Abstract #4366

Texture Analysis in Magnetic Resonance Fingerprinting of the Prostate: Utility for Differentiation of Grade, and Cancer from Non-cancerous tissue.

Samuel Frankel¹, Ananya Panda², Debra McGivney², Gregory O'Connor¹, Alice Yu³, Mark Griswold^2,4,5, Chaitra Badve^1,2,4, and Vikas Gulani^2,4,5

¹School of Medicine, Case Western Reserve University, Cleveland, OH, United States, ²Radiology, Case Western Reserve University, Cleveland, OH, United States, ³Johns Hopkins University, Baltimore, MD, United States, ⁴Radiology, UH Cleveland Medical Center, Cleveland, OH, United States, ⁵BME, Case Western Reserve University, Cleveland, OH, United States

Prostate cancer and prostatitis can have considerable overlap on conventional MR imaging. Texture analysis on multiparametric MRI shows promise in characterization of prostate, but has not been used on quantitative prostate maps. Here we utilize texture analysis on magnetic resonance fingerprinting (MRF) maps of prostate for characterization of prostate lesions. Results show that texture features can differentiate cancer and non-cancerous transition zone and between grades of cancer in peripheral zone. This could add value to MRF-based relaxometry and conventional MRI to improve lesion characterization.

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