Literature DB >> 22566285

Scoring systems used for the interpretation and reporting of multiparametric MRI for prostate cancer detection, localization, and characterization: could standardization lead to improved utilization of imaging within the diagnostic pathway?

Louise Dickinson1, Hashim U Ahmed, Clare Allen, Jelle O Barentsz, Brendan Carey, Jurgen J Futterer, Stijn W Heijmink, Peter Hoskin, Alex P Kirkham, Anwar R Padhani, Raj Persad, Philippe Puech, Shonit Punwani, Aslam Sohaib, Bertrand Tombal, Arnauld Villers, Mark Emberton.   

Abstract

Multiparametric magnetic resonance imaging (mpMRI) is increasingly being used earlier in the prostate cancer diagnostic pathway in order to detect and localize disease. Its results can be used to help decide on the indication, type, and localization of a prostate biopsy for cancer diagnosis. In addition, mpMRI has the potential to contribute information on the characterization, or aggressiveness, of detected cancers including tumor progression over time. There is considerable variation in the way results of different MRI sequences are reported. We conducted a review of scoring systems that have been used in the detection and characterization of prostate cancer. This revealed that existing scoring and reporting systems differ in purpose, scale, and range. We evaluate these differences in this review. This first step in collating all methods of scoring and reporting mpMRI will ultimately lead to consensus approaches to develop a standardized reporting scheme that can be widely adopted and validated to ensure comparability of research outputs and optimal clinical practice.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22566285     DOI: 10.1002/jmri.23689

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


  38 in total

1.  Evaluation of the ESUR PI-RADS scoring system for multiparametric MRI of the prostate with targeted MR/TRUS fusion-guided biopsy at 3.0 Tesla.

Authors:  M C Roethke; T H Kuru; S Schultze; D Tichy; A Kopp-Schneider; M Fenchel; H-P Schlemmer; B A Hadaschik
Journal:  Eur Radiol       Date:  2013-10-03       Impact factor: 5.315

2.  Role of MRI for the detection of prostate cancer.

Authors:  Richard C Wu; Amir H Lebastchi; Boris A Hadaschik; Mark Emberton; Caroline Moore; Pilar Laguna; Jurgen J Fütterer; Arvin K George
Journal:  World J Urol       Date:  2021-01-04       Impact factor: 4.226

3.  Targeted MRI-guided prostate biopsy: are two biopsy cores per MRI-lesion required?

Authors:  L Schimmöller; M Quentin; D Blondin; F Dietzel; A Hiester; C Schleich; C Thomas; R Rabenalt; H E Gabbert; P Albers; G Antoch; C Arsov
Journal:  Eur Radiol       Date:  2016-02-26       Impact factor: 5.315

4.  Symmetry based prostate cancer detection.

Authors:  L Yang; Y Xie; B Li; M Xie; X Wang; J Zhang
Journal:  Br J Radiol       Date:  2015-04-22       Impact factor: 3.039

5.  GRASP-Pro: imProving GRASP DCE-MRI through self-calibrating subspace-modeling and contrast phase automation.

Authors:  Li Feng; Qiuting Wen; Chenchan Huang; Angela Tong; Fang Liu; Hersh Chandarana
Journal:  Magn Reson Med       Date:  2019-08-10       Impact factor: 4.668

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.  Role of Multiparametric MR Imaging in Malignancies of the Urogenital Tract.

Authors:  Alberto Diaz de Leon; Daniel Costa; Ivan Pedrosa
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

Review 8.  Target detection: magnetic resonance imaging-ultrasound fusion-guided prostate biopsy.

Authors:  Geoffrey A Sonn; Daniel J Margolis; Leonard S Marks
Journal:  Urol Oncol       Date:  2013-11-13       Impact factor: 3.498

9.  Evaluation of the PI-RADS scoring system for mpMRI of the prostate: a whole-mount step-section analysis.

Authors:  Daniel Junker; Michael Quentin; Udo Nagele; Michael Edlinger; Jonathan Richenberg; Georg Schaefer; Michael Ladurner; Werner Jaschke; Wolfgang Horninger; Friedrich Aigner
Journal:  World J Urol       Date:  2014-08-01       Impact factor: 4.226

10.  Detection of prostate cancer with multiparametric MRI (mpMRI): effect of dedicated reader education on accuracy and confidence of index and anterior cancer diagnosis.

Authors:  Kirema Garcia-Reyes; Niccolò M Passoni; Mark L Palmeri; Christopher R Kauffman; Kingshuk Roy Choudhury; Thomas J Polascik; Rajan T Gupta
Journal:  Abdom Imaging       Date:  2015-01
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