The requirement to study cancer in its native environment has lead to the development of imaging technologies that can non-invasively and quantitatively interrogate both primary and metastatic disease. This involves mathematical modeling, application of these models in small animal tumors systems, and ultimately applying the most promising techniques in human breast cancer. The overall goal of Dr. Yankeelov's research is to develop advanced imaging methods for the characterization of human tumors and to evaluate their role as potential surrogate biomarkers of treatment responses and tissue status for use in clinical trials and drug discovery.
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- Vanderbilt-Ingram Cancer Center
Faculty Member
1161 21st Avenue South MCN AA-1105
Nashville, TN
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Key: MeSH Term Keyword
Algorithms Annexin A5 Apoptosis Axillary Artery biophysical modeling Biophysical Phenomena Bone Neoplasms cancer imaging Cell Hypoxia Coronary Circulation Diagnosis, Computer-Assisted Diagnostic Imaging Diffusion Magnetic Resonance Imaging Disease Models, Animal Durapatite Fibroadenoma Fluorine Radioisotopes Forecasting Gene Expression Regulation, Neoplastic Gliosarcoma Humans Injections, Intravenous Integrin alpha2beta1 Mammary Neoplasms, Animal Mammography Molecular Probes Monte Carlo Method MRI Muscle, Skeletal PET Rats Research Support as Topic Software Translational Research, Biomedical