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Performance of personalised prosthesis under static pressure: Numerical analysis and experimental validation
Masoud Mohseni-Dargah1, Christopher Pastras2, Payal Mukherjee3
1School of Engineering, Macquarie University, Sydney, NSW, 2109, Australia; Department of Biochemistry, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
This study shows a prosthetic incus performs better than a columella-type prosthesis for middle ear reconstruction, improving sound transmission and reducing extrusion risk.
Area of Science:
- Biomedical Engineering
- Otolaryngology
- Computational Mechanics
Background:
- Middle ear prostheses are crucial for hearing restoration after ossicular chain reconstruction (OCR).
- Static pressure fluctuations in the middle ear can compromise prosthesis stability and function.
- Optimizing prosthesis design requires understanding its mechanical behavior under physiological pressures.
Purpose of the Study:
- To evaluate the performance of different middle ear prostheses under static pressure using numerical and experimental methods.
- To compare the efficacy of a columella-type prosthesis versus a prosthetic incus in reconstructed middle ears.
- To assess the potential of Finite Element (FE) analysis in predicting prosthesis response and optimizing surgical outcomes.
Main Methods:
- Development and validation of a Finite Element (FE) model of the human middle ear using cadaveric temporal bone data.
- Simulation of static pressure conditions within the ear canal and middle ear cavity.
- Analysis of stapes and umbo displacements, sound transmission, and stress distribution for different prosthesis types.
Main Results:
- The prosthetic incus demonstrated superior sound transmission to the inner ear compared to the columella-type prosthesis.
- The prosthetic incus exhibited more favorable stress distribution patterns on the tympanic membrane (TM).
- FE analysis accurately predicted prosthesis responses, validating its use for further investigation.
Conclusions:
- A prosthetic incus offers improved biomechanical performance and stability in middle ear reconstruction.
- Computational analysis, specifically FE modeling, is a valuable tool for prosthesis design and predicting OCR outcomes.
- This approach can help minimize risks of prosthesis displacement and reduce experimental costs in middle ear surgery.
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