Radiomics Analysis of Brain [<sup>18</sup>F]FDG PET/CT to Predict Alzheimer’s Disease in Patients with Amyloid PET Positivity: A Preliminary Report on the Application of SPM Cortical Segmentation, Pyradiomics and Machine-Learning Analysis

Radiomics Analysis of Brain [<sup>18</sup>F]FDG PET/CT to Predict Alzheimer’s Disease in Patients with Amyloid PET Positivity: A Preliminary Report on the Application of SPM Cortical Segmentation, Pyradiomics and Machine-Learning Analysis

Background: Early in-vivo diagnosis of Alzheimer’s disease (AD) is crucial for accurate management of patients, in particular, to select subjects with mild cognitive impairment (MCI) that may evolve into AD, and to define other types of MCI non-AD patients. The application of artificial intelligence...

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Bibliographic Details
Main Authors: Pierpaolo Alongi, Riccardo Laudicella, Francesco Panasiti, Alessandro Stefano, Albert Comelli, Paolo Giaccone, Annachiara Arnone, Fabio Minutoli, Natale Quartuccio, Chiara Cupidi, Gaspare Arnone, Tommaso Piccoli, Luigi Maria Edoardo Grimaldi, Sergio Baldari, Giorgio Russo
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Diagnostics
Subjects:
radiomics
Alzheimer’s disease
PET/CT
machine learning
Online Access:https://www.mdpi.com/2075-4418/12/4/933

Internet

https://www.mdpi.com/2075-4418/12/4/933

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