The role of the deep convolutional neural network as an aid to interpreting brain [18F]DOPA PET/CT in the diagnosis of Parkinson's disease.

Arnoldo PiccardoRoberto CappuccioGianluca BottoniDiego CecchinLuca MazzellaAlessio CironeSergio RighiMartina UgoliniPietro BianchiPietro BertolacciniElena LorenziniMichela MassolloAntonio CastaldiFrancesco FizLaura StradaAngelina CistaroMassimo Del Sette

Published in: European radiology (2021)

• [18F]DOPA PET/CT is a sensitive diagnostic tool to identify patients with nigro-striatal neurodegeneration. • A semiquantitative evaluation of the images allows a more confident interpretation of the PET findings. • 3D convolutional neural network allows an accurate interpretation of 18F-DOPA PET/CT images, revealing patients affected by Parkinson's disease.

Keyphrases

pet ct
convolutional neural network
deep learning
positron emission tomography
end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
peritoneal dialysis
high resolution
computed tomography
patient reported outcomes
optical coherence tomography
deep brain stimulation