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.
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