Login / Signup

Image-derived Metrics Quantifying Hemodynamic Instability Predicted Growth of Unruptured Intracranial Aneurysms.

Hong-Ho YangJames SayreHuy DinhKambiz NaelGeoffrey ColbyAnthony WangPablo VillablancaNoriko SalamonAichi Chien
Published in: Stroke (Hoboken, N.J.) (2022)
Our results showed that high degree of hemodynamic variations within IAs is linked to growth, even after controlling for morphological parameters. Further, evaluation of PI in conjunction with WSSPI yielded a highly accurate predictive model of IA growth. Upon validation in future cohorts, these metrics may aid in early identification of IA growth and current understanding of IA remodeling mechanism.
Keyphrases
  • machine learning
  • high resolution
  • deep learning
  • current status