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 Selnæs¹

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, K^trans and V_e), indicating the potential of MRI texture analysis in prostate cancer assessment.

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