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Abstract #3179

Mean Kurtosis discriminates between low- and high-risk prostate cancer better than Mean diffusivity does

Maria Giovanna Di Trani1,2, Alessandra Caporale2,3, Marco Nezzo4, Roberto Miano5, Alessandro Mauriello6, Pierluigi Bove7, Guglielmo Manenti4, and Silvia Capuani8

1SAIMLAL Dept., Morphogenesis and Tissue Engineering, Sapienza University of Rome, Rome, Italy, 2Physics Dept., CNR ISC UOS Roma Sapienza, Rome, Italy, 3SAIMLAL Dept., Morpho-functional Sciences, Sapienza University of Rome, Rome, 4Department of Diagnostic and Interventional Radiology, Molecular Imaging and Radiotherapy, PTV Foundation, “Tor Vergata” University of Rome, Rome, Italy, 5Urology Unit, Department of Experimental Medicine and Surgery, 6Anatomic Pathology, Department of Biomedicine and Prevention, PTV Foundation, “Tor Vergata” University of Rome, 7Urology Unit, Department of Experimental Medicine and Surgery, PTV Foundation, “Tor Vergata” University of Rome, 8CNR ISC UOS Roma Sapienza, Rome, Italy

This work was finalized to compare the diagnostic potential of Diffusion Tensor and Diffusion Kurtosis Imaging in discriminating between low- and high-risk prostate cancer (Pca). Maps of Mean Diffusivity (MD), apparent Kurtosis (K) and apparent diffusion coefficient (D) were obtained from DWIs of 24 patients with different tumour grade. K maps better highlight differences between periferal PCa, PCa and benign tissue. In particular K discriminates between low- and high-risk PCa with a higher statistical significance compared to that of MD. DKI can improve the accuracy of the current PCa diagnosis providing a useful tool for PCa detection and grading.

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