Priyanka Tupe Waghmare¹, Archith Rajan², Shweta Prasad³, Jitender Saini⁴, Pramod Kumar Pal⁵, and Madhura Ingalhalikar^6
1E &TC, Symbiosis Institute of Technology, Pune, India, ²Symbiosis Centre for Medical Image Analysis, Symbiosis Centre for Medical Image Analysis, Pune, India, ³Department of Clinical Neurosciences and Neurology, National Institute of Mental Health & Neurosciences, Bangalore, India, ⁴Department of Neuroimaging & Interventional Radiology, National Institute of Mental Health & Neurosciences, Bangalore, India, ⁵Department of Neurology, National Institute of Mental Health & Neurosciences, Bangalore, India, ⁶Symbiosis Center for Medical Image Analysis and Symbiosis Institute of Technology, Pune, India

This study establishes the utility of radiomics to differentiate Parkinson’s disease and atypical Parkinsonian syndromes using routine T1 weighted images.  PD and APS were classified at an accuracy of 92% using random forest classifiers.