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Abstract #0262

Assessment of Radiomic Features of Metabolism in Advanced Prostate Cancer using Hyperpolarized 13C MRI with Whole Abdominopelvic Coverage

Hsin-Yu Chen1, Ivan de Kouchkovsky2, Robert A. Bok1,2, Michael A. Ohliger1, Zhen J. Wang1, Daniel Gebrezgiabhier1, Tanner Nickles1, Lucas Carvajal1, Jeremy W. Gordon1, Peder E.Z. Larson1, John Kurhanewicz1,2, Rahul Aggarwal2, and Daniel B. Vigneron1,2
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, United States

Synopsis

Keywords: Prostate, Prostate, Hyperpolarized 13C MRI

Motivation: Hyperpolarized (HP) 13C-pyruvate MRI can address limitations of PSMA-PET for monitoring therapy and evaluating treatment-emergent, lethal subtypes of prostate cancer.

Goal(s): To establish and characterize a novel radiomics framework of tumor metabolism in advanced prostate cancer based on whole abdominopelvic HP MRI.

Approach: We extracted 316 metabolic features from 16 patients. Following feature selection and classification, their prognostic values were evaluated using uni- and multivariate survival analyses.

Results: Metabolic feature kPL,median (pyruvate-to-lactate conversion rate) significantly predicted both progression-free (p<0.01) and overall (p<0.05) survivals with longer median PFS (11.2 vs 0.5 months) and OS (NR vs 18.4 months) in the lower- vs higher-kPL subgroups.

Impact: A novel radiomics framework based on whole abdominopelvic hyperpolarized 13C-pyruvate MRI extracted and evaluated 316 metabolic features of advanced prostate cancer. Selected features significantly predicted clinical outcome measures (PFS and OS), strongly supporting further investigation of their prognostic values.

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