MR planimetry in neurodegenerative parkinsonism yields high diagnostic accuracy for PSP
Year: 2017
Type: article
Study design: Observational Study
Abstract: INTRODUCTION: Several previous studies examined different brainstem-derived MR planimetric measures with regards to their diagnostic accuracy in separating patients with neurodegenerative parkinsonian disorders and reported conflicting results. The current study aimed to compare their performance in a well-characterized sample of patients with neurodegenerative parkinsonian disorders. METHODS: MR planimetric measurements were assessed in a large retrospective cohort of 55 progressive supranuclear palsy (PSP), 194 Parkinson's disease (PD) and 63 multiple system atrophy (MSA) patients. This cohort served as a training set used to build C4.5 decision tree models to discriminate PSP, PD and MSA. The models were validated in two independent test sets. The first test set comprised 84 patients with early, clinically unclassifiable parkinsonism (CUP). A prospective cohort of patients with PSP (n = 23), PD (n = 40) and MSA (n = 22) was exploited as a second test-set. RESULTS: The pons-to-midbrain diameter ratio, the midbrain diameter, the middle cerebellar peduncle width and the pons area were identified as the most predictive parameters to separate PSP, MSA and PD in C4.5 decision tree models derived from the training set. Using these decision models, AUCs in discriminating PSP, MSA and PD were 0.90, 0.57 and 0.73 in the CUP-cohort and 0.95, 0.61 and 0.87 in the prospective cohort, respectively. CONCLUSION: We were able to demonstrate that brainstem-derived MR planimetric measures yield high diagnostic accuracy for the discrimination of PSP from related disorders when decision tree algorithms are applied, even at early, clinically uncertain stages. However, their diagnostic accuracy in discriminating PD and MSA was suboptimal.
Source: Parkinsonism & Related Disorders
Institutions: Innsbruck Medical University, Universität Innsbruck
Language: English
Subfield: Clinical Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,482
Funders: Bracco Group, Michael J. Fox Foundation for Parkinson's Research, AstraZeneca, Roche, Medtronic, Biogen, Teva Pharmaceutical Industries, AbbVie, International Parkinson and Movement Disorder Society, Boston Scientific Corporation, UCB, Multiple System Atrophy Coalition, Austrian Science Fund, Oesterreichische Nationalbank, Merz Pharmaceuticals, H. Lundbeck A/S, Ipsen, AOP Orphan, Allergan, Oxford University Press
Awards: G2752783295, G3183796791, G3323586655
OpenAlex ID: W2765583473