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Fatigue exhaustion of the mitral valve tissue

  • Farhad Javid
  • Nastaran Shahmansouri
  • Jorge Angeles
  • Rosaire Mongrain
Original Paper
  • 76 Downloads

Abstract

Sudden failure and rupture of the tissue is a rare but serious short-term complication after the mitral valve surgical repair. Excessive cyclic loading on the suture line of the repair can progressively damage the surrounding tissue and finally cause tissue rupture. Moreover, mechanical over-tension, which occurs in a diseased mitral valve, gradually leads to tissue floppiness, mitral annular dilation, and leaflet rupture. In this work, the rupture mechanics of mitral valve is studied by characterizing the fracture toughness exhaustion of healthy tissue. Results of this study show that fracture toughness of the posterior mitral valve is lower than its anterior counterpart, indicating that posterior tissue is more prone to failure. Moreover, the decrease in fracture toughness by increasing the number of fatigue cycles shows that excessive mechanical loading leads to progressive failure and rupture of mitral valve tissue within a damage accumulative process.

Keywords

Fracture toughness Tissue rupture Mitral valve Suture failure Percutaneous annuloplasty 

Notes

Acknowledgements

We wish to thank Mr. Boby Chu for the design and fabrication of the fatigue and the fracture toughness devices and Dr. Amir K. Miri Ramsheh for helping us to set up and to calibrate the devices. We also thank NSERC, Canada’s Natural Sciences and Engineering Research Council, and FRQNT, Quebec’s Fonds de recherche du Québec Nature et Technologies, for their financial support.

Compliance with ethical standards

Conflict of interest

There is no conflict of interest for any author related to this article.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Koch Institute for Cancer ResearchMassachusetts Institute of TechnologyCambridgeUSA
  2. 2.Department of Mechanical EngineeringMcGill UniversityMontrealCanada
  3. 3.Department of Mechanical Engineering, Centre for Intelligent MachinesMcGill UniversityMontrealCanada

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