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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