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Abstract #4121

Prostate Cancer Risk Maps Derived from Multi-parametric MRI and Validated by Histopathology

Matthew Gibbons1, Jeffry P Simko2,3, Peter R Carroll2, and Susan Noworolski1
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Urology, University of California, San Francisco, San Francisco, CA, United States, 3Pathology, University of California, San Francisco, San Francisco, CA, United States

Multi-parametric MRI has proven itself to be a clinically useful tool to assess prostate cancer through a qualitative assessment of multiple parameters within the guidelines of PI-RADs. Our objective is to leverage quantitative data combinations to characterize progression risk utilizing an automated procedure. This study showed the feasibility of MRI generated cancer risk maps, created from a combination of pre-prostatectomy, multiparametric MR images (mpMRI), to detect prostate cancer lesions >0.1cc as validated with histopathology. The method also quantified the volume of cancer within the prostate. Method improvements were identified by determining root causes for over and underestimation of cancer volumes.

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