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Clinical Neuroradiology
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Open Access 30-01-2024 | Parkinson Disease | Original Article

Complemental Value of Microstructural and Macrostructural MRI in the Discrimination of Neurodegenerative Parkinson Syndromes

Authors: Nils Schröter, Philipp G. Arnold, Jonas A Hosp, Marco Reisert, Michel Rijntjes, Elias Kellner, Wolfgang H. Jost, Cornelius Weiller, Horst Urbach, Alexander Rau

Published in: Clinical Neuroradiology | Issue 2/2024

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Abstract

Purpose

Various MRI-based techniques were tested for the differentiation of neurodegenerative Parkinson syndromes (NPS); the value of these techniques in direct comparison and combination is uncertain. We thus compared the diagnostic performance of macrostructural, single compartmental, and multicompartmental MRI in the differentiation of NPS.

Methods

We retrospectively included patients with NPS, including 136 Parkinson’s disease (PD), 41 multiple system atrophy (MSA) and 32 progressive supranuclear palsy (PSP) and 27 healthy controls (HC). Macrostructural tissue probability values (TPV) were obtained by CAT12. The microstructure was assessed using a mesoscopic approach by diffusion tensor imaging (DTI), neurite orientation dispersion and density imaging (NODDI), and diffusion microstructure imaging (DMI). After an atlas-based read-out, a linear support vector machine (SVM) was trained on a training set (n = 196) and validated in an independent test cohort (n = 40). The diagnostic performance of the SVM was compared for different inputs individually and in combination.

Results

Regarding the inputs separately, we observed the best diagnostic performance for DMI. Overall, the combination of DMI and TPV performed best and correctly classified 88% of the patients. The corresponding area under the receiver operating characteristic curve was 0.87 for HC, 0.97 for PD, 1.0 for MSA, and 0.99 for PSP.

Conclusion

We were able to demonstrate that (1) MRI parameters that approximate the microstructure provided substantial added value over conventional macrostructural imaging, (2) multicompartmental biophysically motivated models performed better than the single compartmental DTI and (3) combining macrostructural and microstructural information classified NPS and HC with satisfactory performance, thus suggesting a complementary value of both approaches.
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Metadata
Title
Complemental Value of Microstructural and Macrostructural MRI in the Discrimination of Neurodegenerative Parkinson Syndromes
Authors
Nils Schröter
Philipp G. Arnold
Jonas A Hosp
Marco Reisert
Michel Rijntjes
Elias Kellner
Wolfgang H. Jost
Cornelius Weiller
Horst Urbach
Alexander Rau
Publication date
30-01-2024
Publisher
Springer Berlin Heidelberg
Published in
Clinical Neuroradiology / Issue 2/2024
Print ISSN: 1869-1439
Electronic ISSN: 1869-1447
DOI
https://doi.org/10.1007/s00062-023-01377-w

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