Evidence map›Paper›PMID 29535601›Full record

ArticleFrontiers in neuroscience2018

Analysis of Vestibular Labyrinthine Geometry and Variation in the Human Temporal Bone.

Lejo Johnson Chacko, Dominik T Schmidbauer, Stephan Handschuh, Alen Reka, Karl D Fritscher, Patrik Raudaschl, Rami Saba, Michael Handler, Peter P Schier, Daniel Baumgarten and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

14 citing papers in PubMed, 28 citations in OpenAlex.

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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

16 authors at 7 institutions in 2 countries.

Lejo Johnson ChackoDepartment of Otolaryngology, Medical University of Innsbruck, Innsbruck, Austria.
Dominik T SchmidbauerDepartment of Otolaryngology, Medical University of Innsbruck, Innsbruck, Austria.
Stephan HandschuhVetImaging, VetCore Facility for Research, University of Veterinary Medicine, Vienna, Austria.
Alen RekaDepartment of Otolaryngology, Medical University of Innsbruck, Innsbruck, Austria.
Karl D FritscherInstitute of Biomedical Image Analysis, UMIT, Hall in Tirol, Austria.
Patrik RaudaschlInstitute of Biomedical Image Analysis, UMIT, Hall in Tirol, Austria.
Rami SabaMED-El GmbH, Innsbruck, Austria.
Michael HandlerInstitute of Electrical and Biomedical Engineering, UMIT, Hall in Tirol, Austria.
Peter P SchierInstitute of Electrical and Biomedical Engineering, UMIT, Hall in Tirol, Austria.
Daniel BaumgartenInstitute of Electrical and Biomedical Engineering, UMIT, Hall in Tirol, Austria.
Natalie FischerDepartment of Otolaryngology, Medical University of Innsbruck, Innsbruck, Austria.
Elisabeth J PechrigglDivision of Clinical and Functional Anatomy, Department of Anatomy, Histology and Embryology, Medical University of Innsbruck, Innsbruck, Austria.
Erich BrennerDivision of Clinical and Functional Anatomy, Department of Anatomy, Histology and Embryology, Medical University of Innsbruck, Innsbruck, Austria.
Romed HoermannDivision of Clinical and Functional Anatomy, Department of Anatomy, Histology and Embryology, Medical University of Innsbruck, Innsbruck, Austria.
Rudolf GlueckertDepartment of Otolaryngology, Medical University of Innsbruck, Innsbruck, Austria.
Anneliese Schrott-FischerDepartment of Otolaryngology, Medical University of Innsbruck, Innsbruck, Austria.
Universität Innsbruck · ATUMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik · ATInnsbruck Medical University · ATManagement Center Innsbruck · ATMED-EL (Austria) · ATTechnische Universität Ilmenau · DEUniversity of Veterinary Medicine Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stable posture and body movement in humans is dictated by the precise functioning of the ampulla organs in the semi-circular canals. Statistical analysis of the interrelationship between bony and membranous compartments within the semi-circular canals is dependent on the visualization of soft tissue structures. Thirty-one human inner ears were prepared, post-fixed with osmium tetroxide and decalcified for soft tissue contrast enhancement. High resolution X-ray microtomography images at 15 μm voxel-size were manually segmented. This data served as templates for centerline generation and cross-sectional area extraction. Our estimates demonstrate the variability of individual specimens from averaged centerlines of both bony and membranous labyrinth. Centerline lengths and cross-sectional areas along these lines were identified from segmented data. Using centerlines weighted by the inverse squares of the cross-sectional areas, plane angles could be quantified. The fit planes indicate that the bony labyrinth resembles a Cartesian coordinate system more closely than the membranous labyrinth. A widening in the membranous labyrinth of the lateral semi-circular canal was observed in some of the specimens. Likewise, the cross-sectional areas in the perilymphatic spaces of the lateral canal differed from the other canals. For the first time we could precisely describe the geometry of the human membranous labyrinth based on a large sample size. Awareness of the variations in the canal geometry of the membranous and bony labyrinth would be a helpful reference in designing electrodes for future vestibular prosthesis and simulating fluid dynamics more precisely.

Indexed as

centerlinesinner earmembranous labyrinthmicroCTsemi-circular canalsvestibular labyrinth

Identifiers

PMID29535601
PMCPMC5834493
OpenAlexW2794233288

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.