Abstract #4753

Using DANTE T1-SPACE and Sandwich Neuromelanin Sequences to differentiate Data-Driven Parkinson’s Disease Subtypes

Ming-Chih Kuo^1,2, Yao-Chia Shih¹, Ru-Jen Lin³, Stanley Kai-Hsiang Chen³, Yuh-Fen Wei⁴, Hui-Yu Yang³, and Joshua Oon Soon Goh⁵

¹Graduate Institute of Medicine, Yuan Ze University, Taoyuan City, Taiwan, ²Department of Medical Imaging, National Taiwan University Cancer Center, Taipei, Taiwan, ³Department of Neurology, National Taiwan University Hospital Hsinchu Branch, Hsinchu City, Taiwan, ⁴Department of Medical Imaging, National Taiwan University Hospital Hsinchu Branch, Hsinchu City, Taiwan, ⁵Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan

Synopsis

Keywords: Novel Contrast Mechanisms, Brain

Motivation: Parkinson's disease (PD) exhibits a diverse range of clinical presentations, necessitating improved subtyping methods and corresponding diagnostic MRI techniques.

Goal(s): Evaluate the diagnostic performance of two novel neuromelanin-related sequences, DANTE T1-SPACE and Sandwich NMI for novel data-driven PD subtyping.

Approach: Using a statistical data-driven method from to classify PD into three subtypes and comparing their neuromelanin-related contrast-to-noise ratio in the brainstem nuclei.

Results: Two sequences differentiated PD from healthy controls but failed to distinguish PD subtypes.

Impact: Understanding potential and limitations of novel neuromelanin-related sequences in PD subtype differentiation.

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