Title | Computational sensitivity investigation of hydrogel injection characteristics for myocardial support. |
Publication Type | Journal Article |
Year of Publication | 2017 |
Authors | Wang H, Rodell CB, Lee ME, Dusaj NN, Gorman JH, Burdick JA, Gorman RC, Wenk JF |
Journal | J Biomech |
Volume | 64 |
Pagination | 231-235 |
Date Published | 2017 11 07 |
ISSN | 1873-2380 |
Keywords | Animals, Biocompatible Materials, Cardiac Volume, Computer Simulation, Elastic Modulus, Finite Element Analysis, Heart Ventricles, Hydrogels, Injections, Materials Testing, Models, Cardiovascular, Myocardial Infarction |
Abstract | Biomaterial injection is a potential new therapy for augmenting ventricular mechanics after myocardial infarction (MI). Recent in vivo studies have demonstrated that hydrogel injections can mitigate the adverse remodeling due to MI. More importantly, the material properties of these injections influence the efficacy of the therapy. The goal of the current study is to explore the interrelated effects of injection stiffness and injection volume on diastolic ventricular wall stress and thickness. To achieve this, finite element models were constructed with different hydrogel injection volumes (150µL and 300 µL), where the modulus was assessed over a range of 0.1kPa to 100kPa (based on experimental measurements). The results indicate that a larger injection volume and higher stiffness reduce diastolic myofiber stress the most, by maintaining the wall thickness during loading. Interestingly, the efficacy begins to taper after the hydrogel injection stiffness reaches a value of 50kPa. This computational approach could be used in the future to evaluate the optimal properties of the hydrogel. |
DOI | 10.1016/j.jbiomech.2017.08.024 |
Alternate Journal | J Biomech |
PubMed ID | 28888476 |
PubMed Central ID | PMC5694362 |
Grant List | R01 HL063954 / HL / NHLBI NIH HHS / United States R01 HL111090 / HL / NHLBI NIH HHS / United States T32 CA079443 / CA / NCI NIH HHS / United States U01 HL133359 / HL / NHLBI NIH HHS / United States |
Submitted by api_import on December 20, 2019 - 3:16pm