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Abstract #2721

Computer aided quantification of prostate cancer diffusion-weighted imaging: repeatability analysis of radiomics as biomarkers for Gleason score prediction

Ileana Montoya Perez1,2, Jussi Toivonen1,2, Parisa Movahedi1,2, Harri Merisaari2,3, Janne Verho2, Pekka Taimen4, Peter J. Boström5, Tapio Pahikkala1, Hannu J. Aronen2,6, and Ivan Jambor2,6

1Department of Future Technologies, University of Turku, Turku, Finland, 2Department of Diagnostic Radiology, University of Turku, Turku, Finland, 3Turku PET Centre, University of Turku, Turku, Finland, 4Department of Pathology, University of Turku and Turku University Hospital, Turku, Finland, 5Department of Urology, University of Turku and Turku University Hospital, Turku, Finland, 6Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland

We evaluated the repeatability of apparent diffusion coefficient, derived using monoexponential function (ADCm) from prostate cancer DWI (12 b values, 0-2000 s/mm2), radiomics of prostate cancer and their potential to predict prostate cancer Gleason score (histological grading system of prostate cancer aggressiveness). Statistical features (mean, median, 10th, 25th percentile) and Gabor texture feature of DWI ADCm parametric maps showed high repeatability and correlated significantly with Gleason score. In contrast, homogeneity gray-level co-occurrence matrix showed low repeatability despite having significant correlation with Gleason score.

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Abstract