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Abstract #3788

3D texture analyses of quantitative susceptibility maps to differentiate patients with Wilson’s disease from healthy controls

Gaiying Li1, Rong Wu2, Yasong Du3, Yang Song4, Yi Wang5, Xiaoping Wang2, and Jianqi Li1
1Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, China, 2Department of Neurology, Shanghai Tong-Ren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 4MR Scientific Marketing, Siemens Healthineers, Shanghai, China, 5Department of Radiology, Weill Medical College of Cornell University, New York, NY, United States


Abnormal metal accumulation in deep gray matter (DGM) nuclei of patients with Wilson’s disease (WD) could be detected using quantitative susceptibility mapping (QSM), yet no study has quantitatively evaluated how the textures of susceptibility maps might evolve with WD. The aim of this study was to evaluate texture features extracted from susceptibility maps of DGM nuclei for differentiating WD from healthy controls (HC). The results showed that part of the texture parameters was significantly different between WD and HC, meanwhile the receiver operating characteristic curve revealed that some second-order texture parameters were more suitable and sensitive for diagnosis of WD.

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