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Abstract #3671

Differentiating Predominant Gait Disorder Parkinsonism Using Automated Geometric Indices

Ling Yun Yeow1, Bhanu Prakash KN1, AJY Lee2, EK Tan3,4, and LL Chan2,4
1Signal Image Processing Group, Singapore BioImaging Consortium, A*STAR, Singapore, Singapore, 2Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore, 3National Neuroscience Institute – SGH Campus, Singapore, Singapore, 4Duke-NUS Medical School, Singapore, Singapore, Singapore

Gait apraxia has attributed to ventriculomegaly and periventricular leukoariaosis. Geometric quantification of ventriculomegaly using Evans’ Index (EI) and Callosal Angle (CA) have been proposed as biomarkers of normal pressure hydrocephalus (NPH). The novel Splenial Angle (SA) may aid in differentiating healthy controls (C) and Parkinson's Disease (P) patients from those with postural instability and gait difficulty (G) subtype and NPH. CA and SA are significantly lower in G patients compared to C and P while EI is significantly higher. Automation of these geometric measures is relatively accurate for EI and SA but further improvements are needed for CA.

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