Evidence map›Paper›PMID 32737858›Full record

ArticleInternational journal of computer assisted radiology and surgery2020

Augmented reality for inner ear procedures: visualization of the cochlear central axis in microscopic videos.

Raabid Hussain, Alain Lalande, Kibrom Berihu Girum, Caroline Guigou, Alexis Bozorg Grayeli

Abstract read
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Article
  3. Perception-first digital twin for augmented reality microsurgery.International journal of computer assisted radiology and surgery · 2026
    Article
  4. Effects of Electrode Position on Vestibular Implant Performance in Rhesus Macaque.Journal of the Association for Research in Otolaryngology : JARO · 2026
    Article
  5. Deep Learning in Otolaryngology: A Narrative Review.JAMA otolaryngology-- head & neck surgery · 2026
    Review
  6. Review
  7. From microscope to head-mounted display: integrating hand tracking into microsurgical augmented reality.International journal of computer assisted radiology and surgery · 2024
    Article
  8. Review
  9. Stereoscopic calibration for augmented reality visualization in microscopic surgery.International journal of computer assisted radiology and surgery · 2023
    Article
  10. Article
  11. Research and application progress in deep learning in otology.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023
    Article
  12. Article
  13. 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 at 1 institution in 1 country.

Raabid HussainImViA Laboratory, University of Burgundy, Batiment I3M, 64b Rue Sully, 21000, Dijon, France. raabid.hussain@u-bourgogne.fr.ORCID http://orcid.org/0000-0001-7831-3267
Alain LalandeImViA Laboratory, University of Burgundy, Batiment I3M, 64b Rue Sully, 21000, Dijon, France.
Kibrom Berihu GirumImViA Laboratory, University of Burgundy, Batiment I3M, 64b Rue Sully, 21000, Dijon, France.
Caroline GuigouImViA Laboratory, University of Burgundy, Batiment I3M, 64b Rue Sully, 21000, Dijon, France.
Alexis Bozorg GrayeliImViA Laboratory, University of Burgundy, Batiment I3M, 64b Rue Sully, 21000, Dijon, France.
Université de Bourgogne · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeVisualization of the cochlea is impossible due to the delicate and intricate ear anatomy. Augmented reality may be used to perform auditory nerve implantation by transmodiolar approach in patients with profound hearing loss.

methodsWe present an augmented reality system for the visualization of the cochlear axis in surgical videos. The system starts with an automatic anatomical landmark detection in preoperative computed tomography images based on deep reinforcement learning. These landmarks are used to register the preoperative geometry with the real-time microscopic video captured inside the auditory canal. Three-dimensional pose of the cochlear axis is determined using the registration projection matrices. In addition, the patient microscope movements are tracked using an image feature-based tracking process.

resultsThe landmark detection stage yielded an average localization error of [Formula: see text] mm ([Formula: see text]). The target registration error was [Formula: see text] mm for the cochlear apex and [Formula: see text] for the cochlear axis.

conclusionWe developed an augmented reality system to visualize the cochlear axis in intraoperative videos. The system yielded millimetric accuracy and remained stable throughout the experimental study despite camera movements throughout the procedure in experimental conditions.

Indexed as

Augmented RealityCochleaHumansMicroscopySurgery, Computer-AssistedTomography, X-Ray ComputedAugmented realityCochleaLandmark detectionOtologyReinforcement learning

Identifiers

PMID32737858
OpenAlexW3046458197

What OpenQuestion holds

Textmetadata
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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.