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I n t e r n a t i o n a l C o n f e r e n c e o n
Nuclear Medicine &
Radiation Therapy
Journal of Medical Physics and Applied Sciences
ISSN: 2574-285X
O c t o b e r 0 1 - 0 2 , 2 0 1 8
S t o c k h o l m , S w e d e n
Nuclear Medicine & Radiation Therapy 2018
Page 17
Biography
Pavlina Pike has completed her PhD from the University of Ten-
nessee in 2005. She has completed her Postdoctoral studies in
Medical Physics from the University of Alabama in Birmingham
in 2011. In 2013, she was certified by the American Board of
Radiology in Diagnostic Imaging. She is currently employed as
a Medical Physicist at the Huntsville Hospital Health System in
Huntsville, Alabama.
pavlina.pike@gmail.comPET imaging of proteinopathies in
neurodegenerative disease
Pavlina Pike and Misty Liverett
Huntsville Hospital, USA
Pavlina Pike et al., J. med phys & appl sci 2018, Volume: 3
DOI: 10.21767/2574-285X-C1-001
T
here has been a significant growth in the number of nuclear medicine
procedures in the USA, mostly because of the significant advances
in radiopharmaceuticals, instrumentation, and data analysis. Newer
radiopharmaceuticals such as
68
Ga dota-tate (NETSPOT) can be used with PET/
CT imaging to locate neuroendocrine tumors. Localizing NETs can then lead to
the use of peptide receptor radionuclide therapy such as
177
Lu. The development
of these newer radiopharmaceuticals builds upon each other to offer patients
highly specific targeted imaging and molecular radiotherapy. Hybrid modalities
such as SPECT/CT, PET/CT and PET/MRI are gaining popularity because of
their ability to combine anatomical information from CT and MRI with functional,
metabolic, or physiologic information provided by molecular imaging. The
development of powerful computing algorithms has allowed scientists to extract
pathophysiological information from images from different modalities, based on
quantitative qualities such as texture, intensity, volume, size and shape. Radiomics
is a giant step in the direction of personalized medicine as it provides means to
accurately detect and diagnose tumors and assist with the choice of therapeutic
strategy. Artificial Intelligence has also been employed in assisting radiologists
with image interpretation by highlighting suspicious areas in the image.