Radiomics insight into the neurodegenerative "

Alzheimer’s disease (AD) Parkinson’s disease (PD) neurodegenerative disease nuclear medicine radiomics

Journal

Frontiers in nuclear medicine (Lausanne, Switzerland)
ISSN: 2673-8880
Titre abrégé: Front Nucl Med
Pays: Switzerland
ID NLM: 9918470388806676

Informations de publication

Date de publication:
2023
Historique:
received: 12 01 2023
accepted: 10 02 2023
medline: 27 2 2023
pubmed: 27 2 2023
entrez: 2 10 2024
Statut: epublish

Résumé

The application of radiomics for non-oncologic diseases is currently emerging. Despite its relative infancy state, the evidence highlights the potential of radiomics approaches to serve as neuroimaging biomarkers in the field of the neurodegenerative brain. This systematic review presents the last progress and potential application of radiomics in the field of neurodegenerative nuclear imaging applied to positron-emission tomography (PET) and single-photon emission computed tomography (SPECT) by focusing mainly on the two most common neurodegenerative disorders, Alzheimer's (AD) and Parkinson's disease (PD). A comprehensive review of the current literature was performed using the PubMed and Web of Science databases up to November 2022. The final collection of eighteen relevant publications was grouped as AD-related and PD-related. The main efforts in the field of AD dealt with radiomics-based early diagnosis of preclinical AD and the prediction of MCI to AD conversion, meanwhile, in the setting of PD, the radiomics techniques have been used in the attempt to improve the assessment of PD diagnosis, the differential diagnosis between PD and other parkinsonism, severity assessment, and outcome prediction. Although limited evidence with relatively small cohort studies, it seems that radiomics-based analysis using nuclear medicine tools, mainly [18F]Fluorodeoxyglucose (FDG) and

Identifiants

pubmed: 39355054
doi: 10.3389/fnume.2023.1143256
pmc: PMC11440921
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1143256

Informations de copyright

© 2023 Aghakhanyan, Di Salle, Fanni, Francischello, Cioni, Cosottini, Volterrani and Neri.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Gayane Aghakhanyan (G)

Academic Radiology, Department of Translational Research and of New Surgical and Medical Technology, University of Pisa, Pisa, Italy.

Gianfranco Di Salle (G)

Academic Radiology, Department of Translational Research and of New Surgical and Medical Technology, University of Pisa, Pisa, Italy.

Salvatore Claudio Fanni (SC)

Academic Radiology, Department of Translational Research and of New Surgical and Medical Technology, University of Pisa, Pisa, Italy.

Roberto Francischello (R)

Academic Radiology, Department of Translational Research and of New Surgical and Medical Technology, University of Pisa, Pisa, Italy.

Dania Cioni (D)

Academic Radiology, Department of Translational Research and of New Surgical and Medical Technology, University of Pisa, Pisa, Italy.

Mirco Cosottini (M)

Neuroradiology Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.

Duccio Volterrani (D)

Regional Center of Nuclear Medicine, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.

Emanuele Neri (E)

Academic Radiology, Department of Translational Research and of New Surgical and Medical Technology, University of Pisa, Pisa, Italy.

Classifications MeSH