Academic Journal
Integrating Uncertainty Quantification into Computational Fluid Dynamics Models of Coronary Arteries Under Steady Flow.
| Τίτλος: | Integrating Uncertainty Quantification into Computational Fluid Dynamics Models of Coronary Arteries Under Steady Flow. |
|---|---|
| Συγγραφείς: | Usman M; Department of Biomedical Engineering, Texas A&M University, College Station, 2121 W Holcombe Boulevard, Alkek Building, Houston, TX 77030.; Texas A&M University., Castillo PN; Department of Biomedical Engineering, Texas A&M University, College Station, 2121 W Holcombe Blvd., Alkek Building, Houston, TX 77030.; Texas A&M University., Narayan A; Scientific Computing and Imaging Institute, University of Utah, Department of Mathematics, University of Utah, 72 S Central Campus Drive, Salt Lake City, UT 84112.; University of Utah., Timmins LH; Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843; Department of Biomedical Engineering, University of Utah,Salt Lake City, UT 84112; Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112;Department of Biomeidcal Engineering, Texas A&M University, College Station, 2121 W Holcombe Boulevard, Alkek Building, Houston, TX 77030.; Texas A&M University. |
| Πηγή: | Journal of biomechanical engineering [J Biomech Eng] 2026 Aug 01; Vol. 148 (8). |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: American Society Of Mechanical Engineers Country of Publication: United States NLM ID: 7909584 Publication Model: Print Cited Medium: Internet ISSN: 1528-8951 (Electronic) Linking ISSN: 01480731 NLM ISO Abbreviation: J Biomech Eng Subsets: MEDLINE |
| Imprint Name(s): | Publication: New York Ny : American Society Of Mechanical Engineers Original Publication: [New York] American Society of Mechanical Engineers. |
| Ιατρικοί όροι (MeSH): | Coronary Vessels*/physiology , Hydrodynamics* , Computer Simulation* , Models, Cardiovascular*, Uncertainty ; Stress, Mechanical ; Humans ; Biomechanical Phenomena ; Shear Strength |
| Περίληψη: | Computational fluid dynamics (CFD) simulations are increasingly being integrated into clinical medicine, where they have the potential to support clinicians in disease diagnosis, prognosis, and treatment. However, these models frequently use deterministic approaches, neglecting inherent variability (or uncertainty) in input parameters, thereby undermining model credibility and limiting clinical adoption. Herein, we integrate modern and certifiable uncertainty quantification techniques to characterize and quantify the variability in coronary artery wall shear stress (WSS) under steady-flow conditions due to intrinsic uncertainty in model-dependent quantities. Univariate probability distributions were fitted to hemodynamic parameters (density, pressure, radius, velocity, and viscosity), and sampled parameter ensembles were applied to an analytical solution (Poiseuille flow) and a patient-specific coronary artery model. Results from the analytical solution demonstrated that variability in input parameters propagated into uncertainty in WSS values, with uncertainty in velocity accounting for the majority (∼81%) of WSS variability. In the patient-specific model, spatial medians in WSS varied by ∼50% due to input parameter uncertainties, with viscosity (∼59%) and velocity (∼40%) emerging as the dominant contributors to WSS variability. Across each use case, unary interactions dominated (i.e., first-order Sobol indices accounted for the majority of the variance), contributing to ∼93% and ∼99% of the total WSS variance in the analytical and patient-specific model, respectively. Collectively, this study establishes an uncertainty-aware framework to strengthen computational biomechanics model credibility, aligning with emerging regulatory guidance and enabling more trustworthy modeling-based decision support in the management of coronary artery disease. (Copyright © 2026 by ASME.) |
| Grant Information: | R01 HL150608 United States HL NHLBI NIH HHS; U24 EB029012 United States EB NIBIB NIH HHS; R01 HL-150608, U24 ED-029012 United States NH NIH HHS |
| Contributed Indexing: | Keywords: FEBio software suite; UncertainSCI; biomechanics; coronary artery disease; patient-specific modeling; vascular mechanics |
| Entry Date(s): | Date Created: 20260428 Date Completed: 20260603 Latest Revision: 20260802 |
| Update Code: | 20260802 |
| PubMed Central ID: | PMC13200213 |
| DOI: | 10.1115/1.4071773 |
| PMID: | 42047251 |
| Βάση Δεδομένων: | MEDLINE |
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