Evidence map›Paper›PMID 30620342›Full record

ArticleScientific data2019

The OpenEar library of 3D models of the human temporal bone based on computed tomography and micro-slicing.

Daniel Sieber, Peter Erfurt, Samuel John, Gabriel Ribeiro Dos Santos, Daniel Schurzig, Mads Sølvsten Sørensen, Thomas Lenarz

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
7.2field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
  2. Article
  3. Acoustical Effects of Tympanostomy Tube Attachment to Human Tympanic Membrane.Journal of the Association for Research in Otolaryngology : JARO · 2025
    Article
  4. Article
  5. Adaptive infrared patterns for microscopic surface reconstructions.International journal of computer assisted radiology and surgery · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Examining the utility of a photorealistic virtual ear in otologic education.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Evaluating the didactic value of 3D visualization in otosurgery.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2021
    Article
  18. Light sheet microscopy of the gerbil cochlea.The Journal of comparative neurology · 2021
    Article
  19. Atlas-based segmentation of cochlear microstructures in cone beam CT.International journal of computer assisted radiology and surgery · 2021
    Article
  20. 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

7 authors at 3 institutions in 3 countries.

Daniel SieberMED-EL Elektromedizinische Geräte GesmbH, Innsbruck, Austria.ORCID 0000-0001-7126-9160
Peter ErfurtHannover Medical School, Dept. Otorhinolaryngology, Hannover Germany.
Samuel JohnHörsys GmbH, Hannover, Germany.
Gabriel Ribeiro Dos SantosMED-EL Elektromedizinische Geräte GesmbH, Innsbruck, Austria.
Daniel SchurzigMED-EL Elektromedizinische Geräte GesmbH, Innsbruck, Austria.
Mads Sølvsten SørensenRigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Thomas LenarzHannover Medical School, Dept. Otorhinolaryngology, Hannover Germany.
MED-EL (Austria) · ATMedizinische Hochschule Hannover · DEUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virtual reality surgical simulation of temporal bone surgery requires digitized models of the full anatomical region in high quality and colour information to allow realistic texturization. Existing datasets which are usually based on microCT imaging are unable to fulfil these requirements as per the limited specimen size, and lack of colour information. The OpenEar Dataset provides a library consisting of eight three-dimensional models of the human temporal bone to enable surgical training including colour data. Each dataset is based on a combination of multimodal imaging including Cone Beam Computed Tomography (CBCT) and micro-slicing. 3D reconstruction of micro-slicing images and subsequent registration to CBCT images allowed for relatively efficient multimodal segmentation of inner ear compartments, middle ear bones, tympanic membrane, relevant nerve structures, blood vessels and the temporal bone. Raw data from the experiment as well as voxel data and triangulated models from the segmentation are provided in full for use in surgical simulators or any other application which relies on high quality models of the human temporal bone.

Indexed as

Cone-Beam Computed TomographyEar, InnerEar, MiddleHumansImaging, Three-DimensionalTemporal BoneX-Ray Microtomography

Identifiers

PMID30620342
PMCPMC6326113
OpenAlexW2910314606

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.