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Patient-Specific Modelling and Parameter Optimisation to Simulate Dilated Cardiomyopathy in Children
Selim Bozkurt1,2, Waleed Paracha3, Kaushiki Bakaya3
1School of Engineering, Ulster University, Newtownabbey, UK. s.bozkurt1@ulster.ac.uk.
Insights
This study developed patient-specific lumped parameter models to simulate cardiovascular dynamics in children with dilated cardiomyopathy. The models accurately predicted hemodynamic parameters, showing potential for evaluating pediatric cardiac conditions and treatments.
Area of Science:
- Biomedical Engineering
- Cardiovascular Physiology
- Computational Biology
Background:
- Lumped parameter modeling is established for adult cardiovascular research.
- Limited patient-specific models exist for pediatric cardiac function simulation.
- Dilated cardiomyopathy in children requires accurate physiological modeling for effective management.
Purpose of the Study:
- To develop and validate a patient-specific lumped parameter model for simulating cardiovascular dynamics in pediatric patients with dilated cardiomyopathy.
- To assess the accuracy of the model in replicating key hemodynamic parameters.
Main Methods:
- Collected patient data (demographics, cardiac volumes, pressures, output) from 3 pediatric cases.
- Utilized cardiovascular magnetic resonance imaging for ventricular geometry.
- Optimized 23 model parameters using a direct search method to match clinical data.
Main Results:
- Achieved less than 10% difference between simulated and clinical hemodynamic parameters.
- Demonstrated successful patient-specific cardiovascular system modeling.
Conclusions:
- Patient-specific lumped parameter models show significant potential for simulating pediatric cardiac conditions.
- This approach enables evaluation of diverse physiological scenarios and treatment strategies in children.
- Further application in pediatric cardiology can enhance clinical decision-making and patient care.
Purpose:
Lumped parameter modelling has been widely used to simulate cardiac function and physiological scenarios in cardiovascular research. Whereas several patient-specific lumped parameter models have been reported for adults, there is a limited number of studies aiming to simulate cardiac function in children. The aim of this study is to simulate patient-specific cardiovascular dynamics in children diagnosed with dilated cardiomyopathy, using a lumped parameter model.
Methods:
Patient data including age, gender, heart rate, left and right ventricular end-systolic and end-diastolic volumes, cardiac output, systolic and diastolic aortic pressures were collected from 3 patients at Great Ormond Street Hospital for Children, London, UK. Ventricular geometrical data were additionally retrieved from cardiovascular magnetic resonance images. 23 parameters in the lumped parameter model were optimised to simulate systolic and diastolic pressures, end-systolic and end-diastolic volumes, cardiac output and left and right ventricular diameters in the patients using a direct search optimisation method.
Results:
Difference between the haemodynamic parameters in the optimised cardiovascular system models and clinical data was less than 10%.
Conclusion:
The simulation results show the potential of patient-specific lumped parameter modelling to simulate clinical cases. Modelling patient specific cardiac function and blood flow in the paediatric patients would allow us to evaluate a variety of physiological scenarios and treatment options.
