DOI: 10.20452/pamw.4456, Published online: February 22, 2019, Authors: Marzanna Obrzut¹, Vitaliy Atamaniuk¹, Bogdan Obrzut², Richard Ehman³, Marian Cholewa¹, Mateusz Rzucidło⁴, Andrii Pozaruk^1,5, Krzysztof Gutkowski⁴

This study evaluated the hypothesis that ⁶⁸Ga-PSMA-11 PET SUV, obtained via an advanced DL approach, correlates better with MR ADC maps than values from conventional PET-MR. Additionally, we aimed to identify the optimal SUV threshold for maximum correlation with ADC values. A cohort of 32 prostate cancer patients underwent CT and corresponding PET-MR imaging. The dataset underwent K-fold cross-validation, dividing it into four folds. In each fold, 24 patients were used for training, and 8 for validation to create DL models. ADC maps from 27 out of 32 patients were successfully aligned with T2 images for detailed analysis, revealing an inverse correlation (ρ = −0.20 to −0.51) between ADC and SUV values in prostate cancer zones. Statistically significant differences in mean SUV values were observed between PETMRI and PETDL. DL-based SUV values show a stronger correlation with ADC than conventional PET-MR values in our investigation.