Literature DB >> 29107458

Imaging Facilities' Adherence to PI-RADS v2 Minimum Technical Standards for the Performance of Prostate MRI.

Steven J Esses1, Samir S Taneja2, Andrew B Rosenkrantz3.   

Abstract

PURPOSE: This study aimed to assess variability in imaging facilities' adherence to the minimum technical standards for prostate magnetic resonance imaging acquisition established by Prostate Imaging-Reporting and Data System (PI-RADS) version 2 (v2).
METHODS: A total of 107 prostate magnetic resonance imaging examinations performed at 107 unique imaging facilities after the release of PI-RADS v2 and that were referred to a tertiary care center for secondary interpretation were included. Image sets, DICOM headers, and outside reports were reviewed to assess adherence to 21 selected PI-RADS v2 minimum technical standards.
RESULTS: Hardware arrangements were 23.1%, 1.5T without endorectal coil; 7.7%, 1.5T with endorectal coil; 63.5%, 3T without endorectal coil; and 5.8%, 3T with endorectal coil. Adherence to minimum standards was lowest on T2 weighted imaging (T2WI) for frequency resolution ≤0.4 mm (16.8%) and phase resolution ≤0.7 mm (48.6%), lowest on diffusion-weighted imaging (DWI) for field of view (FOV) 120-220 mm (30.0%), and lowest on dynamic contrast-enhanced (DCE) imaging for slice thickness 3 mm (33.3%) and temporal resolution <10 s (31.5%). High b-value (≥1400 s/mm2) images were included in 58.0% (calculated in 25.9%). Adherence to T2WI phase resolution and DWI inter-slice gap were greater (P < .05) at 3T than at 1.5T. Adherence did not differ (P > .05) for any parameter between examinations performed with and without an endorectal coil. Adherence was greater for examinations performed at teaching facilities for T2WI slice thickness and DCE temporal resolution (P < .05). Adherence was not better for examinations performed in 2016 than in 2015 for any parameter (P > .05).
CONCLUSION: Facilities' adherence to PI-RADS v2 minimum technical standards was variable, being particularly poor for T2WI frequency resolution and DCE temporal resolution. The standards warrant greater community education. Certain technical standards may be too stringent, and revisions should be considered.
Copyright © 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  MRI; PI-RADS; Prostate cancer; diffusion-weighted imaging; dynamic contrast-enhanced imaging

Mesh:

Year:  2017        PMID: 29107458     DOI: 10.1016/j.acra.2017.08.013

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  15 in total

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Authors:  Clayton P Smith; Barış Türkbey
Journal:  Turk J Urol       Date:  2018-05-01

2.  Assessment of the compliance with minimum acceptable technical parameters proposed by PI-RADS v2 guidelines in multiparametric prostate MRI acquisition in tertiary referral hospitals in the Republic of Turkey.

Authors:  Mehmet Coşkun; Ali Fırat Sarp; Şebnem Karasu; Mustafa Fazıl Gelal; Barış Türkbey
Journal:  Diagn Interv Radiol       Date:  2019-11       Impact factor: 2.630

3.  Variability of the Positive Predictive Value of PI-RADS for Prostate MRI across 26 Centers: Experience of the Society of Abdominal Radiology Prostate Cancer Disease-focused Panel.

Authors:  Antonio C Westphalen; Charles E McCulloch; Jordan M Anaokar; Sandeep Arora; Nimrod S Barashi; Jelle O Barentsz; Tharakeswara K Bathala; Leonardo K Bittencourt; Michael T Booker; Vaughn G Braxton; Peter R Carroll; David D Casalino; Silvia D Chang; Fergus V Coakley; Ravjot Dhatt; Steven C Eberhardt; Bryan R Foster; Adam T Froemming; Jurgen J Fütterer; Dhakshina M Ganeshan; Mark R Gertner; Lori Mankowski Gettle; Sangeet Ghai; Rajan T Gupta; Michael E Hahn; Roozbeh Houshyar; Candice Kim; Chan Kyo Kim; Chandana Lall; Daniel J A Margolis; Stephen E McRae; Aytekin Oto; Rosaleen B Parsons; Nayana U Patel; Peter A Pinto; Thomas J Polascik; Benjamin Spilseth; Juliana B Starcevich; Varaha S Tammisetti; Samir S Taneja; Baris Turkbey; Sadhna Verma; John F Ward; Christopher A Warlick; Andrew R Weinberger; Jinxing Yu; Ronald J Zagoria; Andrew B Rosenkrantz
Journal:  Radiology       Date:  2020-04-21       Impact factor: 11.105

Review 4.  Deep learning-based artificial intelligence applications in prostate MRI: brief summary.

Authors:  Baris Turkbey; Masoom A Haider
Journal:  Br J Radiol       Date:  2021-12-03       Impact factor: 3.039

Review 5.  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

6.  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 7.  Imaging quality and prostate MR: it is time to improve.

Authors:  Francesco Giganti; Clare Allen
Journal:  Br J Radiol       Date:  2020-11-11       Impact factor: 3.039

8.  Better Image Quality for Diffusion-weighted MRI of the Prostate Using Deep Learning.

Authors:  Baris Turkbey
Journal:  Radiology       Date:  2022-02-01       Impact factor: 11.105

9.  Practice Patterns and Challenges of Performing and Interpreting Prostate MRI: A Survey by the Society of Abdominal Radiology Prostate Disease-Focused Panel.

Authors:  Silvia D Chang; Daniel J A Margolis; Baris Turkbey; Abigail A Arnold; Sadhna Verma
Journal:  AJR Am J Roentgenol       Date:  2021-02-10       Impact factor: 6.582

10.  Can computer-aided diagnosis assist in the identification of prostate cancer on prostate MRI? a multi-center, multi-reader investigation.

Authors:  Sonia Gaur; Nathan Lay; Stephanie A Harmon; Sreya Doddakashi; Sherif Mehralivand; Burak Argun; Tristan Barrett; Sandra Bednarova; Rossanno Girometti; Ercan Karaarslan; Ali Riza Kural; Aytekin Oto; Andrei S Purysko; Tatjana Antic; Cristina Magi-Galluzzi; Yesim Saglican; Stefano Sioletic; Anne Y Warren; Leonardo Bittencourt; Jurgen J Fütterer; Rajan T Gupta; Ismail Kabakus; Yan Mee Law; Daniel J Margolis; Haytham Shebel; Antonio C Westphalen; Bradford J Wood; Peter A Pinto; Joanna H Shih; Peter L Choyke; Ronald M Summers; Baris Turkbey
Journal:  Oncotarget       Date:  2018-09-18
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