Evidence map›Paper›PMID 29357924›Full record

ArticleJournal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale2018

An automated A-value measurement tool for accurate cochlear duct length estimation.

John E Iyaniwura, Mai Elfarnawany, Hanif M Ladak, Sumit K Agrawal

Abstract read
In one paragraph

Article in Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  8. Cone beam CT for perioperative imaging in hearing preservation Cochlear implantation - a human cadaveric study.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale · 2019
    Article
  9. Validating a New Tablet-based Tool in the Determination of Cochlear Implant Angular Insertion Depth.Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology · 2019
    Article
  10. 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

4 authors.

John E IyaniwuraBiomedical Engineering Graduate Program, Western University, 1151 Richmond Street, London, ON, N6A 3K7, Canada. jiyaniwu@uwo.ca.
Mai ElfarnawanyDepartment of Otolaryngology-Head and Neck Surgery, Western University, London, ON, Canada.
Hanif M LadakBiomedical Engineering Graduate Program, Western University, 1151 Richmond Street, London, ON, N6A 3K7, Canada.
Sumit K AgrawalBiomedical Engineering Graduate Program, Western University, 1151 Richmond Street, London, ON, N6A 3K7, Canada.

Funding

MITACS Accelerate Internship (CA) IT04182Natural Sciences and Engineering Research Council of Canada RGPIN-2015-03799
6 · The paper itself

Abstract

backgroundThere has been renewed interest in the cochlear duct length (CDL) for preoperative cochlear implant electrode selection and postoperative generation of patient-specific frequency maps. The CDL can be estimated by measuring the A-value, which is defined as the length between the round window and the furthest point on the basal turn. Unfortunately, there is significant intra- and inter-observer variability when these measurements are made clinically. The objective of this study was to develop an automated A-value measurement algorithm to improve accuracy and eliminate observer variability.

methodClinical and micro-CT images of 20 cadaveric cochleae specimens were acquired. The micro-CT of one sample was chosen as the atlas, and A-value fiducials were placed onto that image. Image registration (rigid affine and non-rigid B-spline) was applied between the atlas and the 19 remaining clinical CT images. The registration transform was applied to the A-value fiducials, and the A-value was then automatically calculated for each specimen. High resolution micro-CT images of the same 19 specimens were used to measure the gold standard A-values for comparison against the manual and automated methods.

resultsThe registration algorithm had excellent qualitative overlap between the atlas and target images. The automated method eliminated the observer variability and the systematic underestimation by experts. Manual measurement of the A-value on clinical CT had a mean error of 9.5 ± 4.3% compared to micro-CT, and this improved to an error of 2.7 ± 2.1% using the automated algorithm. Both the automated and manual methods correlated significantly with the gold standard micro-CT A-values (r = 0.70, p < 0.01 and r = 0.69, p < 0.01, respectively).

conclusionAn automated A-value measurement tool using atlas-based registration methods was successfully developed and validated. The automated method eliminated the observer variability and improved accuracy as compared to manual measurements by experts. This open-source tool has the potential to benefit cochlear implant recipients in the future.

Indexed as

AlgorithmsAutomationCadaverCanadaCochlear DuctCochlear ImplantationCochlear ImplantsDissectionHumansTomography, X-Ray ComputedAtlas-based registrationA-valueCochlear duct lengthCochlear implantsComputer tomography

Identifiers

PMID29357924
PMCPMC5778705

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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.