Meeting Banner
Abstract #3847

Discriminating low-grade from high-grade peripheral zone prostate cancer by multiparametric MRI: a multicenter study

Marnix C. Maas 1 , Geert J.S. Litjens 1,2 , Alan J. Wright 3 , Masoom A. Haider 4 , Katarzyna J. Macura 5 , Kirsten M. Selns 6 , Daniel J.A. Margolis 7 , Thomas Helbich 8 , Berthold Kiefer 9 , Jurgen J. Ftterer 1 , and Tom W.J. Scheenen 1

1 Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, GLD, Netherlands, 2 Pathology, Radboud University Medical Center, Nijmegen, GLD, Netherlands, 3 Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom, 4 Sunnybrook Health Sciences Center, University of Toronto, Toronto, ON, Canada, 5 Russel H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States, 6 Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway, 7 Radiology, UCLA David Geffen School of Medicine, Los Angeles, CA, United States, 8 Biomedical Imaging and Image-guided Therapy, Medical University Vienna - General Hospital Vienna, Vienna, Austria, 9 Siemens AG Healthcare, Erlangen, Germany

This study investigates the ability of multiparametric MRI (mpMRI) including DWI, 1H-MRSI and DCE-MRI to discriminate low-grade from higher-grade peripheral zone (PZ) prostate cancer in a multi-center setting, using whole-mount section histopathology as the gold standard. Guided by histology and blinded to functional imaging, ROIs were defined on T2w imaging in PZ tumors in 39 patients from 5 centers, and transferred to functional parameter maps. ROC analysis resulted in areas under the curve of 0.800.13 for ADC and 0.830.15 for a multivariate model including both ADC and MRSI. Multicenter mpMRI can yield good separation between low and higher grade PZ tumors.

This abstract and the presentation materials are available to members only; a login is required.

Join Here