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A rupture risk analysis of cerebral cavernous malformation associated with developmental venous anomaly using susceptibility-weighted imaging.

Shuo ZhangLi MaChunxue WuJun WuYong CaoShuo WangJi-Zong Zhao
Published in: Neuroradiology (2019)
The classification based on the relationship between CCM and DVA may be meaningful to predict the risk of lesion rupture and CCM lesions next to DVA distal branches showed a higher risk of rupture.
Keyphrases
  • high resolution
  • machine learning
  • deep learning
  • magnetic resonance
  • subarachnoid hemorrhage
  • minimally invasive
  • computed tomography
  • magnetic resonance imaging
  • network analysis
  • brain injury
  • fluorescence imaging