Key result
Computational fluid dynamics (CFD) applications in cardiovascular surgery allow solving core flow modeling tasks, though current systems are limited in fully addressing thrombus formation.
Computational fluid dynamics provides significant benefits for modeling blood flow in cardiology and cardiac surgery, though limitations remain in modeling complex pathological processes like thrombosis.
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CFD aids flow modeling in surgery but cannot fully predict thrombosis; leaves open need for integrated systems before clinical translation.
The review provides the current state and benefits of the computational fluid dynamics (CFD) applications in cardiovascular surgery. The review covers the milestones of CFD and novel achievements in the development of both numerical algorithms and computational models. Basic methods of flow modeling, including immersed-boundary methods and finite-difference methods, allow solving most core tasks, even using commercially available software packages. Future research prospects of CFD are associated with detailed modeling of the pathological processes affecting functional properties of medical devices, namely thrombus formation and embolism. However, current computational and mathematical systems are limited to address fully all these processes.
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Geydarov et al. (2018) conducted a review in Cardiovascular surgery. Computational fluid dynamics (CFD) was evaluated. Computational fluid dynamics (CFD) applications in cardiovascular surgery allow solving core flow modeling tasks, though current systems are limited in fully addressing thrombus formation.
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