Abstract #1067
Multiparametric MRI to Differentiate High-Risk From Low-Risk Prostate Cancer
Olga Starobinets 1 , Jeffry Simko 2,3 , Kyle Kuchinsky 2 , John Kornak 4 , John Kurhanewicz 1,5 , Dan Vigneron 1,5 , Peter Carroll 3 , Kirsten Greene 3 , and Susan Noworolski 1,5
1
Graduate Group in Bioengineering, University
of California, San Francisco and Berkeley, San
Francisco, CA, United States,
2
Pathology,
University of California, San Francisco, CA, United
States,
3
Urology,
University of California, San Francisco, CA, United
States,
4
Epidemiology
and Biostatistics, University of California, San
Francisco, CA, United States,
5
Radiology
and Biomedical Imaging, University of California, San
Francisco, CA, United States
The purpose of this study was to use semi-quantitative
and pharmacokinetically modeled parameters derived from
dynamic contrast-enhanced (DCE) MRI, diffusion MR and
MRI to differentiate high-risk from low-risk prostate
cancers using digitally aligned whole-mount pathology as
the standard of reference. High-risk prostate cancer had
significantly lower ADC (p<0.05) and washout slope
(p<0.05) than low-risk prostate cancer. A logistic
regression combination of parameters provided improved
discrimination (AUC=0.95). Without ADC, a combined model
yielded AUC of 0.87 for discriminating high versus low
risk prostate cancer.
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