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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