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Abstract #4781

Intersequence Variability in Multiparametric-Derived 3D Prostate Tumor Volumetrics at 3.0T

Fiona M. Fennessy1, Sota Oguro1, Yi Tang1, Robert V. Mulkern1, Steven Haker1, Ehud J. Schmidt1, Sandeep Gupta2, Clare M. Tempany1

1Radiology, Brigham and Women's Hospital, Boston, MA, United States; 2GE Global Research, Niskayuna,, NY, United States

Newer approaches for prostate cancer treatment mandate improvements in MR imaging to allow for accurate index lesion detection and display, to guide biopsy and focal therapy. In 9 pathology-proven prostate cancer patients, we manually segmented tumor according to multiparametric MR (mpMR) sequences using 3D-slicer software, and obtained volumetrics for each. Volumes based on DCE maps were significantly greater than those based on ADC maps (p=0.011) or T2WI (p=0.001), possibly reflecting different physiological properties of tumor assessed with mpMR. Volume discrepancies can be displayed in a single framework, and should be taken into consideration for tumor mapping in focal therapy planning.