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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?
Author(s) -
Dickinson Louise,
Ahmed Hashim U.,
Allen Clare,
Barentsz Jelle O.,
Carey Brendan,
Futterer Jurgen J.,
Heijmink Stijn W.,
Hoskin Peter,
Kirkham Alex P.,
Padhani Anwar R.,
Persad Raj,
Puech Philippe,
Punwani Shonit,
Sohaib Aslam,
Tombal Bertrand,
Villers Arnauld,
Emberton Mark
Publication year - 2013
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.23689
Subject(s) - prostate cancer , multiparametric mri , medicine , prostate , standardization , magnetic resonance imaging , medical physics , clinical practice , cancer , radiology , computer science , family medicine , operating system
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. J. Magn. Reson. Imaging 2013;37:48–58.