Abstract #4564

Prostate cancer detection with biophysical modeling of diffusion and relaxometry

Gregory Lemberskiy^1,2, Yousef Mazaheri³, Herbert Alberto Vargas³, Ricardo Otazo³, Els Fieremans¹, and Dmitry S Novikov¹

¹Radiology, New York University School of Medicine, New York, NY, United States, ²Microstructure Imaging INC, New York, NY, United States, ³Memorial Sloan Kettering Cancer Center, New York, NY, United States

For prostate cancer imaging, increasing the echo time selectively suppresses the cellular tissue, and emphasizes luminal water. We study the ADC dependence on echo time and diffusion time in 3 patients with PIRADS≥4 lesions, and propose a modeling strategy to interpret the changes in signal, as lumen diameter and volume fraction shrink during cancer progression. We evaluate cellular and luminal diffusivities, volume fractions, and luminal diameters as cancer biomarkers.

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