A study of brain MRI characteristics and clinical features in 76 cases of Wilson's disease

Wei Zhong1, Zhihua Huang2, Xiangqi Tang1

  • 1Department of Neurology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.

Insights

Brain MRI is valuable for diagnosing Wilson's disease (WD) neurological symptoms. T2-weighted MRI sequences show higher sensitivity in detecting brain lesions compared to T1 and FLAIR sequences.

Area of Science:

  • Neurology
  • Radiology
  • Medical Imaging

Background:

  • Wilson's disease (WD) is a genetic disorder causing copper accumulation.
  • Neurological symptoms are a common manifestation of WD.
  • Brain MRI plays a crucial role in assessing neurological involvement in WD.

Purpose of the Study:

  • To evaluate the diagnostic value of brain MRI in correlating neurological symptoms with clinical findings in WD patients.
  • To identify specific MRI patterns associated with different neurological manifestations of WD.

Main Methods:

  • Retrospective analysis of brain MRI scans from 76 WD patients with neurological symptoms.
  • Detailed recording of neurological symptoms, MRI features, and laboratory findings.
  • Comparison of sensitivity for different MRI sequences (T1, T2, FLAIR, DWI, SWI).

Main Results:

  • MRI abnormalities were detected in 89.5% of patients.
  • The lenticular nucleus was the most frequently affected site (75%).
  • T2-weighted sequences demonstrated higher sensitivity (89.7%) in detecting brain lesions compared to T1 and FLAIR (76.5%).
  • Brain atrophy was observed in 31.6% of patients.
  • Specific correlations were found between thalamic abnormalities and disease duration, tremor and cerebral atrophy, and ataxia with brainstem, cerebellar, and cerebral cortex lesions.

Conclusions:

  • Brain MRI is highly sensitive in detecting neurological abnormalities in Wilson's disease.
  • T2-weighted MRI sequences are superior for identifying brain lesions in WD.
  • MRI findings correlate with specific neurological symptoms and disease progression, aiding in diagnosis and management.