Abstract
Despite the advances in imaging modalities and surgical techniques, the management
of adults with congenital heart disease (ACHD) over the years has remained largely
empirical rather than evidence-based. Animal models have been difficult to develop
and very costly, while clinical trials are difficult to design and perform in ACHD,
leaving gaps in our understanding of the pathophysiology and treatment of congenital
heart disease. Disease modelling, both hypothetical and patient-specific, provides
an alternative solution to many of these problems. Advances in cardiovascular imaging
and diagnostics have led to the easy acquisition of large quantities of structural
and functional information, which cannot be handled “intuitively”. Computational modelling
introduces mathematical rigour in the analysis and utilisation of these data by quantitative
simulation and testing of clinically relevant hypotheses through experimentally validated
models. Close multidisciplinary collaboration between bioengineers and clinicians
is essential for transforming data and images derived from models of disease into
clinically useful information.
Keywords
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Article info
Publication history
Published online: December 01, 2008
Accepted:
October 25,
2008
Received:
July 31,
2008
Identification
Copyright
© 2008 Elsevier Ireland Ltd. Published by Elsevier Inc. All rights reserved.
