Evidence map›Paper›PMID 42080602›Full record

ArticleThe international journal of medical robotics + computer assisted surgery : MRCAS2026

Feasibility of Minimally Invasive Robot-Assisted Retrofacial Access to the Stapedius Muscle for Applications in Objective Cochlear Implant Fitting: A Cadaveric Study.

Dirk Arnold, Francesca Maule, Pablo Galeazzi, Mohannad Al-Qubaj, Orlando Guntinas-Lichius

Abstract read
In one paragraph

Article in The international journal of medical robotics + computer assisted surgery : MRCAS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Dirk ArnoldDepartment of Otorhinolaryngology, Jena University Department, Jena, Germany.
Francesca MauleMED-EL Medical Electronics, Innsbruck, Austria.
Pablo GaleazziMED-EL Medical Electronics, Innsbruck, Austria.
Mohannad Al-QubajMED-EL Medical Electronics, Innsbruck, Austria.
Orlando Guntinas-LichiusDepartment of Otorhinolaryngology, Jena University Department, Jena, Germany.ORCID https://orcid.org/0000-0001-9671-0784

Funding

MED-EL Elektromedizinische Geräte GmbH
6 · The paper itself

Abstract

backgroundAccurate setting of maximum comfort levels (MCL) during cochlear implant (CI) fitting is essential but subjective, especially in non-cooperative patients. The stapedius reflex (SR) correlates with the MCL and offers an objective measure. Surgical access to the stapedius muscle (SM) is challenging due to its proximity to the facial nerve and sigmoid sinus; a retrofacial approach is preferred. This study evaluated the feasibility of robotic-assisted SM access via this approach.

methodsTwo cadaveric heads underwent robotic drilling using the HEARO system. Preoperative CT imaging and 3D planning with OTOPLAN defined patient-specific trajectories to the SM while maintaining safe distances from critical structures. Accuracy was assessed with postoperative CT and microscopic dissection.

resultsThe SM was successfully achieved in both specimens with high precision and minimal invasiveness.

conclusionsRobotic-assisted retrofacial access to the SM is feasible and safe, supporting future precision surgery and closed-loop CI systems with objective SR monitoring.

Indexed as

Cochlear ImplantationCochlear ImplantsMinimally Invasive Surgical ProceduresProsthesis FittingRobotic Surgical ProceduresStapediusCadaverFeasibility StudiesHumansImaging, Three-DimensionalTomography, X-Ray Computedanatomic landmarkscochlear implantselectrical stimulationfittingminimally invasive surgical proceduresreflexrobotic surgical proceduresstapedius

Identifiers

PMID42080602
PMCPMC13138097

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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.