The MIBC TCGA group has collected a large archive of cases with extensive molecular characterization from multiple sites. Our group has led the radiomic evaluation of a large cohort of these patients and is currently performing multiomic analysis to identify imaging surrogates for molecular markers.
Collaborators: Seth Lerner (Baylor), TCGA MIBC Group, Indy Gill (USCUrology),
Funding: RSNA seed grants
Selected published Papers | PMID 30022220, 27432379, 33958149, 34508246 |
Abstracts | Multiple abstracts at ASCO, SWOG, EAU, AUA, RSNA, SPIE |
Future directions (ongoing):
a) Molecular characterization and pathway associations with imaging
c) development of an interface allowing human expert augmented deep learning evaluation of bladder cancer
d) development of radiomic profiles predictive of a good response to specific treatments