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Machine 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 Radiomics

Authors
Cao, Yufeng, Sutera, Philip, Silva Mendes, William, Yousefi, Bardia, Hrinivich, Tom, Deek, Matthew, Phillips, Ryan, Song, Daniel, Kiess, Ana Ponce, Cem Guler, Ozan, Torun, Nese, Reyhan, Mehmet, Sawant, Amit, Marchionni, Luigi, Simone, Nicole L., Tran, Phuoc T., Onal, Cem, Ren, Lei
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2024-07-22
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Peer Reviewed
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Poster/Presentation
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Faculty, Student Works School of Medicine
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Cao_Machine-learning-predicts_2024_SOM.pdf
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American Association of Physicists in Medicine, July 22, 2024.
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Attribution-NonCommercial-NoDerivatives 4.0 International
Keyword
Biomarkers
 Diagnostic Imaging
 Positron-Emission Tomography
 Tomography, X-Ray Computed
 Survival Analysis
 Metastasis.
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http://hdl.handle.net/10713/22615
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