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Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)-phase II: rupture risk assessment.

Philipp Berg1, Samuel Voß2, Gábor Janiga2

  • 1University of Magdeburg, Magdeburg, Germany. berg@ovgu.de.

International Journal of Computer Assisted Radiology and Surgery
|May 5, 2019
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Summary

Predicting intracranial aneurysm rupture is difficult. The MATCH challenge showed that combining clinical data with advanced hemodynamic simulations improves rupture risk assessment for intracranial aneurysms (IAs).

Keywords:
Hemodynamic simulationInternational challengeIntracranial aneurysmRupture risk

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Computational Fluid Dynamics

Background:

  • Assessing intracranial aneurysm (IA) rupture probability is clinically challenging.
  • Hemodynamic simulations are increasingly used for IA treatment planning but face limited clinical acceptance due to assumptions.
  • The Multiple Aneurysms AnaTomy CHallenge (MATCH) aimed to evaluate state-of-the-art simulation methods.

Purpose of the Study:

  • To compare different blood flow simulation approaches for assessing IA rupture risk.
  • To identify key parameters and methodologies for improving the accuracy of rupture probability predictions.
  • To evaluate the clinical applicability of advanced hemodynamic simulations.

Main Methods:

  • Seventeen international research groups performed image-based segmentation and hemodynamic simulations on a patient with five IAs.
  • Participants analyzed aneurysm morphology and blood flow characteristics to predict the ruptured aneurysm.
  • Commonly analyzed parameters included aspect ratio and wall shear stress.

Main Results:

  • The majority of groups (71%) considered morphological and hemodynamic parameters.
  • Only 24% of groups correctly identified the ruptured aneurysm; 18% ranked it second.
  • Successful predictions integrated clinical information (e.g., aneurysm site) and multivariate analyses of hemodynamic factors (e.g., inflow jets, vortices).

Conclusions:

  • The MATCH challenge demonstrated the capabilities and limitations of current blood flow simulation techniques for IA rupture risk assessment.
  • Accurate IA rupture prediction requires multivariate analysis, combining clinical metadata with advanced morphological and hemodynamic quantification.
  • This highlights the need for integrated approaches for improved clinical decision-making in IA management.