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Update on neuroimaging for categorization of Parkinson's disease and atypical parkinsonism
- Source :
- Current Opinion in Neurology. 34:514-524
- Publication Year :
- 2021
- Publisher :
- Ovid Technologies (Wolters Kluwer Health), 2021.
-
Abstract
- Purpose of review Differential diagnosis of Parkinsonism may be difficult. The objective of this review is to present the work of the last three years in the field of imaging for diagnostic categorization of parkinsonian syndromes focusing on progressive supranuclear palsy (PSP) and multiple system atrophy (MSA). Recent findings Two main complementary approaches are being pursued. The first seeks to develop and validate manual qualitative or semi-quantitative imaging markers that can be easily used in clinical practice. The second is based on quantitative measurements of magnetic resonance imaging abnormalities integrated in a multimodal approach and in automatic categorization machine learning tools. Summary These two complementary approaches obtained high diagnostic around 90% and above in the classical Richardson form of PSP and probable MSA. Future work will determine if these techniques can improve diagnosis in other PSP variants and early forms of the diseases when all clinical criteria are not fully met.
- Subjects :
- medicine.medical_specialty
Parkinson's disease
Neuroimaging
Progressive supranuclear palsy
Diagnosis, Differential
Physical medicine and rehabilitation
Parkinsonian Disorders
medicine
Humans
medicine.diagnostic_test
business.industry
Parkinsonism
Parkinson Disease
Magnetic resonance imaging
Multiple System Atrophy
medicine.disease
Magnetic Resonance Imaging
eye diseases
Neurology
Categorization
Atypical Parkinsonism
Supranuclear Palsy, Progressive
Neurology (clinical)
Differential diagnosis
business
Subjects
Details
- ISSN :
- 14736551 and 13507540
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- Current Opinion in Neurology
- Accession number :
- edsair.doi.dedup.....4696e7b4f6bc506cc00cd1b54857cbe9
- Full Text :
- https://doi.org/10.1097/wco.0000000000000957