Literature DB >> 27814312

Impact of artifacts on VOR gain measures by video-oculography in the acute vestibular syndrome.

Georgios Mantokoudis1,2, Ali S Saber Tehrani2, Amy Wozniak3, Karin Eibenberger4, Jorge C Kattah5, Cynthia I Guede5, David S Zee2, David E Newman-Toker2.   

Abstract

OBJECTIVE: The video head impulse test (HIT) measures vestibular function (vestibulo-ocular reflex [VOR] gain - ratio of eye to head movement), and, in principle, could be used to make a distinction between central and peripheral causes of vertigo. However, VOG recordings contain artifacts, so using unfiltered device data might bias the final diagnosis, limiting application in frontline healthcare settings such as the emergency department (ED). We sought to assess whether unfiltered data (containing artifacts) from a video-oculography (VOG) device have an impact on VOR gain measures in acute vestibular syndrome (AVS).
METHODS: This cross-sectional study compared VOG HIT results 'unfiltered' (standard device output) versus 'filtered' (artifacts manually removed) and relative to a gold standard final diagnosis (neuroimaging plus clinical follow-up) in 23 ED patients with acute dizziness, nystagmus, gait disturbance and head motion intolerance.
RESULTS: Mean VOR gain assessment alone (unfiltered device data) discriminated posterior inferior cerebellar artery (PICA) strokes from vestibular neuritis with 91% accuracy in AVS. Optimal stroke discrimination cut points were bilateral VOR gain >0.7099 (unfiltered data) versus >0.7041 (filtered data). For PICA stroke sensitivity and specificity, there was no clinically-relevant difference between unfiltered and filtered data-sensitivity for PICA stroke was 100% for both data sets and specificity was almost identical (87.5% unfiltered versus 91.7% filtered). More impulses increased gain precision.
CONCLUSIONS: The bedside HIT remains the single best method for discriminating between vestibular neuritis and PICA stroke in patients presenting AVS. Quantitative VOG HIT testing in the ED is associated with frequent artifacts that reduce precision but not accuracy. At least 10-20 properly-performed HIT trials per tested ear are recommended for a precise VOR gain estimate.

Entities:  

Keywords:  Eye movement measurements; diagnosis; stroke; vertigo; vestibular neuritis; vestibulo-ocular reflex

Mesh:

Year:  2016        PMID: 27814312      PMCID: PMC6054448          DOI: 10.3233/VES-160587

Source DB:  PubMed          Journal:  J Vestib Res        ISSN: 0957-4271            Impact factor:   2.435


  24 in total

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Authors:  Konrad P Weber; Hamish G MacDougall; G Michael Halmagyi; Ian S Curthoys
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2.  Head impulse gain and saccade analysis in pontine-cerebellar stroke and vestibular neuritis.

Authors:  Luke Chen; Michael Todd; Gabor M Halmagyi; Swee Aw
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3.  Impulsive testing of individual semicircular canal function.

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4.  Head-shaking aids in the diagnosis of acute audiovestibular loss due to anterior inferior cerebellar artery infarction.

Authors:  Young Eun Huh; Ja-Won Koo; Hyung Lee; Ji-Soo Kim
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5.  HINTS to diagnose stroke in the acute vestibular syndrome: three-step bedside oculomotor examination more sensitive than early MRI diffusion-weighted imaging.

Authors:  Jorge C Kattah; Arun V Talkad; David Z Wang; Yu-Hsiang Hsieh; David E Newman-Toker
Journal:  Stroke       Date:  2009-09-17       Impact factor: 7.914

6.  The oculocephalic response in the evaluation of the dizzy patient.

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7.  Normal head impulse test differentiates acute cerebellar strokes from vestibular neuritis.

Authors:  David E Newman-Toker; Jorge C Kattah; Jorge E Alvernia; David Z Wang
Journal:  Neurology       Date:  2008-06-10       Impact factor: 9.910

8.  Vestibular neuritis: vertigo and the high-acceleration vestibulo-ocular reflex.

Authors:  A Palla; D Straumann; A M Bronstein
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9.  Quantitative video-oculography to help diagnose stroke in acute vertigo and dizziness: toward an ECG for the eyes.

Authors:  David E Newman-Toker; Ali S Saber Tehrani; Georgios Mantokoudis; John H Pula; Cynthia I Guede; Kevin A Kerber; Ari Blitz; Sarah H Ying; Yu-Hsiang Hsieh; Richard E Rothman; Daniel F Hanley; David S Zee; Jorge C Kattah
Journal:  Stroke       Date:  2013-03-05       Impact factor: 7.914

10.  The video head impulse test: diagnostic accuracy in peripheral vestibulopathy.

Authors:  H G MacDougall; K P Weber; L A McGarvie; G M Halmagyi; I S Curthoys
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Review 2.  [Acute vestibular syndrome : Clinical examination outperforms MRI in the detection of central lesions].

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3.  Compensatory saccades differ between those with vestibular hypofunction and multiple sclerosis pointing to unique roles for peripheral and central vestibular inputs.

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Review 4.  The Video Head Impulse Test.

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5.  Usability of the Video Head Impulse Test: Lessons From the Population-Based Prospective KORA Study.

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6.  Quantifying a Learning Curve for Video Head Impulse Test: Pitfalls and Pearls.

Authors:  Athanasia Korda; Thomas C Sauter; Marco Domenico Caversaccio; Georgios Mantokoudis
Journal:  Front Neurol       Date:  2021-01-22       Impact factor: 4.003

7.  Stroke Prediction Based on the Spontaneous Nystagmus Suppression Test in Dizzy Patients: A Diagnostic Accuracy Study.

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Review 8.  Current concepts in acute vestibular syndrome and video-oculography.

Authors:  Georgios Mantokoudis; Jorge Otero-Millan; Daniel R Gold
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9.  The HINTS examination and STANDING algorithm in acute vestibular syndrome: A systematic review and meta-analysis involving frontline point-of-care emergency physicians.

Authors:  Millie Nakatsuka; Emma E Molloy
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10.  Proof of Concept for an "eyePhone" App to Measure Video Head Impulses.

Authors:  T Maxwell Parker; Nathan Farrell; Jorge Otero-Millan; Amir Kheradmand; Ayodele McClenney; David E Newman-Toker
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