Evidence map›Paper›PMID 42420719›Full record

ReviewAdvances in experimental medicine and biology2026

3D Computational Modeling of Blast Wave Transmission from External Ear to Cochlear Hair Cells.

Yijie Jiang, Rong Z Gan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yijie JiangBiomedical Engineering Laboratory, School of Aerospace and Mechanical Engineering, University of Oklahoma, Norman, OK, USA. Yijie.Jiang@ou.edu.
Rong Z GanBiomedical Engineering Laboratory, School of Aerospace and Mechanical Engineering, University of Oklahoma, Norman, OK, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human ear is a complex biomechanical system that transduces sound or blast waves into cochlear hair cells for sensory perception. Understanding the full pathway of mechanical energy transmission, from the external ear through the middle ear and into the cochlear sensory structures, is essential for advancing clinical surgical treatment, hearing protection, and auditory prostheses. Over the past two decades, finite element (FE) modeling has become a powerful tool for analyzing ear mechanics, offering insights that complement experimental limitations. This chapter summarizes major developments in 3D FE models of the human ear, from macroscale simulations of sound and blast wave propagation to microscale modeling of cochlear biomechanical responses. The macroscale models based on anatomical details of the human ear with the coupled fluid-structure interaction (FSI) analysis are reviewed first. The evolution toward multiscale models that couple cochlear partition motion with detailed representations of the organ of Corti (OC) and hair cells is then described. The integration of macroscale and microscale models enables simulations of blast-induced cochlear trauma and acoustic fatigue failure. Together, these developments offer a comprehensive framework for understanding auditory biomechanics across different length scales. This chapter is organized into two parts: Part I focuses on macroscale modeling of sound and blast wave transmission; Part II discusses multiscale and microscale modeling with applications to cochlear damage prediction.

Indexed as

Blast InjuriesComputer SimulationHair Cells, AuditoryModels, BiologicalAnimalsBiomechanical PhenomenaCochleaFinite Element AnalysisHearingHumansMechanotransduction, CellularSoundBiomechanicsBlast and acoustic waveFinite element modelingHuman earMultiscale modeling

Identifiers

PMID42420719

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.