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Neuroimage Clin. 2016 May 30;11:736-742. doi: 10.1016/j.nicl.2016.05.016. eCollection 2016.

Accuracy of MR markers for differentiating Progressive Supranuclear Palsy from Parkinson's disease.

Author information

1
Functional MR Unit, Policlinico S. Orsola - Malpighi, Bologna, Italy; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
2
Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy; IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.
3
Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy; Unit of Hygiene and Biostatistics, University of Bologna, Italy.
4
Neurology Unit, Policlinico S. Orsola - Malpighi, Bologna, Italy.
5
Neurology Unit, Ospedale "S. Maria della Scaletta", Imola (BO), Italy.
6
Functional MR Unit, Policlinico S. Orsola - Malpighi, Bologna, Italy; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy. Electronic address: raffaele.lodi@unibo.it.

Abstract

BACKGROUND:

Advanced brain MR techniques are useful tools for differentiating Progressive Supranuclear Palsy from Parkinson's disease, although time-consuming and unlikely to be used all together in routine clinical work. We aimed to compare the diagnostic accuracy of quantitative morphometric, volumetric and DTI metrics for differentiating Progressive Supranuclear Palsy-Richardson's Syndrome from Parkinson's disease.

METHODS:

23 Progressive Supranuclear Palsy-Richardson's Syndrome and 42 Parkinson's disease patients underwent a standardized 1.5T brain MR protocol comprising high-resolution T1W1 and DTI sequences. Brainstem and cerebellar peduncles morphometry, automated volumetric analysis of brain deep gray matter and DTI metric analyses of specific brain structures were carried out. We determined diagnostic accuracy, sensitivity and specificity of MR-markers with respect to the clinical diagnosis by using univariate receiver operating characteristics curve analyses. Age-adjusted multivariate receiver operating characteristics analyses were then conducted including only MR-markers with a sensitivity and specificity exceeding 80%.

RESULTS:

Morphometric markers (midbrain area, pons to midbrain area ratio and MR Parkinsonism Index), DTI parameters (infratentorial structures) and volumetric analysis (thalamus, putamen and pallidus nuclei) presented moderate to high diagnostic accuracy in discriminating Progressive Supranuclear Palsy-Richardson's Syndrome from Parkinson's disease, with midbrain area showing the highest diagnostic accuracy (99%) (mean ± standard deviation: 75.87 ± 16.95 mm(2) vs 132.45 ± 20.94 mm(2), respectively; p < 0.001).

CONCLUSION:

Although several quantitative brain MR markers provided high diagnostic accuracy in differentiating Progressive Supranuclear Palsy-Richardson's Syndrome from Parkinson's disease, the morphometric assessment of midbrain area is the best single diagnostic marker and should be routinely included in the neuroradiological work-up of parkinsonian patients.

KEYWORDS:

AUC, area under the curve; DTI; FA, Fractional Anisotropy; MCP, middle cerebellar peduncle; MD, Mean Diffusivity; MRI; MRPI, MR Parkinsonism Index; Morphometry; P/M, pons to midbrain ratio; PD, idiopathic Parkinson's disease; PSP-RS, Progressive Supranuclear Palsy-Richardson's Syndrome; Parkinson's disease; Progressive Supranuclear Palsy; ROC, receiver operating characteristics; SCP, superior cerebellar peduncle

PMID:
27330973
PMCID:
PMC4908307
DOI:
10.1016/j.nicl.2016.05.016
[Indexed for MEDLINE]
Free PMC Article

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