Mitchel J Colebank, Alfonso Limon, Anthony Chang, Brandon Wong, Wyman Lai, Hamilton Baker
{"title":"Mathematical simulations of paediatric haemodynamics in isolated ventricular septal defect.","authors":"Mitchel J Colebank, Alfonso Limon, Anthony Chang, Brandon Wong, Wyman Lai, Hamilton Baker","doi":"10.1098/rsif.2026.0187","DOIUrl":null,"url":null,"abstract":"<p><p>Computer modelling of the cardiovascular system has the potential to revolutionize personalized medical care. This is especially promising for congenital heart defects, such as ventricular septal defect (VSD), a hole between the two ventricles of the heart. However, relatively few studies have built computer models for VSD, nor have they considered how natural adaptation to the cardiovascular system with age might interact with the presence of a small-, medium- or large-sized VSD. Here, we combine a lumped-parameter model of the cardiovascular system with two key modelling components: a size-dependent resistance dictating shunt flow between the two ventricles and age-dependent scaling relationships for the systemic and pulmonary circulations. Our results provide insight into changes in haemodynamic conditions with various VSD sizes. We investigate the combined effects of VSD size, vascular parameters and age, showing distinct differences with these three factors. This study lays the necessary foundation for studying VSD and towards building digital shadows and digital twins for managing VSD in paediatrics.</p>","PeriodicalId":17488,"journal":{"name":"Journal of The Royal Society Interface","volume":"23 243","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Royal Society Interface","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1098/rsif.2026.0187","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Computer modelling of the cardiovascular system has the potential to revolutionize personalized medical care. This is especially promising for congenital heart defects, such as ventricular septal defect (VSD), a hole between the two ventricles of the heart. However, relatively few studies have built computer models for VSD, nor have they considered how natural adaptation to the cardiovascular system with age might interact with the presence of a small-, medium- or large-sized VSD. Here, we combine a lumped-parameter model of the cardiovascular system with two key modelling components: a size-dependent resistance dictating shunt flow between the two ventricles and age-dependent scaling relationships for the systemic and pulmonary circulations. Our results provide insight into changes in haemodynamic conditions with various VSD sizes. We investigate the combined effects of VSD size, vascular parameters and age, showing distinct differences with these three factors. This study lays the necessary foundation for studying VSD and towards building digital shadows and digital twins for managing VSD in paediatrics.
期刊介绍:
J. R. Soc. Interface welcomes articles of high quality research at the interface of the physical and life sciences. It provides a high-quality forum to publish rapidly and interact across this boundary in two main ways: J. R. Soc. Interface publishes research applying chemistry, engineering, materials science, mathematics and physics to the biological and medical sciences; it also highlights discoveries in the life sciences of relevance to the physical sciences. Both sides of the interface are considered equally and it is one of the only journals to cover this exciting new territory. J. R. Soc. Interface welcomes contributions on a diverse range of topics, including but not limited to; biocomplexity, bioengineering, bioinformatics, biomaterials, biomechanics, bionanoscience, biophysics, chemical biology, computer science (as applied to the life sciences), medical physics, synthetic biology, systems biology, theoretical biology and tissue engineering.