Kyle Padgett
Research Assistant Professor
Radiation Oncology
University of Miami
United States of America
Biography
Kyle R. Padgett, Ph.D. received his Ph.D. in Nuclear Engineering with a specialty in Medical Physics from the University of Florida in 2005. Immediately following his Ph.D. he joined the faculty at the University of Miami in the department of Radiology to create and run the “High-Field MRI Bio-Medical Research Facility” which focused in the following areas of research; spinal cord injury, cancer, myocardial infarction, stroke and the structural and functional connectivity of the brain. In 2011 Dr. Padgett became a faculty member in the department of Radiation Oncology at the University of Miami to focus on integrating advanced MRI imaging applications into the radiation oncology with a focus on MRI guided radiotherapy. Dr. Padgett is board certified by the ABR in Therapeutic Radiological Physics and is licensed by the state of Florida as an authorized medical physicist with additional rights to perform high dose rate brachytherapy physics support and MRI guided radiotherapy utilizing the MRIdian™ system. He has published many peer-reviewed journal articles and scientific abstracts with over 20 articles and 40 abstracts. He is also a reviewer for the International Journal of Radiation Oncology, Biology, Physics Journal and the Journal of Medical Physics.
Research Interest
Integration of advanced imaging applications and MRI to external beam radiotherapy and brachytherapy. Additionally interests include, image-guided adaptive radiation therapy and deformable image registration..
Publications
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Obeid, J. P., Stoyanova, R., Kwon, D., Patel, M., Padgett, K., Slingerland, J., ... Zeidan, Y. H. (2016). Multiparametric evaluation of preoperative MRI in early stage breast cancer: prognostic impact of peri-tumoral fat. Clinical and Translational Oncology, 1-8. DOI: 10.1007/s12094-016-1526-9
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Johnson, P. B., Padgett, K. R., Chen, K. L., & Dogan, N. (2016). Evaluation of the tool "Reg Refine" for user-guided deformable image registration. Journal of Applied Clinical Medical Physics, 17(3), 158-170.
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Parra, N. A., Orman, A., Padgett, K., Casillas, V., Punnen, S., Abramowitz, M., ... Stoyanova, R. (2016). Dynamische kontrastmittelverstärkte MRT (DCE-MRI) zur automatischen Erkennung von residualen oder rezidivierenden Krebsherden nach Prostatektomie. Strahlentherapie und Onkologie, 1-9. DOI: 10.1007/s00066-016-1055-z