Harald Busse1, Josephin Otto1, Alexander Schaudinn1, Nicolas Linder1, Nikita Garnov1, Minh Do2, Roman Ganzer2, Jens-Uwe Stolzenburg2, Lars-Christian Horn3, Thomas Kahn1, and Michael Moche1
1Diagnostic and Interventional Radiology Department, Leipzig University Hospital, Leipzig, Germany, 2Urology Department, Leipzig University Hospital, Leipzig, Germany, 3Institute of Pathology, University of Leipzig, Leipzig, Germany
Multiparametric MRI (mpMRI)
has been shown to improve detection, localization and characterization in
patients with suspected prostate cancer (PCa). The Prostate Imaging Reporting
and Data System (PIRADS) aims to establish corresponding technical parameters
and simplify reporting. While computer-aided evaluation (CAE) technology is not
required for prostate mpMRI interpretation, the current PIRADS guideline (v2) also states that
CAE may improve workflow, provide quantitative perfusion data, enhance
discrimination performance for less experienced radiologists and also
facilitate integration of MRI data for some biopsy systems. The goal of this
work was to demonstrate relevant features and benefits of an investigational
PC-based CAE tool.