Diagnostic Value of Conventional PET Parameters and Radiomic Features Extracted from 18F-FDG-PET/CT for Histologic Subtype Classification and Characterization of Lung Neuroendocrine Neoplasms.

Philippe ThuillierVirginia LiberiniOsvaldo RampadoElena GallioBruno De SantiFrancesco Ceci Jasna MetovicMauro PapottiMarco VolanteFilippo MolinariDésirée Deandreis

Published in: Biomedicines (2021)

In our study, conventional PET parameters were able to distinguish Lu-NECs from Lu-NETs, but not TC from AC. RFs did not provide additional information.

Keyphrases

computed tomography
positron emission tomography
pet ct
machine learning
pet imaging
deep learning
health information
social media