Finite element analysis of anatomically-modelled prosthetic incus for ossicular chain reconstruction

Ossicular chain reconstruction (OCR) is the gold standard for repairing conductive hearing loss (CHL) using prosthetic devices. However, few techniques can validate prosthesis performance before translational implementation. This study not only validates a Finite Element (FE) model for examining (reconstructed) middle ear biomechanics, but also evaluates the potential of personalised prosthetic devices for OCR. Additionally, this research examines tricalcium phosphate (TCP), as a potential biomaterial, besides titanium and hydroxyapatite (HA), as commonly used biomaterials for use in (personalised) OCR. Here, the designed FE model tested the hypothesis that 3D anatomically modelled prosthetic devices (prosthetic incus) can reliably restore sound transmission using appropriate biomaterials, including titanium, HA, or TCP. Our FE modelling examined middle ear biomechanics before and after prosthesis replacement for each biomaterial assignment. Results demonstrated the FE model is in agreement with experimental vibrometry recordings of ossicular motion and earlier numerical simulations. Additionally, the anatomically modelled prosthetic incus closely mimicked normal middle ear biomechanics, revealing its potential for OCR. FE analysis revealed no significant differences between titanium, HA, and TCP prostheses functions, serving as first-order evidence for their support in OCR. This research establishes a FE-based framework for personalised OCR following imaging, which is valuable for future personalised treatments for patients with CHL due to ossicular dysfunction. FE simulations can evaluate the biomechanics and function of prostheses, helping the surgeon make well-informed decisions regarding OCR for translational outcomes.

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Publication Details

Journal
Computers in Biology and Medicine
Published
2025-02-04
DOI
https://doi.org/10.1016/j.compbiomed.2025.109770
Citations
2
Primary Topic
Reconstructive Surgery and Microvascular Techniques
Type
article
Field-Weighted Citation Impact
4.01
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article

Finite element analysis of anatomically-modelled prosthetic incus for ossicular chain reconstruction

Masoud Mohseni‐Dargah, Payal Mukherjee, Christopher J. Pastras, Kai Cheng et al.
2 citations
Computers in Biology and Medicine
Reconstructive Surgery and Microvascular Techniques
4.01
article

Finite element analysis of anatomically-modelled prosthetic incus for ossicular chain reconstruction

Masoud Mohseni‐Dargah, Payal Mukherjee, Christopher J. Pastras, Kai Cheng, Khosro Khajeh, Mohsen Asadnia
article en
2 citations

Abstract

Ossicular chain reconstruction (OCR) is the gold standard for repairing conductive hearing loss (CHL) using prosthetic devices. However, few techniques can validate prosthesis performance before translational implementation. This study not only validates a Finite Element (FE) model for examining (reconstructed) middle ear biomechanics, but also evaluates the potential of personalised prosthetic devices for OCR. Additionally, this research examines tricalcium phosphate (TCP), as a potential biomaterial, besides titanium and hydroxyapatite (HA), as commonly used biomaterials for use in (personalised) OCR. Here, the designed FE model tested the hypothesis that 3D anatomically modelled prosthetic devices (prosthetic incus) can reliably restore sound transmission using appropriate biomaterials, including titanium, HA, or TCP. Our FE modelling examined middle ear biomechanics before and after prosthesis replacement for each biomaterial assignment. Results demonstrated the FE model is in agreement with experimental vibrometry recordings of ossicular motion and earlier numerical simulations. Additionally, the anatomically modelled prosthetic incus closely mimicked normal middle ear biomechanics, revealing its potential for OCR. FE analysis revealed no significant differences between titanium, HA, and TCP prostheses functions, serving as first-order evidence for their support in OCR. This research establishes a FE-based framework for personalised OCR following imaging, which is valuable for future personalised treatments for patients with CHL due to ossicular dysfunction. FE simulations can evaluate the biomechanics and function of prostheses, helping the surgeon make well-informed decisions regarding OCR for translational outcomes.

Computers in Biology and MedicineVol. 187
Tarbiat Modares University (IR), Chris O’Brien Lifehouse (AU), Macquarie University (AU)
Openalex Percentile: Top 9%
Reconstructive Surgery and Microvascular Techniques
4.01
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