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Abstract #1162

Multimodal multiparametric 18F-Fluciclovine PET/MRI improves computer-assisted detection of primary prostate cancer

Mattijs Elschot1, Kirsten M Selnæs1,2, Elise Sandsmark1, Jose R Teruel3, Brage Krüger-Stokke1,4, Øystein Størkersen5, May-Britt Tessem1, Siver A Moestue1,6, Helena Bertilsson7,8, and Tone F Bathen1,2

1Department of Circulation and Medical Imaging, NTNU, Norwegian University of Science and Technology, Trondheim, Norway, 2St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway, 3Department of Radiology, University of California San Diego, La Jolla, CA, United States, 4Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway, 5Department of Pathology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway, 6Department of Laboratory Medicine, Children’s and Women’s Health, NTNU, Norwegian University of Science and Technology, Trondheim, Norway, 7Department of Cancer Research and Molecular Medicine, NTNU, Norwegian University of Science and Technology, Trondheim, Norway, 8Department of Urology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway

Computer-assisted algorithms have been proposed to support radiological reading of multiparametric MRI (mpMRI) images for the detection of primary prostate cancer, but have limited sensitivity. In this work, we investigated if standardized uptake values (SUV) from combined 18F-Fluciclovine PET/mpMRI can improve automated tumor detection. We found that, at the same number of false positives, a model based on combined PET/mpMRI correctly detected more tumors than models based on mpMRI only or PET only. These findings suggest that there is a potential role for multimodal multiparametric 18F-Fluciclovine PET/MRI for computer-assisted detection of primary prostate cancer.

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