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Glia Imaging Differentiates Multiple System Atrophy from Parkinson's Disease: A Positron Emission Tomography Study with [ <scp> 11 C </scp> ] <scp>PBR28</scp> and Machine Learning Analysis
- Source :
- Movement Disorders. 37:119-129
- Publication Year :
- 2021
- Publisher :
- Wiley, 2021.
-
Abstract
- Background The clinical diagnosis of multiple system atrophy (MSA) is challenged by overlapping features with Parkinson's disease (PD) and late-onset ataxias. Additional biomarkers are needed to confirm MSA and to advance the understanding of pathophysiology. Positron emission tomography (PET) imaging of the translocator protein (TSPO), expressed by glia cells, has shown elevations in MSA. Objective In this multicenter PET study, we assess the performance of TSPO imaging as a diagnostic marker for MSA. Methods We analyzed [11 C]PBR28 binding to TSPO using imaging data of 66 patients with MSA and 24 patients with PD. Group comparisons were based on regional analysis of parametric images. The diagnostic readout included visual reading of PET images against clinical diagnosis and machine learning analyses. Sensitivity, specificity, and receiver operating curves were used to discriminate MSA from PD and cerebellar from parkinsonian variant MSA. Results We observed a conspicuous pattern of elevated regional [11 C]PBR28 binding to TSPO in MSA as compared with PD, with "hotspots" in the lentiform nucleus and cerebellar white matter. Visual reading discriminated MSA from PD with 100% specificity and 83% sensitivity. The machine learning approach improved sensitivity to 96%. We identified MSA subtype-specific TSPO binding patterns. Conclusions We found a pattern of significantly increased regional glial TSPO binding in patients with MSA. Intriguingly, our data are in line with severe neuroinflammation in MSA. Glia imaging may have potential to support clinical MSA diagnosis and patient stratification in clinical trials on novel drug therapies for an α-synucleinopathy that remains strikingly incurable. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
- Subjects :
- Parkinson's disease
Movement disorders
Lentiform nucleus
Machine learning
computer.software_genre
Atrophy
stomatognathic system
parasitic diseases
mental disorders
medicine
Translocator protein
Neuroinflammation
medicine.diagnostic_test
biology
business.industry
medicine.disease
nervous system diseases
nervous system
Neurology
Positron emission tomography
Clinical diagnosis
biology.protein
Neurology (clinical)
Artificial intelligence
medicine.symptom
business
computer
Subjects
Details
- ISSN :
- 15318257 and 08853185
- Volume :
- 37
- Database :
- OpenAIRE
- Journal :
- Movement Disorders
- Accession number :
- edsair.doi...........3d24b78531fe35aba13c0a6db706c4f1