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A ventriculomegaly feature computational pipeline to improve the screening of normal pressure hydrocephalus on CT.

Sharada Kadaba SridharRui KuangJen Dysterheft RobbUzma Samadani
Published in: Journal of neurosurgery (2024)
Including the novel MaxEccLV, this framework computes useful features of ventriculomegaly, which had not previously been algorithmically assessed on NCCT. This framework successfully classified possible and definite NPH from HC, AD, and PTE. Following validation on larger representative cohorts, this objective and accessible tool may aid in screening for NPH and differentiating it from symptomatic mimics such as AD and PTE.
Keyphrases
  • contrast enhanced
  • machine learning
  • subarachnoid hemorrhage
  • deep learning
  • cerebrospinal fluid
  • image quality
  • magnetic resonance
  • positron emission tomography