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A 3D benign paroxysmal positional vertigo model for study of otolith disease

Overview of attention for article published in World Journal of Otorhinolaryngology-Head and Neck Surgery, March 2016
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Title
A 3D benign paroxysmal positional vertigo model for study of otolith disease
Published in
World Journal of Otorhinolaryngology-Head and Neck Surgery, March 2016
DOI 10.1016/j.wjorl.2016.02.002
Pubmed ID
Authors

Michael Teixido, Owen Woods, Brian Kung, Mohammad Seyyedi

Abstract

To develop a three-dimensional study tool of the membranous labyrinth in order to study the pathophysiology, diagnostic workup and treatment of benign paroxysmal positional vertigo (BPPV). BPPV is the most common cause of peripheral vertigo. Its diagnosis and treatment depend on an understanding of the anatomy of the vestibular labyrinth and its position relative to the head. To date, many illustrations have been made to explain principals of diagnosis and treatment of BPPV, but few have been based on anatomical studies of the membranous labyrinth. A cadaveric human membranous labyrinth was axially sectioned at 20 μm resolution, stained and segmented to create a high-resolution digital model. The model was cloned to create an enantiomeric pair of labyrinths. These were associated a 3D model of a human skull, segmented from MRI data, and were oriented according to established anatomic norms. Canal markers representing otoliths were created to mark canalith position during movement of the model within the 3D environment. The model allows visualization of true membranous labyrinth anatomy in both ears simultaneously. The dependent portion of each semicircular duct and of the utricle can easily be visualized in any head position. Moveable markers can mark the expected progress of otolith debris with changes in head position and images can be captured to document simulations. The model can be used to simulate pathology as well as diagnostic maneuvers and treatment procedures used for BPPV. The model has great potential as a teaching tool. A simple model based on human anatomy has been created to allow careful study of BPPV pathophysiology and treatment. Going forward, this tool could offer insights that may lead to more accurate diagnosis and treatment of BPPV.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 15%
Student > Master 3 12%
Other 2 8%
Unspecified 2 8%
Student > Bachelor 2 8%
Other 5 19%
Unknown 8 31%
Readers by discipline Count As %
Medicine and Dentistry 9 35%
Unspecified 2 8%
Nursing and Health Professions 2 8%
Psychology 2 8%
Business, Management and Accounting 1 4%
Other 1 4%
Unknown 9 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 December 2017.
All research outputs
#17,285,668
of 25,374,647 outputs
Outputs from World Journal of Otorhinolaryngology-Head and Neck Surgery
#81
of 156 outputs
Outputs of similar age
#189,490
of 312,602 outputs
Outputs of similar age from World Journal of Otorhinolaryngology-Head and Neck Surgery
#3
of 3 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 156 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 312,602 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.