ArticleScientific reports2020
Towards non-invasive computational-mechanics and imaging-based diagnostic framework for personalized cardiology for coarctation.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 31 citations in OpenAlex.
- Geometric Determinants of Post-stenotic Energetics in Coarctation of Aorta: Linking Centerline Morphology to Downstream Energy Loss.Annals of biomedical engineering · 2026Article
- Applications of Computational Fluid Dynamics in Congenital Heart Disease: A Review.Journal of cardiovascular development and disease · 2025Review
- A systematic quantification of hemodynamic differences persisting after aortic coarctation repair.Frontiers in bioengineering and biotechnology · 2025Article
- Early Detection of Risk of Neo-Sinus Blood Stasis Post-Transcatheter Aortic Valve Replacement Using Personalized Hemodynamic Analysis.Structural heart : the journal of the Heart Team · 2023Article
- Latest Developments in Adapting Deep Learning for Assessing TAVR Procedures and Outcomes.Journal of clinical medicine · 2023Review
- Reducing Long-Term Mortality Post Transcatheter Aortic Valve Replacement Requires Systemic Differentiation of Patient-Specific Coronary Hemodynamics.Journal of the American Heart Association · 2023Article
- Impact of TAVR on coronary artery hemodynamics using clinical measurements and image-based patient-specific in silico modeling.Scientific reports · 2023Article
- A Doppler-exclusive non-invasive computational diagnostic framework for personalized transcatheter aortic valve replacement.Scientific reports · 2023Article
- Long-term prognostic impact of paravalvular leakage on coronary artery disease requires patient-specific quantification of hemodynamics.Scientific reports · 2022Article
- Impact of extra-anatomical bypass on coarctation fluid dynamics using patient-specific lumped parameter and Lattice Boltzmann modeling.Scientific reports · 2022Article
- Reducing Morbidity and Mortality in Patients With Coarctation Requires Systematic Differentiation of Impacts of Mixed Valvular Disease on Coarctation Hemodynamics.Journal of the American Heart Association · 2022Article
- On Left Ventricle Stroke Work Efficiency in Children with Moderate Aortic Valve Regurgitation or Moderate Aortic Valve Stenosis.Pediatric cardiology · 2022Article
- Severe early-onset manifestations of generalized arterial calcification of infancy (mimicking severe coarctation of the aorta) withFrontiers in cardiovascular medicine · 2022Article
- Effects of Choice of Medical Imaging Modalities on a Non-invasive Diagnostic and Monitoring Computational Framework for Patients With Complex Valvular, Vascular, and Ventricular Diseases Who Undergo Transcatheter Aortic Valve Replacement.Frontiers in bioengineering and biotechnology · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coarctation of the aorta (COA) is a congenital narrowing of the proximal descending aorta. Although accurate and early diagnosis of COA hinges on blood flow quantification, proper diagnostic methods for COA are still lacking because fluid-dynamics methods that can be used for accurate flow quantification are not well developed yet. Most importantly, COA and the heart interact with each other and because the heart resides in a complex vascular network that imposes boundary conditions on its function, accurate diagnosis relies on quantifications of the global hemodynamics (heart-function metrics) as well as the local hemodynamics (detailed information of the blood flow dynamics in COA). In this study, to enable the development of new non-invasive methods that can quantify local and global hemodynamics for COA diagnosis, we developed an innovative fast computational-mechanics and imaging-based framework that uses Lattice Boltzmann method and lumped-parameter modeling that only need routine non-invasive clinical patient data. We used clinical data of patients with COA to validate the proposed framework and to demonstrate its abilities to provide new diagnostic analyses not possible with conventional diagnostic methods. We validated this framework against clinical cardiac catheterization data, calculations using the conventional finite-volume method and clinical Doppler echocardiographic measurements. The diagnostic information, that the framework can provide, is vitally needed to improve clinical outcomes, to assess patient risk and to plan treatment.
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