Clinical Trial Journal Article Ppublish 26 citations
PubMed: 32372365 DOI: 10.1007/s10439-020-02527-8
Non-Newtonian Effects on Patient-Specific Modeling of Fontan Hemodynamics.
Ann Biomed Eng 48(8):2204-2217
Authors: Zhenglun Wei, Shelly Singh-Gryzbon, Phillip M Trusty, Connor Huddleston, Yingnan Zhang, Mark A Fogel, Alessandro Veneziani, Ajit P Yoganathan
Affiliations
- Wallace H. Coulter School of Biomedical Engineering, Georgia Institute of Technology, 313 Ferst Drive NW, Atlanta, GA, 30332, USA.
- School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, USA.
- Department of Cardiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Department of Mathematics and Computer Science, Emory, Atlanta, GA, USA.
- Wallace H. Coulter School of Biomedical Engineering, Georgia Institute of Technology, 313 Ferst Drive NW, Atlanta, GA, 30332, USA.
Abstract
The Fontan procedure is a common palliative surgery for congenital single ventricle patients. In silico and in vitro patient-specific modeling approaches are widely utilized to investigate potential improvements of Fontan hemodynamics that are related to long-term complications. However, there is a lack of consensus regarding the use of non-Newtonian rheology, warranting a systematic investigation. This study conducted in silico patient-specific modeling for twelve Fontan patients, using a Newtonian and a non-Newtonian model for each patient. Differences were quantified by examining clinically relevant metrics: indexed power loss (iPL), indexed viscous dissipation rate (iVDR), hepatic flow distribution (HFD), and regions of low wall shear stress (A). Four sets of "non-Newtonian importance factors" were calculated to explore their effectiveness in identifying the non-Newtonian effect. No statistical differences were observed in iPL, iVDR, and HFD between the two models at the population-level, but large inter-patient variations exist. Significant differences were detected regarding A, and its correlations with non-Newtonian importance factors were discussed. Additionally, simulations using the non-Newtonian model were computationally faster than those using the Newtonian model. These findings distinguish good importance factors for identifying non-Newtonian rheology and encourage the use of a non-Newtonian model to assess Fontan hemodynamics.
MeSH
Hemodynamics, Biomedical Engineering, Rheology, Patient-Specific Modeling
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