A Systematic Review of PET Contrasted with MRI for Detecting Crossed Cerebellar Diaschisis in Patients with Neurodegenerative Diseases.

Parkinson disease and related disorders dementia and related disorders neurodegenerative disorders neuroimaging nuclear medicine

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
09 May 2023
Historique:
received: 16 03 2023
revised: 21 04 2023
accepted: 05 05 2023
medline: 27 5 2023
pubmed: 27 5 2023
entrez: 27 5 2023
Statut: epublish

Résumé

There has not been extensive research into crossed cerebellar diaschisis (CCD) in neurodegenerative disorders. CCD is frequently detected using positron emission tomography (PET). However, advanced MRI techniques have come forth for the detection of CCD. The correct diagnosis of CCD is crucial for the care of neurological patients and those with neurodegenerative conditions. The purpose of this study is to determine whether PET can offer extra value over MRI or an advanced technique in MRI for detecting CCD in neurological conditions. We searched three main electronic databases from 1980 until the present and included only English and peer-reviewed journal articles. Eight articles involving 1246 participants met the inclusion criteria, six of which used PET imaging while the other two used MRI and hybrid imaging. The findings in PET studies showed decreased cerebral metabolism in the frontal, parietal, temporal, and occipital cortices, as on the opposite side of the cerebellar cortex. However, the findings in MRI studies showed decreased cerebellar volumes. This study concludes that PET is a common, accurate, and sensitive technique for detecting both crossed cerebellar and uncrossed basal ganglia as well as thalamic diaschisis in neurodegenerative diseases, while MRI is better for measuring brain volume. This study suggests that PET has a higher diagnostic value for diagnosing CCD compared to MRI, and that PET is a more valuable technique for predicting CCD.

Identifiants

pubmed: 37238158
pii: diagnostics13101674
doi: 10.3390/diagnostics13101674
pmc: PMC10216953
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

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Auteurs

Shailendra Mohan Tripathi (SM)

Department of Geriatric Mental Health, King George's Medical University, Lucknow 226003, India.

Naif Ali Majrashi (NA)

Diagnostic Radiography Technology (DRT) Department, Faculty of Applied Medical Sciences, Jazan University, Jazan 85145, Saudi Arabia.

Ali S Alyami (AS)

Diagnostic Radiography Technology (DRT) Department, Faculty of Applied Medical Sciences, Jazan University, Jazan 85145, Saudi Arabia.

Wael A Ageeli (WA)

Diagnostic Radiography Technology (DRT) Department, Faculty of Applied Medical Sciences, Jazan University, Jazan 85145, Saudi Arabia.

Turkey A Refaee (TA)

Diagnostic Radiography Technology (DRT) Department, Faculty of Applied Medical Sciences, Jazan University, Jazan 85145, Saudi Arabia.

Classifications MeSH