Literature DB >> 33551973

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

Athanasia Korda1, Thomas C Sauter2, Marco Domenico Caversaccio1, Georgios Mantokoudis1.   

Abstract

Objective: The video head impulse test (vHIT) is nowadays a fast and objective method to measure vestibular function. However, its usability is controversial and often considered as a test performed by experts only. We sought to study the learning curve of novices and to document all possible mistakes and pitfalls in the process of learning.
Methods: In a prospective cohort observational study, we included 10 novices. We tested their ability to perform correctly horizontal head impulses recorded with vHIT. We assessed vHITs in 10 sessions with 20 impulses per session giving a video instruction after the first session (S1) and individual feedback from an expert for session 2 (S2) up to session 10 (S10). We compared VOR gain, the HIT acceptance rate by the device algorithm, mean head velocity, acceleration, excursion, and overshoot between sessions.
Results: A satisfying number of accepted HITs (80%) was reached after an experience of 160 vHITs. Mean head velocity between sessions was always in accepted limits. Head acceleration was too low at the beginning (S1) but improved significantly after the video instruction (p = 0.001). Mean head excursion and overshoot showed a significant improvement after 200 head impulses (p < 0.001 each). Conclusions: We showed that novices can learn to perform head impulses invHIT very fast provided that they receive instructions and feedback from an experienced examiner. Video instructions alone were not sufficient. The most common pitfall was a low head acceleration.
Copyright © 2021 Korda, Sauter, Caversaccio and Mantokoudis.

Entities:  

Keywords:  emergency department; head impulse test; learning curve; vertigo; video head impulse test (vHIT)

Year:  2021        PMID: 33551973      PMCID: PMC7862580          DOI: 10.3389/fneur.2020.615651

Source DB:  PubMed          Journal:  Front Neurol        ISSN: 1664-2295            Impact factor:   4.003


  23 in total

1.  Accuracy of the bedside head impulse test in detecting vestibular hypofunction.

Authors:  M Jorns-Häderli; D Straumann; A Palla
Journal:  J Neurol Neurosurg Psychiatry       Date:  2007-01-12       Impact factor: 10.154

2.  Acute VOR gain differences for outward vs. inward head impulses.

Authors:  Michael C Schubert; Georgios Mantokoudis; Li Xie; Yuri Agrawal
Journal:  J Vestib Res       Date:  2014       Impact factor: 2.435

3.  A clinical evaluation of head impulse testing.

Authors:  G J Beynon; P Jani; D M Baguley
Journal:  Clin Otolaryngol Allied Sci       Date:  1998-04

4.  Effect of Goggle Slippage on the Video Head Impulse Test Outcome and Its Mechanisms.

Authors:  Myung-Whan Suh; Jae Hong Park; Seong Il Kang; Jae Hyun Lim; Moo Kyun Park; Seong Keun Kwon
Journal:  Otol Neurotol       Date:  2017-01       Impact factor: 2.311

5.  A clinical sign of canal paresis.

Authors:  G M Halmagyi; I S Curthoys
Journal:  Arch Neurol       Date:  1988-07

6.  Relevance of Artifact Removal and Number of Stimuli for Video Head Impulse Test Examination.

Authors:  Gabriel Trinidad-Ruiz; Jorge Rey-Martinez; Eusebi Matiño-Soler; Angel Batuecas-Caletrio; Eduardo Martin-Sanz; Nicolas Perez-Fernandez
Journal:  Ear Hear       Date:  2020 Sep/Oct       Impact factor: 3.570

7.  Head position and increased head velocity to optimize video head impulse test sensitivity.

Authors:  Young Joon Seo; Yoon Ah Park; Tae Hoon Kong; Mi Ran Bae; Sung Huhn Kim
Journal:  Eur Arch Otorhinolaryngol       Date:  2016-03-15       Impact factor: 2.503

8.  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

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

Authors:  Maria Heuberger; Eva Grill; Murat Saǧlam; Cecilia Ramaioli; Martin Müller; Ralf Strobl; Rolf Holle; Annette Peters; Erich Schneider; Nadine Lehnen
Journal:  Front Neurol       Date:  2018-08-17       Impact factor: 4.003

10.  How Good Are We in Evaluating a Bedside Head Impulse Test?

Authors:  Athanasia Korda; John Patrick Carey; Ewa Zamaro; Marco Domenico Caversaccio; Georgios Mantokoudis
Journal:  Ear Hear       Date:  2020 Nov/Dec       Impact factor: 3.562

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  5 in total

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

Authors:  Georgios Mantokoudis; Thomas Wyss; Ewa Zamaro; Athanasia Korda; Franca Wagner; Thomas C Sauter; Hassen Kerkeni; Roger Kalla; Miranda Morrison; Marco Domenico Caversaccio
Journal:  Neurology       Date:  2021-05-13       Impact factor: 11.800

Review 2.  Current concepts in acute vestibular syndrome and video-oculography.

Authors:  Georgios Mantokoudis; Jorge Otero-Millan; Daniel R Gold
Journal:  Curr Opin Neurol       Date:  2022-02-01       Impact factor: 5.710

3.  Videooculography "HINTS" in Acute Vestibular Syndrome: A Prospective Study.

Authors:  Athanasia Korda; Wilhelm Wimmer; Ewa Zamaro; Franca Wagner; Thomas C Sauter; Marco D Caversaccio; Georgios Mantokoudis
Journal:  Front Neurol       Date:  2022-07-12       Impact factor: 4.086

4.  Artificial intelligence for early stroke diagnosis in acute vestibular syndrome.

Authors:  Athanasia Korda; Wilhelm Wimmer; Thomas Wyss; Efterpi Michailidou; Ewa Zamaro; Franca Wagner; Marco D Caversaccio; Georgios Mantokoudis
Journal:  Front Neurol       Date:  2022-09-08       Impact factor: 4.086

5.  Paradigm shift in acute dizziness: is caloric testing obsolete?

Authors:  Miranda Morrison; Athanasia Korda; Ewa Zamaro; Franca Wagner; Marco D Caversaccio; Thomas C Sauter; Roger Kalla; Georgios Mantokoudis
Journal:  J Neurol       Date:  2021-06-30       Impact factor: 4.849

  5 in total

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