Research Article
Differential Diagnosis Tool for Parkinsonian Syndrome Using Multiple Structural Brain Measures
Table 4
Classification results.
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Predicted group membership | | | | MSA-C | MSA-P | PD | Control | Total |
| Stepwise method (88.9% of original grouped cases correctly classified) |
| Original data | Count | MSA-C | 15 | 0 | 0 | 3 | 18 | MSA-P | 0 | 9 | 3 | 0 | 12 | PD | 0 | 2 | 19 | 0 | 21 | Control | 0 | 0 | 0 | 21 | 21 | % | MSA-C | 83.3 | 0 | 0 | 16.7 | 100 | MSA-P | 0 | 75.0 | 25.0 | 0 | 100 | PD | 0 | 9.5 | 90.5 | 0 | 100 | Control | 0.0 | 0 | 0 | 100.0 | 100 |
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Two independent variables (84.7% of original grouped cases correctly classified) |
| Original data | Count | MSA-C | 15 | 0 | 0 | 3 | 18 | MSA-P | 0 | 10 | 2 | 0 | 12 | PD | 0 | 4 | 17 | 0 | 21 | Control | 1 | 1 | 0 | 19 | 21 | % | MSA-C | 83.3 | 0.0 | 0 | 16.7 | 100 | MSA-P | 0 | 83.3 | 16.7 | 0 | 100 | PD | 0 | 19.0 | 81.0 | 0 | 100 | Control | 4.8 | 4.8 | 0.0 | 90.5 | 100 |
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Three independent variables (88.9% of original grouped cases correctly classified) |
| Original data | Count | MSA-C | 14 | 0 | 0 | 4 | 18 | MSA-P | 0 | 10 | 2 | 0 | 12 | PD | 0 | 1 | 20 | 0 | 21 | Control | 0 | 1 | 0 | 20 | 21 | % | MSA-C | 77.8 | 0.0 | 0 | 22.2 | 100 | MSA-P | 0 | 83.3 | 16.7 | 0 | 100 | PD | 0 | 4.8 | 95.2 | 0 | 100 | Control | 0.0 | 4.8 | 0.0 | 95.2 | 100 |
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MSA-C: cerebellar form of multiple system atrophy; MSA-P: parkinsonism forms of multiple system atrophy; PD: Parkinson’s disease.
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