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Abstract #0196

Evaluation of T2W MRI-derived Textural Entropy for Assessment of Prostate Cancer Aggressiveness

Gabriel Nketiah1, Mattijs Elschot1, Eugene Kim 1, Tone Frost Bathen 1, and Kirsten Margrete Seln├Žs1

1Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway

The complexity of the prostatic tissue requires sensitive, accurate and reproducible assessment methods for aggressiveness of prostatic carcinomas, especially in differentiating between Gleason score 3+4 and 4+3 tumors. We evaluated the applicability of T2W MRI-derived textural entropy as a potential marker for assessing prostate cancer aggressiveness. Our study found textural entropy to correlate moderately positive and negative with Gleason score and apparent diffusion coefficient (ADC), respectively. T2W image textural entropy differentiated Gleason score 3+4 and 4+3 tumors with higher accuracy than other MRI-derived parameters (ADC, Ktrans and Ve), indicating the potential of MRI texture analysis in prostate cancer assessment.

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