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Rofo. 2013 Mar;185(3):253-61. doi: 10.1055/s-0032-1330270. Epub 2013 Feb 12.

[PI-RADS classification: structured reporting for MRI of the prostate].

[Article in German]

Author information

  • 1Abteilung für Radiologie, Deutsches Krebsforschungszentrum, Heidelberg. m.roethke@dkfz.de

Abstract

PURPOSE:

To flesh out the ESUR guidelines for the standardized interpretation of multiparametric magnetic resonance imaging (mMRI) for the detection of prostate cancer and to present a graphic reporting scheme for improved communication of findings to urologists.

MATERIALS AND METHODS:

The ESUR has recently published a structured reporting system for mMRI of the prostate (PI-RADS). This system involves the use of 5-point Likert scales for grading the findings obtained with different MRI techniques. The mMRI includes T2-weighted MRI, diffusion-weighted imaging, dynamic contrast-enhanced MRI, and MR spectroscopy. In a first step, the fundamentals of technical implementation were determined by consensus, taking into account in particular the German-speaking community. Then, representative images were selected by consensus on the basis of examinations of the three institutions. In addition, scoring intervals for an aggregated PI-RADS score were determined in consensus.

RESULTS:

The multiparametric methods were discussed critically with regard to implementation and the current status. Criteria used for grading mMRI findings with the PI-RADS classification were concretized by succinct examples. Using the consensus table for aggregated scoring in a clinical setting, a diagnosis of suspected prostate cancer should be made if the PI-RADS score is 4 or higher (≥ 10 points if 3 techniques are used or ≥ 13 points if 4 techniques are used). Finally, a graphic scheme was developed for communicating mMRI prostate findings.

CONCLUSION:

Structured reporting according to the ESUR guidelines contributes to quality assurance by standardizing prostate mMRI, and it facilities the communication of findings to urologists.

© Georg Thieme Verlag KG Stuttgart · New York.

PMID:
23404430
[PubMed - indexed for MEDLINE]
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