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Abstract #0966

Detection and Grading of Prostate Cancer using Diffusion Weighted Imaging: Kurtosis versus ADC

Matthias C. Roethke 1 , Tristan Kuder 2 , Timur H. Kuru 3 , Boris Hadaschik 3 , Michael Fenchel 1 , Frederik Laun 2 , and Bram Stieltjes 1

1 Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2 Medical Physics, German Cancer Research Center (DKFZ), Heidelberg, Germany, 3 Urology, University Hospital Heidelberg, Germany

Diffusion weighted imaging is established in state-of-the-art MRI of prostate cancer (PCa). In addition to the classic monoexponential diffusion fit, diffusional kurtosis and may contain additional information about tissue structure. Thus, aim of the study was to investigate the additional value of kurtosis imaging in patients with PCa. 3 Tesla MRI was performed in 55 patients with biopsy-proven PCa. Using a ROI- and pixel-based quantitative evaluation, we found significant difference between PCa and benign tissue using both kurtosis derived parameters and standard ADC. However, considering lesion detection and grading, there was no benefit of kurtosis imaging compared to standard ADC.

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