Key result
CFD enables non-invasive characterization of pressure and flow fields to improve understanding of CHD hemodynamics.
Why the study?
Congenital heart disease affects over one million newborns globally each year and reduces life expectancy, while computational fluid dynamics has emerged to characterize complex hemodynamics and guide surgical decision-making.
Computational fluid dynamics provides a non-invasive method to characterize complex hemodynamics in congenital heart disease, aiding in clinical decision-making and surgical planning.
Hypothesis-generating for congenital heart disease; prospective trials needed before clinical adoption.
Congenital heart disease, which affects more than one million newborns globally each year, contributes to an increased risk of cardiovascular disease and ultimately reduced life expectancy. Computational fluid dynamics (CFD) enables detailed, non-invasive characterization of complex physiological pressure and flow fields, thus improving our understanding of congenital heart disease hemodynamics. In recent years, this has driven clinical decision-making, surgical planning, and the evaluation of innovative surgical techniques. In this mini review, CFD methods applied to the study of congenital abnormalities, with a focus on the aorta and pulmonary bifurcation, are discussed. The clinical relevance and future directions of CFD modelling are also reviewed.
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Johnston et al. (2021) conducted a review in Congenital heart disease. Computational fluid dynamics was evaluated. Computational fluid dynamics enables detailed, non-invasive characterization of complex physiological pressure and flow fields to improve the understanding of congenital heart disease hemodynamics.
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