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Published, Version of Record (VoR)CC BY-NC-ND V4.0, Open
Journal article
Computational sensitivity investigation of hydrogel injection characteristics for myocardial support
Journal of biomechanics, v 64, pp 231-235
07 Nov 2017
PMID: 28888476
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- Computational sensitivity investigation of hydrogel injection characteristics for myocardial support
- Creators
- Hua Wang - University of KentuckyChristopher B Rodell - University of PennsylvaniaMadonna E Lee - University of PennsylvaniaNeville N Dusaj - University of PennsylvaniaJoseph H Gorman, 3rd - Gorman Cardiovascular Research Group and Department of Surgery, University of Pennsylvania, Philadelphia, PA, United StatesJason A Burdick - University of PennsylvaniaRobert C Gorman - University of PennsylvaniaJonathan F Wenk - University of Kentucky
- Publication Details
- Journal of biomechanics, v 64, pp 231-235
- Publisher
- Elsevier
- Grant note
- R01 HL063954 / NHLBI NIH HHS R01 HL111090 / NHLBI NIH HHS U01 HL133359 / NHLBI NIH HHS T32 CA079443 / NCI NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000417663300029
- Scopus ID
- 2-s2.0-85028764222
- Other Identifier
- 991019176643304721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Biophysics
- Engineering, Biomedical