Abstract #3179

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

Maria Giovanna Di Trani^1,2, Alessandra Caporale^2,3, 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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here