-Translational Cancer Imaging (TCI) Shared Resource The goal of the Translational Cancer Imaging (TCI) resource is to provide cancer center members with a comprehensive imaging service that will facilitate basic, clinical, as well as translational cancer research at UNC. The TCI has expanded from the original Small Animal Imaging Core to include four key units: 1) Cyclotron & Imaging Probe; 2) Preclinical Imaging; 3) Clinical Research Imaging; and 4) Image Analysis. The expansion of the imaging core will not only enhance our overall imaging capability, but also greatly expedite cancer research developed from basic science to clinical application with advanced tools and channels built within the TCI. The new Cyclotron and Imaging Probe unit contains all the equipment needed to support radiopharmaceutical development, clinical translation, and probe production for molecular imaging studies. Key components include state of the art radiochemistry research facility with a high energy (16.5 MeV) GE PETtrace cyclotron, multiple automated radiochemical processing modules, clean room, hot cells and other ancillary equipment. The Animal Imaging unit has a new mouse 3,000 cage holding unit and houses eleven pieces of imaging equipment dedicated for animal studies, including a 9.4T animal MR scanner, one animal PET/CT scanner, one SPECT/CT scanner, one high resolution microCT for specimens, one microCT systems for in vivo studies, two high resolution ultrasound system, three IVIS optical imaging systems, and one 3D tomographic fluorescence imaging system. With all the equipment located in one centralized space, the preclinical imaging unit is capable of providing non-invasive imaging, longitudinal studies, as well as multimodality imaging on animal models in various cancer applications. The Human Imaging unit is equipped with one 3T whole body MRI scanner, one integrated MRI/PET scanner, one PET/CT scanner, and one whole body 7T MRI scanner, all dedicated for clinical research. Again, they are all located in one centralized space right above the animal Imaging unit. These dedicated instruments strongly support the translational cancer research in a seamless fashion. The Image Analysis unit will continue to provide advanced analysis tools, customized software, and data storage and transfer tools to support imaging studies. For the next funding cycle, the TCI proposes two major aims, namely 1) to enhance infrastructure for imaging probe services and translational development; 2) strengthen animal and human imaging support in cancer research. We will enhance the infrastructure to provide imaging probe development and production services for both preclinical and clinical usage. Meanwhile, we will continue expanding our imaging capability, improving infrastructures for translational imaging study, and promoting human imaging research.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Center Core Grants (P30)
Project #
Application #
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of North Carolina Chapel Hill
Chapel Hill
United States
Zip Code
Smith, Jennifer S; Des Marais, Andrea C; Deal, Allison M et al. (2018) Mailed Human Papillomavirus Self-Collection With Papanicolaou Test Referral for Infrequently Screened Women in the United States. Sex Transm Dis 45:42-48
Morris, Michael J; Rumble, R Bryan; Basch, Ethan et al. (2018) Optimizing Anticancer Therapy in Metastatic Non-Castrate Prostate Cancer: American Society of Clinical Oncology Clinical Practice Guideline. J Clin Oncol 36:1521-1539
Hisada, Yohei; Thålin, Charlotte; Lundström, Staffan et al. (2018) Comparison of microvesicle tissue factor activity in non-cancer severely ill patients and cancer patients. Thromb Res 165:1-5
Westmoreland, Katherine D; El-Mallawany, Nader K; Kazembe, Peter et al. (2018) Dissecting heterogeneous outcomes for paediatric Burkitt lymphoma in Malawi after anthracycline-based treatment. Br J Haematol 181:853-854
Kulis, Michael; Yue, Xiaohong; Guo, Rishu et al. (2018) High- and low-dose oral immunotherapy similarly suppress pro-allergic cytokines and basophil activation in young children. Clin Exp Allergy :
Malta, Tathiane M; Sokolov, Artem; Gentles, Andrew J et al. (2018) Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation. Cell 173:338-354.e15
Lund, Jennifer L; Sanoff, Hanna K; Peacock Hinton, Sharon et al. (2018) Potential Medication-Related Problems in Older Breast, Colon, and Lung Cancer Patients in the United States. Cancer Epidemiol Biomarkers Prev 27:41-49
Wu, Shih-Ying; Fix, Samantha M; Arena, Christopher B et al. (2018) Focused ultrasound-facilitated brain drug delivery using optimized nanodroplets: vaporization efficiency dictates large molecular delivery. Phys Med Biol 63:035002
Juliano, Rudolph L; Wang, Ling; Tavares, Francis et al. (2018) Structure-activity relationships and cellular mechanism of action of small molecules that enhance the delivery of oligonucleotides. Nucleic Acids Res 46:1601-1613
El-Mallawany, Nader Kim; Kamiyango, William; Villiera, Jimmy et al. (2018) Proposal of a Risk-Stratification Platform to Address Distinct Clinical Features of Pediatric Kaposi Sarcoma in Lilongwe, Malawi. J Glob Oncol :1-7

Showing the most recent 10 out of 1525 publications