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Abstract #3644

Posterior fossa radiomics based diagnosis of Essential tremor from T1-weighted MRI

Archith Rajan1, Shweta Prasad2, Priyanka Tupe Waghmare1,3, Jitender Saini4, Pramod Kumar Pal5, and Madhura Ingalhalikar1
1Symbiosis Centre for Medical Image Analysis, Symbiosis International University, Lavale, Mulshi, Pune, India, 2Department of Clinical Neurosciences and Neurology, National Institute of Mental Health & Neurosciences, Bangalore, India, Bengaluru, India, 3Symbiosis Institute of Technology, Symbiosis International University, Lavale, Mulshi, Pune, India, 4Department of Neuroimaging & Interventional Radiology, National Institute of Mental Health & Neurosciences, Bangalore, India, Bengaluru, India, 5Department of Neurology, National Institute of Mental Health & Neurosciences, Bangalore, India, Bengaluru, India

Synopsis

The cerebellum and its connections (cerebellar peduncles) have been implicated to play a significant role in the pathogenesis of essential tremor (ET). However, these abnormalities may not be grossly evident on basic structural imaging. To this end, we employ radiomics on 3D-T1 weighted images to capture subtle features of pathology and use it in a machine learning framework to deliniate patients with ET. We demonstrate a test accuracy of 83% with radiomics features from dentate nucleus contributing the most, followed by the right V. It thus suggests the potential utility of radiomics features from these structures for diagnosis of ET.

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