By Andrea Ciarmiello, Luigi Mansi
Using SWOT research, this e-book examines intimately the strengths and weaknesses of the hybrid modalities PET-CT and PET-MRI for imaging of the primary worried procedure, evaluating their advantages and comparing their merits over the stand-alone modalities. the purpose is to hire a very systematic technique for you to outline the aptitude scientific good thing about those modalities and to spot shortcomings, possibilities, and threats. scientific program of the modalities is explored in a variety of stipulations, together with dementia and comparable problems, move problems, psychiatric problems, cerebrovascular illness, infection/inflammation, mind tumors, and pediatric neurologic issues. furthermore, the fundamentals of hybrid imaging are addressed, overlaying physics, instrumentation, info research and quantitation, radiopharmaceuticals, and distinction media. PET-CT and PET-MRI in Neurology, written through specialists from Europe and the us, can be crucial analyzing for imaging experts and of price for neurologists, psychiatrists, neurosurgeons, and pediatricians.
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Extra info for PET-CT and PET-MRI in Neurology: SWOT Analysis Applied to Hybrid Imaging
Eckelman 36 It is expected that in the future, brain imaging will continue to benefit from new radiotracers and radiopharmaceuticals, although research activities appear to be less optimistic with respect to the initial enthusiastic consensus . However, the lack of appropriate radiotracers for unknown molecular brain mechanisms represents one of the major challenges for radiochemists in supporting Nuclear Medicine imaging to understand physiological processes and diseases and for application to drug development.
Concerning PET brain imaging, biomarkers such as glucose hypometabolism or brain b-amyloid load have been considered for the diagnosis and/or differential diagnosis of dementia. Statistical approaches, such as voxels-based statistical analysis using statistical parametric mapping (SPM), proved an improvement in clinical diagnostic accuracy of AD and high predictive power for conversion to AD . g. dementia, psychiatric disorders) corresponding to sensitive biomarkers or to a combination of them.
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