A decision tree for differentiating multiple system atrophy from Parkinson's disease using 3-T MR imaging

Nair, S.R. and Tan, L.K. and Ramli, Norlisah and Lim, S.Y. and Rahmat, K. and Nor, H.M. (2013) A decision tree for differentiating multiple system atrophy from Parkinson's disease using 3-T MR imaging. European Radiology, 23 (6). pp. 1459-1466. ISSN 0938-7994,

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Official URL: http://www.ncbi.nlm.nih.gov/pubmed/23300042


To develop a decision tree based on standard magnetic resonance imaging (MRI) and diffusion tensor imaging to differentiate multiple system atrophy (MSA) from Parkinson's disease (PD). 3-T brain MRI and DTI (diffusion tensor imaging) were performed on 26 PD and 13 MSA patients. Regions of interest (ROIs) were the putamen, substantia nigra, pons, middle cerebellar peduncles (MCP) and cerebellum. Linear, volumetry and DTI (fractional anisotropy and mean diffusivity) were measured. A three-node decision tree was formulated, with design goals being 100 specificity at node 1, 100 sensitivity at node 2 and highest combined sensitivity and specificity at node 3. Nine parameters (mean width, fractional anisotropy (FA) and mean diffusivity (MD) of MCP; anteroposterior diameter of pons; cerebellar FA and volume; pons and mean putamen volume; mean FA substantia nigra compacta-rostral) showed statistically significant (P < 0.05) differences between MSA and PD with mean MCP width, anteroposterior diameter of pons and mean FA MCP chosen for the decision tree. Threshold values were 14.6 mm, 21.8 mm and 0.55, respectively. Overall performance of the decision tree was 92 sensitivity, 96 specificity, 92 PPV and 96 NPV. Twelve out of 13 MSA patients were accurately classified. Formation of the decision tree using these parameters was both descriptive and predictive in differentiating between MSA and PD. aEuro cent Parkinson's disease and multiple system atrophy can be distinguished on MR imaging. aEuro cent Combined conventional MRI and diffusion tensor imaging improves the accuracy of diagnosis. aEuro cent A decision tree is descriptive and predictive in differentiating between clinical entities. aEuro cent A decision tree can reliably differentiate Parkinson's disease from multiple system atrophy.

Item Type: Article
Additional Information: ISI Document Delivery No.: 148TP Times Cited: 2 Cited Reference Count: 23 Nair, Shalini Rajandran Tan, Li Kuo Ramli, Norlisah Mohd Lim, Shen Yang Rahmat, Kartini Nor, Hazman Mohd University of Malaya RG170/09HTM, J-20518-73808 This study and the article preparation were partly funded with the assistance from a University of Malaya Research Grant and High Impact Research Grants (RG170/09HTM and J-20518-73808). Springer New york
Uncontrolled Keywords: Multiple system atrophy, Parkinson's disease, Magnetic resonance, imaging, Diffusion tensor imaging, Decision tree, progressive supranuclear palsy, diffusion tensor mri, diagnosis, variant, disorders, volumetry, msa
Subjects: R Medicine
Divisions: Faculty of Medicine
Depositing User: Ms azrahani halim
Date Deposited: 04 Nov 2014 01:53
Last Modified: 14 Feb 2019 01:03
URI: http://eprints.um.edu.my/id/eprint/11216

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