Evidence map›Paper›PMID 31763421›Full record

ArticleData in brief2019

Human bony labyrinth dataset: Co-registered CT and micro-CT images, surface models and anatomical landmarks.

Wilhelm Wimmer, Lukas Anschuetz, Stefan Weder, Franca Wagner, Hervé Delingette, Marco Caversaccio

Open access · goldAbstract read
In one paragraph

Article in Data in brief, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 22 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

6 authors at 3 institutions in 2 countries.

Wilhelm WimmerDepartment of ENT, Head and Neck Surgery, Inselspital, Bern University Hospital, Switzerland.
Lukas AnschuetzDepartment of ENT, Head and Neck Surgery, Inselspital, Bern University Hospital, Switzerland.
Stefan WederDepartment of ENT, Head and Neck Surgery, Inselspital, Bern University Hospital, Switzerland.
Franca WagnerDepartment of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, Switzerland.
Hervé DelingetteUniversité Côte d'Azur, Inria, Epione, Sophia Antipolis, France.
Marco CaversaccioDepartment of ENT, Head and Neck Surgery, Inselspital, Bern University Hospital, Switzerland.
University Hospital of Bern · CHUniversity of Bern · CHInstitut national de recherche en sciences et technologies du numérique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The presented data set consists of images, labels and surface models of 23 human bony labyrinths. For each specimen clinical computed tomography (CT) and co-registered high-resolution micro-CT images were acquired. Using the images, the bony labyrinth was segmented and 3D surface models were generated. Each specimen is accompanied by a description file containing the coordinates of anatomical landmarks and the corresponding cochlear coordinate system. The data set can be used to study the morphology of the inner ear or to evaluate segmentation algorithm as used for the preoperative planning of surgical procedures such as cochlear implantation.

Indexed as

AnatomyCochleaInner earMorphologySemicircular canalsVestibule

Identifiers

PMID31763421
PMCPMC6864122
OpenAlexW2987937014

What OpenQuestion holds

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LicenceCC BY
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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.