December 4, 2025The Journal of Cardiovascular Surgery

Computational fluid dynamics in aortic arch pathologies: current applications, challenges, and future perspectives

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ASAugusto F. SANCHESLMU Klinikum

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Implication

Review reveals enhanced risk stratification using computational fluid dynamics in aortic arch pathologies, highlighting preoperative planning and real-time simulation benefits.

Key Points

Enhanced risk stratification for aortic arch pathologies improves by integrating computational fluid dynamics into clinical workflows.
Key metrics like wall shear stress and hemodynamics are crucial in understanding disease progression and complications.
Review of current applications highlights advances in modeling strategies and necessitates high-quality imaging for effective use.
Adoption hinges on automation and machine learning, indicating a need for standardization and prospective validation in clinical settings.

Cite This Study

Augusto F. SANCHES (2025) studied this question.

synapsesocial.com/papers/6930e8b6ea1aef094cca2e88 https://doi.org/10.23736/s0021-9509.25.13494-0

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Implication

Review reveals enhanced risk stratification using computational fluid dynamics in aortic arch pathologies, highlighting preoperative planning and real-time simulation benefits.

Computational fluid dynamics in aortic arch pathologies: current applications, challenges, and future perspectives

Discussion

Member takes

Implication

Key Points

Cite This Study

Computational fluid dynamics in aortic arch pathologies: current applications, challenges, and future perspectives

Discussion

Member takes

Implication

Key Points

Cite This Study

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