Abstract #1162

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

Mattijs Elschot¹, Kirsten M Selnæs^1,2, Elise Sandsmark¹, Jose R Teruel³, Brage Krüger-Stokke^1,4, Øystein Størkersen⁵, May-Britt Tessem¹, Siver A Moestue^1,6, Helena Bertilsson^7,8, and Tone F Bathen^1,2

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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