Abstract #2721

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

Ileana Montoya Perez^1,2, Jussi Toivonen^1,2, Parisa Movahedi^1,2, Harri Merisaari^2,3, Janne Verho², Pekka Taimen⁴, Peter J. Boström⁵, Tapio Pahikkala¹, Hannu J. Aronen^2,6, and Ivan Jambor^2,6

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, 10^th, 25^th 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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