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Proof of Concept for an "eyePhone" App to Measure Video Head Impulses.
Parker, T Maxwell; Farrell, Nathan; Otero-Millan, Jorge; Kheradmand, Amir; McClenney, Ayodele; Newman-Toker, David E.
Afiliación
  • Parker TM; Division of Neuro-Visual and Vestibular Disorders, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Farrell N; Division of Neuro-Visual and Vestibular Disorders, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Otero-Millan J; Division of Neuro-Visual and Vestibular Disorders, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Kheradmand A; Optometry and Vision Science, University of California, Berkeley, Berkeley, California, USA.
  • McClenney A; Division of Neuro-Visual and Vestibular Disorders, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Newman-Toker DE; Armstrong Institute Center for Diagnostic Excellence, Baltimore, Maryland, USA.
Digit Biomark ; 5(1): 1-8, 2021.
Article en En | MEDLINE | ID: mdl-33615116
OBJECTIVE: Differentiating benign from dangerous causes of dizziness or vertigo presents a major diagnostic challenge for many clinicians. Bedside presentations of peripheral vestibular disorders and posterior fossa strokes are often indistinguishable other than by a few subtle vestibular eye movements. The most challenging of these to interpret is the head impulse test (HIT) of vestibulo-ocular reflex (VOR) function. There have been major advances in portable video-oculography (VOG) quantification of the video HIT (vHIT), but these specialized devices are not routinely available in most clinical settings. As a first step towards smartphone-based diagnosis of strokes in patients presenting vestibular symptoms, we sought proof of concept that we could use a smartphone application ("app") to accurately record the vHIT. METHODS: This was a cross-sectional agreement study comparing a novel index test (smartphone-based vHIT app) to an accepted reference standard test (VOG-based vHIT) for measuring VOR function. We recorded passive (examiner-performed) vHIT sequentially with both methods in a convenience sample of patients visiting an otoneurology clinic. We quantitatively correlated VOR gains (ratio of eye to head movements during the HIT) from each side/ear and experts qualitatively assessed the physiologic traces by the two methods. RESULTS: We recruited 11 patients; 1 patient's vHIT could not be reliably quantified with either device. The novel and reference test VOR gain measurements for each ear (n = 20) were highly correlated (Pearson's r = 0.9, p = 0.0000001) and, qualitatively, clinically equivalent. CONCLUSIONS: This preliminary study provides proof of concept that an "eyePhone" app could be used to measure vHIT and eventually developed to diagnose vestibular strokes by smartphone.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Digit Biomark Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Digit Biomark Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza