Modelling in congenital heart disease. Art or science?

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.

journal_name

Int J Cardiol

authors

Giannakoulas G,Dimopoulos K,Xu XY

doi

10.1016/j.ijcard.2008.10.039

subject

Has Abstract

pub_date

2009-04-03 00:00:00

pages

141-4

issue

2

eissn

0167-5273

issn

1874-1754

pii

S0167-5273(08)01114-5

journal_volume

133

pub_type

社论
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    pub_type: 临床试验,杂志文章,随机对照试验

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    更新日期:1999-12-15 00:00:00

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    authors: Grubb BP,Temesy-Armos P,Hahn H,Elliott L

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    authors: Ohmoto Y,Ikari Y,Hara K

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