Evidence map›Paper›PMID 39900534›Full record

ArticleInternational journal for numerical methods in biomedical engineering2025

Coupled Finite Element Model of the Middle and Inner Ear as Virtual Test Environment for Stapes Surgery.

D Burovikhin, M Lauxmann

Abstract read
In one paragraph

Article in International journal for numerical methods in biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

D BurovikhinReutlingen Research Institute, Reutlingen University, Reutlingen, Germany.
M LauxmannReutlingen University, Reutlingen, Germany.ORCID https://orcid.org/0000-0002-0686-2301

Funding

European Fund for Regional DevelopmentMinisterium für Wissenschaft, Forschung und Kunst Baden-Württemberg
6 · The paper itself

Abstract

In order to evaluate the performance of different types of middle-ear prostheses, a model of human ear was developed. The model was created using finite element (FE) method with the ossicles modeled as rigid bodies. First, the middle-ear FE model was developed and validated using the middle-ear transfer function measurements available in literature including pathological cases. Then, the inner-ear FE model was developed and validated using tonotopy, impedance, and relative BM motion level curves from literature. Both models are based on preexisting research with some improvements and were combined into one coupled FE model. The stapes in the coupled FE ear model was replaced with a model of a stapes prosthesis to create a reconstructed ear model that can be used to estimate how different types of stapes protheses perform relative to each other as well as to the natural ear. The influence of the diameter of the prosthesis as well as the influence of the sealing and opening of the gap in the footplate were investigated along with different measures such as maximum basilar membrane displacement, intracochlear pressure, pressure in scala vestibuli, oval and round window volume displacements, and prosthesis displacement. This will help in designing new innovative types of stapes prostheses or any other type of middle-ear prostheses, as well as to improve the ones that are already available on the market.

Indexed as

Ear, InnerEar, MiddleFinite Element AnalysisModels, BiologicalStapes SurgeryHumansOssicular Prosthesisfinite elementinner‐ear modelmiddle‐ear modelperformance measuresstapes prosthesisvirtual test environment

Identifiers

PMID39900534
PMCPMC11790512

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.