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dc.contributor.authorCao, Yufeng
dc.contributor.authorSutera, Philip
dc.contributor.authorSilva Mendes, William
dc.contributor.authorYousefi, Bardia
dc.contributor.authorHrinivich, Tom
dc.contributor.authorDeek, Matthew
dc.contributor.authorPhillips, Ryan
dc.contributor.authorSong, Daniel
dc.contributor.authorKiess, Ana Ponce
dc.contributor.authorCem Guler, Ozan
dc.contributor.authorTorun, Nese
dc.contributor.authorReyhan, Mehmet
dc.contributor.authorSawant, Amit
dc.contributor.authorMarchionni, Luigi
dc.contributor.authorSimone, Nicole L.
dc.contributor.authorTran, Phuoc T.
dc.contributor.authorOnal, Cem
dc.contributor.authorRen, Lei
dc.date.accessioned2024-07-29T17:39:50Z
dc.date.available2024-07-29T17:39:50Z
dc.date.issued2024-07-22
dc.identifier.urihttp://hdl.handle.net/10713/22615
dc.descriptionAmerican Association of Physicists in Medicine, July 22, 2024.en_US
dc.language.isoen_USen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.lcshMetastasis.en_US
dc.subject.meshBiomarkersen_US
dc.subject.meshDiagnostic Imagingen_US
dc.subject.meshPositron-Emission Tomographyen_US
dc.subject.meshTomography, X-Ray Computeden_US
dc.subject.meshSurvival Analysisen_US
dc.titleMachine learning predicts conventional imaging metastasis-free survival (MFS) for oligometastatic castration-sensitive prostate cancer (omCSPC) using multi-modality imaging prostate-specific membrane antigen (PSMA) PET and CT Radiomicsen_US
dc.typePoster/Presentationen_US
refterms.dateFOA2024-07-29T17:40:00Z


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International