 in total

1.  Interreader Variability of Prostate Imaging Reporting and Data System Version 2 in Detecting and Assessing Prostate Cancer Lesions at Prostate MRI.

Authors:  Matthew D Greer; Joanna H Shih; Nathan Lay; Tristan Barrett; Leonardo Bittencourt; Samuel Borofsky; Ismail Kabakus; Yan Mee Law; Jamie Marko; Haytham Shebel; Maria J Merino; Bradford J Wood; Peter A Pinto; Ronald M Summers; Peter L Choyke; Baris Turkbey
Journal:  AJR Am J Roentgenol       Date:  2019-03-27       Impact factor: 3.959

2.  Prostate Imaging-Reporting and Data System Steering Committee: PI-RADS v2 Status Update and Future Directions.

Authors:  Anwar R Padhani; Jeffrey Weinreb; Andrew B Rosenkrantz; Geert Villeirs; Baris Turkbey; Jelle Barentsz
Journal:  Eur Urol       Date:  2018-06-13       Impact factor: 20.096

Review 3.  PI-RADS: what is new and how to use it.

Authors:  Silvina P Dutruel; Sunil Jeph; Daniel J A Margolis; Natasha Wehrli
Journal:  Abdom Radiol (NY)       Date:  2020-12

4.  Prostate Imaging-Reporting and Data System: Comparison of the Diagnostic Performance between Version 2.0 and 2.1 for Prostatic Peripheral Zone.

Authors:  Hyun Soo Kim; Ghee Young Kwon; Min Je Kim; Sung Yoon Park
Journal:  Korean J Radiol       Date:  2021-04-09       Impact factor: 3.500

5.  Correlation between Intraprostatic PSMA Uptake and MRI PI-RADS of [68Ga]Ga-PSMA-11 PET/MRI in Patients with Prostate Cancer: Comparison of PI-RADS Version 2.0 and PI-RADS Version 2.1.

Authors:  Jing Zhao; Dilyana B Mangarova; Julia Brangsch; Avan Kader; Bernd Hamm; Winfried Brenner; Marcus R Makowski
Journal:  Cancers (Basel)       Date:  2020-11-26       Impact factor: 6.639

6.  Diagnostic performance of diffusion-weighted imaging for prostate cancer: Peripheral zone versus transition zone.

Authors:  Hakmin Lee; Sung Il Hwang; Hak Jong Lee; Seok-Soo Byun; Sang Eun Lee; Sung Kyu Hong
Journal:  PLoS One       Date:  2018-06-22       Impact factor: 3.240

  6 in total

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