[18F]FDG PET-Based Radiomics and Machine Learning for the Assessment of Gliomas and Glioblastomas: A Systematic Review

[18F]FDG PET-Based Radiomics and Machine Learning for the Assessment of Gliomas and Glioblastomas: A Systematic Review

Background: Some evidence of the value of 18F-fluorodesoxyglucose ([18F]FDG) positron emission tomography (PET) imaging for the assessment of gliomas and glioblastomas (GBMs) is emerging. The aim of this systematic review was to assess the role of [18F]FDG PET-based radiomics and machine learning (M...

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Bibliographic Details
Main Authors: Francesco Dondi, Roberto Gatta, Maria Gazzilli, Pietro Bellini, Gian Luca Viganò, Cristina Ferrari, Antonio Rosario Pisani, Giuseppe Rubini, Francesco Bertagna
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Information
Subjects:
PET
PET/CT
positron emission tomography
[18F]FDG
glioma
glioblastoma
Online Access:https://www.mdpi.com/2078-2489/16/1/58
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