ArticleCardiovascular engineering and technology2021
Predictive Model for Thrombus Formation After Transcatheter Valve Replacement.
Article in Cardiovascular engineering and technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 30 citations in OpenAlex.
- Evolving capabilities of computed tomography imaging for transcatheter valvular heart interventions - new opportunities for precision medicine.The international journal of cardiovascular imaging · 2026Review
- Understanding the mechanisms of TAVI durability through computational modelling: a multidisciplinary review.European heart journal. Digital health · 2026Review
- Predicting procedural outcomes in transcatheter aortic valve implantation: a scoping review of numerical patient-specific simulations.Progress in biomedical engineering (Bristol, England) · 2025Article
- Sensitivity of Left Atrial Flow Dynamics to Echocardiographic and Computed Tomography Data.Journal of cardiovascular translational research · 2025Article
- A novel computational method to predict hypoattenuated leaflet thickening post-transcatheter aortic valve replacement using preprocedural computed tomography scans.JTCVS structural and endovascular · 2025Article
- Analysis of Energy and Pressure in the Sinus with Different Blood Pressures after Bioprosthetic Aortic Valve Replacement.Annals of biomedical engineering · 2024Article
- Effect of Sinotubular Junction Size on TAVR Leaflet Thrombosis: A Fluid-Structure Interaction Analysis.Annals of biomedical engineering · 2024Article
- Effect of Ascending Aortic Curvature on Flow in the Sinus and Neo-sinus Following TAVR: A Patient-Specific Study.Annals of biomedical engineering · 2024Article
- Decoding thrombosis through code: a review of computational models.Journal of thrombosis and haemostasis : JTH · 2024Review
- The Current Landscape of Artificial Intelligence in Imaging for Transcatheter Aortic Valve Replacement.Current radiology reports · 2024Article
- A model of fluid-structure and biochemical interactions for applications to subclinical leaflet thrombosis.International journal for numerical methods in biomedical engineering · 2023Article
- The impact of local blood residence time in neo-sinus on post transcatheter aortic valve replacement subclinical leaflet thrombosis-a commentary.Interdisciplinary cardiovascular and thoracic surgery · 2023Article
- Long-term prognostic impact of paravalvular leakage on coronary artery disease requires patient-specific quantification of hemodynamics.Scientific reports · 2022Article
- Biomechanics of Transcatheter Aortic Valve Replacement Complications and Computational Predictive Modeling.Structural heart : the journal of the Heart Team · 2022Review
Corrections and comments
- Erratum issued
Authors and funding
9 authors at 4 institutions in 4 countries.
Funding
Abstract
purposeLeaflet thrombosis is a significant adverse event after transcatheter aortic valve (TAV) replacement (TAVR). The purpose of our study was to present a semi-empirical, mathematical model that links patient-specific anatomic, valve, and flow parameters to predict likelihood of leaflet thrombosis.
methodsThe two main energy sources of neo-sinus (NS) washout after TAVR include the jet flow downstream of the TAV and NS geometric change in volume due to the leaflets opening and closing. Both are highly dependent on patient anatomic and hemodynamic factors. As rotation of blood flow is prevalent in both the sinus of Valsalva and then the NS, we adopted the vorticity flux or circulation (Г) as a metric quantifying overall washout. Leaflet thrombus volumes were segmented based on hypo-attenuating leaflet thickening (HALT) in post-TAVR patient's gated computed tomography. Г was assessed using dimensional scaling as well as computational fluid dynamics (CFD) respectively and correlated to the thrombosis volumes using sensitivity and specificity analysis.
resultsГ in the NS, that accounted for patient flow and anatomic conditions derived from scaling arguments significantly better predicted the occurrence of leaflet thrombus than CFD derived measures such as stasis volumes or wall shear stress. Given results from the six patient datasets considered herein, a threshold Г value of 28.0 yielded a sensitivity and specificity of 100% where patients with Gamma < 28 developed valve thrombosis. A 10% error in measurements of all variables can bring the sensitivity specificity down to 87%.
conclusionA predictive model relating likelihood of valve thrombosis using Г in the NS was developed with promising sensitivity and specificity. With further studies and improvements, this predictive technology may lead to alerting physicians on the risk for thrombus formation following TAVR.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.