Ellen Ackerstaff1, Xin Li2, Sohyun Han3, DongKyu Lee3, HyungJoon Cho3, Sean Carlin1, Jason A Koutcher1, Wei Huang2
1Memorial Sloan-Kettering Cancer Center, New York, NY, United States; 2Oregon Health & Science University, Portland, OR, United States; 3Ulsan National Institute of Science and Technology (UNIST), EonYang-eup, Ulju-gun, Ulsan, Korea, Republic of
The non-invasive detection and quantification of hypoxic areas in tumors is of tremendous interest for the purpose of predicting and monitoring cancer treatment response. We analyze DCE-MRI data in a preclinical cancer model with the Shutter-Speed Model to investigate its ability to distinguish tumor areas that are well perfused (oxygenated), hypoxic (viable), or necrotic. Our preliminary results indicate that a combination of Ktrans and τ i can separate areas that are predominantly viable/well-perfused or viable/hypoxic or necrotic. The successful implementation of Shutter-Speed DCE-MRI assessment of the tumor microenvironment may potentially obviate the need for supplementary imaging studies, such as 18F-Fmiso PET.