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Related Experiment Video

Updated: Feb 5, 2026

Microsurgical Clip Obliteration of Middle Cerebral Aneurysm Using Intraoperative Flow Assessment
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Computational Fluid Dynamics Analysis and Correlation with Intraoperative Aneurysm Features.

Alberto Feletti1,2, Xiangdong Wang3, Sandeep Talari3

  • 1Department of Neurosciences, Neurosurgery Unit, NOCSAE Modena Hospital, Modena, Italy. alberto.feletti@gmail.com.

Acta Neurochirurgica. Supplement
|September 2, 2018
PubMed
Summary
This summary is machine-generated.

Computational fluid dynamics (CFD) analysis reveals low wall shear stress (WSS) alone doesn't predict aneurysm wall thickness. Combining WSS with pressure and flow patterns helps differentiate rupture-prone areas from atherosclerotic ones.

Keywords:
AneurysmComputational fluid dynamics (CFD)IntraoperativePressureStreamlinesWall shear stress (WSS)

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Fluid Dynamics

Background:

  • Controversies exist regarding computational fluid dynamics (CFD) in aneurysm development and rupture.
  • Intraoperative visual findings are crucial for understanding aneurysm wall characteristics.

Purpose of the Study:

  • To analyze CFD data in patients undergoing aneurysm clipping.
  • To correlate CFD findings with intraoperative visual assessments of aneurysm walls.

Main Methods:

  • Used Hemoscope software to process images from 17 patients with 18 aneurysms.
  • Assessed pressure (P), wall shear stress (WSS) gradient/vectors, normalized WSS, and streamlines (SL) direction/velocity.
  • Compared CFD data with intraoperative visual findings across 39 aneurysm wall areas.

Main Results:

  • Low WSS correlated with thin, red aneurysm walls.
  • Low WSS combined with high P, diverging WSS vectors, and high SL velocity matched yellow, atherosclerotic walls.

Conclusions:

  • Low WSS is insufficient to determine aneurysm wall thickness.
  • Combining WSS with P and flow parameters can preoperatively distinguish atherosclerotic from thin, high-risk areas.
  • Dynamic changes in these parameters influence aneurysm features and rupture risk over time.